System

Abstract

To provide a system for promoting comfortable sleep of a baby.SOLUTION: A system includes a music generation means for promoting sleep of a baby, a music reproduction means for reproducing music generated by the music generation means, a monitoring means for monitoring a state of the baby related to the music reproduction means, a transmission means for transmitting data generated based on the state of the baby to a remote server, a control means for controlling the music reproduction means and a temperature adjustment means for the stuffed toy based on the data received from the remote server, a temperature adjustment means for adjusting the temperature of the stuffed toy, and a means for holding the temperature adjusted by the temperature adjustment means.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The technology of the present disclosure relates to a system. [Background technology]

[0002] Patent document 1 discloses a persona chatbot control method performed by at least one processor, the method including the steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to a description of the chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-180282 Summary of the Invention [Problem to be solved by the invention]

[0004] Putting a baby to sleep is a significant burden for parents, and it can be particularly stressful and tiring when a baby struggles to fall asleep. Using the same lullaby over and over again can lead to boredom, and the lullaby's effectiveness gradually diminishes. It is also difficult to accurately monitor a baby's sleep state and take appropriate action based on that state. The present invention aims to solve these problems and provide a system for promoting comfortable sleep in babies. [Means for solving the problem]

[0005] The present invention solves the above-mentioned problems by providing a system including the following means: a music generation means for promoting sleep in a baby; a music playback means for playing music generated by the music generation means; a monitoring means for monitoring the baby's condition related to the music playback means; a transmission means for transmitting data generated based on the baby's condition to a remote server; a control means for controlling the music playback means and the temperature adjustment means of the stuffed toy based on the data received from the remote server; a temperature adjustment means for adjusting the temperature of the stuffed toy; and a means for maintaining the temperature adjusted by the temperature adjustment means. This system generates and plays music optimal for each baby's condition, providing a stable and comfortable sleeping environment at an appropriate temperature. Furthermore, the system can automatically stop music playback and temperature adjustment when the baby falls asleep, thereby reducing the burden on parents.

[0006] The "music generator" is a means for creating new lullabies to promote sleep for babies.

[0007] The "music playback means" is a means for playing back the generated lullaby.

[0008] A "monitoring means" is a means for observing the baby's condition in real time and obtaining that data.

[0009] The "transmission means" is a means for transmitting the acquired baby condition data to a remote server.

[0010] The "control means" is a means for operating the music playback means and the temperature adjustment means of the stuffed toy based on data received from the server.

[0011] "Temperature adjustment means" refers to a means for adjusting the temperature of the stuffed toy and maintaining it at a specified temperature.

[0012] A "stuffed toy" is a stuffed animal that is designed to give babies a sense of security by having the temperature of human skin.

[0013] The "server" is a remote computer system that receives and analyzes the baby's condition data and issues instructions based on the results of that analysis. [Brief explanation of the drawings]

[0014] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14]FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0015] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0016] First, the terms used in the following description will be explained.

[0017] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0018] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0019] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0020] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0021] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0022] [First embodiment]

[0023] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0024] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0025] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0026] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0027] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0028] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0029] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0030] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0031] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0032] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0033] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0034] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0035] The present invention is a system for effectively promoting sleep in babies, and is configured as follows.

[0036] Overall system configuration

[0037] The system includes a music generating means, a music playing means, a monitoring means, a transmitting means, a control means, a temperature adjusting means, and a stuffed toy, which work together to optimize the baby's sleeping environment.

[0038] Music Generation Means

[0039] The server generates lullabies tailored to each baby's individual needs based on user input. Specifically, it uses algorithms to create optimal melodies and rhythms based on information such as the baby's age, past sleep patterns, and the current time of day. The music is then generated as a digital audio file and sent to the device.

[0040] Music playback means

[0041] The device plays the lullaby sent from the server. The music playback means plays music near the baby through a speaker to promote sleep. The user can start playback and monitor the sound using a smartphone or tablet.

[0042] monitoring means

[0043] The device is equipped with a camera that captures the baby's condition in real time. The camera has high resolution and can capture the baby's movements in detail. This video data is used to accurately understand the baby's condition.

[0044] Transmission method

[0045] The captured video data and other sensor data are transmitted from the device to a server. The transmission means has a function of reliably delivering the data to the server using a network connection.

[0046] Control means

[0047] The server analyzes the data and determines the baby's sleep state. Based on the analysis results, it sends commands to the device. For example, if it determines that the baby has fallen asleep, it stops playing music and instructs the device to adjust the temperature of the stuffed toy.

[0048] Temperature adjustment means

[0049] The terminal adjusts the temperature of the stuffed toy based on instructions from the server. The stuffed toy has an internal heater that keeps it at body temperature (approximately 36.5°C) to give the baby a sense of comfort. The temperature adjustment means uses a sensor to maintain the temperature within a certain range.

[0050] Specific examples

[0051] Example of putting a child to bed at 7pm:

[0052] The user opens the app on their smartphone and enters information about their baby (such as the time they started putting their baby to sleep and their recent sleep patterns).

[0053] Based on the information acquired by the server, a new lullaby is generated and sent to the terminal.

[0054] The device plays music, monitors the baby via a camera, and regulates the temperature of the stuffed toy.

[0055] The device sends data to a server in real time, which then analyzes it to determine the baby's sleep state. When it determines that the baby has fallen asleep, it stops playing music and heating the stuffed toy.

[0056] Nap time example:

[0057] The user launches the app at noon and inputs that it's time for a nap.

[0058] The server generates a new lullaby based on past nap data and sends it to the device.

[0059] The device plays music, the camera monitors the baby, and the stuffed toy's temperature is adjusted accordingly.

[0060] The device sends the acquired data to a server, which analyzes it. If the server determines that the baby has fallen asleep, it stops playing music and adjusting the temperature of the stuffed toy.

[0061] As described above, the present invention is a system that automatically takes appropriate action according to the baby's condition, greatly reducing the burden on parents and supporting comfortable sleep for babies.

[0062] The processing flow will be explained below.

[0063] Step 1:

[0064] The user launches a dedicated app on their smartphone or tablet and enters information about their baby (age, recent sleep patterns, current time of day, etc.).

[0065] Step 2:

[0066] The device sends the entered information to a server using an internet connection.

[0067] Step 3:

[0068] The server analyzes the received information and generates the optimal lullaby to promote sleep for the baby, using an algorithm that takes into account the baby's age, past sleep data, and the current time of day.

[0069] Step 4:

[0070] The server creates a digital audio file of the generated lullaby and transmits the file to the terminal.

[0071] Step 5:

[0072] Plays audio files received by the device, either through the built-in speaker or an external speaker.

[0073] Step 6:

[0074] The user places the stuffed toy near the baby and receives instructions from the device to turn on the stuffed toy and set it to body temperature.

[0075] Step 7:

[0076] The device adjusts the temperature of the stuffed animal to human skin temperature, and the stuffed animal has a built-in heater and thermostat to maintain a set temperature of 36.5°C.

[0077] Step 8:

[0078] A camera installed in the device captures video of the baby and sends the video data to a server in real time, recording in detail the baby's movements, eye opening and closing, breathing rhythm, and more.

[0079] Step 9:

[0080] The server analyzes the received video data and determines the baby's sleep state using image processing technology and machine learning algorithms.

[0081] Step 10:

[0082] When the server determines that the baby has fallen asleep, it immediately notifies the device, which includes instructions to stop music playback and to stop adjusting the temperature of the stuffed toy.

[0083] Step 11:

[0084] The device will stop playing music and stop adjusting the plush toy's temperature. The plush toy's heater will turn off and the temperature will return to normal.

[0085] Step 12:

[0086] The server notifies the user that the baby has fallen asleep via push notification, SMS, or email.

[0087] The above are the specific processing steps of the system, which automatically provide a comfortable sleeping environment for the baby.

[0088] Example 1

[0089] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0090] While there are many ways to promote baby sleep, managing a baby's sleep can be a significant burden for today's busy parents. Manual tasks such as selecting and playing effective lullabies and monitoring the baby's condition can be time-consuming and labor-intensive. Therefore, there is a need for an automated system that helps parents optimize their baby's sleep environment and ensure comfortable sleep.

[0091] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0092] In this invention, the server includes a music generating means for generating a lullaby based on information about the baby provided by the user, a control means for analyzing data sent to the remote server and determining the baby's sleeping state, and a temperature adjusting means for adjusting the temperature of the stuffed toy based on the baby's state. This reduces the burden on the user and enables a system that automatically supports a comfortable sleep for the baby.

[0093] "User" refers to the parent or guardian who uses the system and enters information about their baby.

[0094] "Baby" refers to children whose sleep environment is being optimized.

[0095] "Information" refers to data including the baby's age, past sleep patterns, current time of day, etc.

[0096] "Music generation means" refers to the function that uses AI to generate lullabies based on information provided by the user.

[0097] "Lullaby" refers to music in audio file format that promotes sleep in babies.

[0098] "Music playback means" refers to a device that plays the generated lullaby through a speaker or the like.

[0099] "Terminal" refers to a device, such as a smartphone or tablet, that is equipped with means for operating and monitoring music playback means.

[0100] "Camera" refers to an image capture device that captures the baby's condition in real time.

[0101] "Monitoring means" refers to the function of monitoring the baby's condition in real time using a camera.

[0102] The "transmission means" refers to a function for transmitting data acquired by the monitoring means to a remote server.

[0103] "Server" refers to a central management device that manages the entire system and performs data analysis and control instructions.

[0104] "Control means" refers to a function that controls the music playback means and the temperature adjustment means based on data received from the server.

[0105] "Temperature adjustment means" refers to the function of adjusting the temperature of the stuffed animal according to the baby's condition.

[0106] A "stuffed toy" is an item that has a built-in heater inside to give babies a sense of security.

[0107] "Data" refers to information including the baby's condition and sleep status.

[0108] "Analysis" refers to the process by which the server determines the baby's sleep state based on the data sent.

[0109] This invention is a system for effectively promoting a baby's sleep. The system includes a music generating means, a music playing means, a monitoring means, a transmitting means, a control means, a temperature adjusting means, and a stuffed toy. These elements work together to optimize the baby's sleep environment.

[0110] Music Generation Means

[0111] The server receives information about the baby provided by the user, such as age, past sleep patterns, and current time of day. Using a generative AI model on the server, it generates a lullaby tailored to the baby's needs. The generated music file is saved in digital audio format.

[0112] Specific examples:

[0113] Once the user inputs information such as the baby's age (6 months), recent sleep patterns (3 wake-ups between 7pm and 7am), and the current time of day (7pm), the server uses a generative AI model to construct a soothing lullaby melody.

[0114] Music playback means

[0115] The device receives lullabies sent from the server, decodes the received music files, and plays them near the baby through a speaker. The user can then start playback and monitor the sound using a smartphone or tablet.

[0116] monitoring means

[0117] The device is equipped with a high-resolution camera that captures the baby's movements in real time and temporarily stores the video data, which is used to closely monitor the baby's condition.

[0118] Transmission method

[0119] The device transmits the captured video data and other sensor data to the server via a network connection, compressing the data to ensure reliable transmission.

[0120] Control means

[0121] The server analyzes the received data and determines the baby's sleep state. For example, if it determines that the baby has fallen asleep, the server sends a command to the device to stop playing music. At the same time, it also sends a command to adjust the temperature of the stuffed toy.

[0122] Temperature adjustment means

[0123] The terminal adjusts the temperature of the stuffed toy based on instructions from the server. The stuffed toy is equipped with an internal heater and is kept at the temperature of human skin (approximately 36.5°C). The temperature adjustment means uses a sensor to maintain the temperature of the stuffed toy within a certain range.

[0124] Specific examples

[0125] Example of putting a child to bed at 7pm:

[0126] 1. The user enters information about their baby (such as the time the baby was put to sleep and recent sleep patterns) into a smartphone app.

[0127] 2. The server generates a new lullaby based on this information and sends it to the device.

[0128] 3. The device will play music, monitor your baby with a camera, and adjust the temperature of the stuffed toy accordingly.

[0129] 4. The device sends the data to the server in real time, and the server analyzes the data to determine the baby's sleep state. If it determines that the baby has fallen asleep, it stops playing music and adjusting the temperature of the stuffed toy.

[0130] Examples of naps:

[0131] 1. The user launches the app at noon and inputs that it is time for a nap.

[0132] 2. The server generates a new lullaby based on past nap data and sends it to the device.

[0133] 3. The device will play music, the camera will monitor the baby, and the temperature of the stuffed toy will be adjusted accordingly.

[0134] 4. The device sends the acquired data to the server, and when the server analyzes the data and determines that the baby has fallen asleep, it stops playing music and adjusting the temperature of the stuffed toy.

[0135] Prompt Sentence Examples

[0136] "Generate appropriate lullabies based on your baby's current age and recent sleep patterns."

[0137] "Analyze the baby's sleep state based on the video data captured by the camera and report the results."

[0138] "Once you determine your baby has fallen asleep, stop playing the lullaby and adjust the temperature of the stuffed toy appropriately."

[0139] This system significantly reduces the burden on the user and provides a series of automated processes to support comfortable sleep for babies.

[0140] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0141] Step 1:

[0142] The user enters the baby's information.

[0143] Specifically, the user launches a dedicated smartphone app and inputs information such as the baby's age, past sleep patterns, and the current time of day. The input data becomes the basis for the system to generate lullabies.

[0144] Input: Data such as baby's age, past sleep patterns, and current time of day.

[0145] Output: Baby information sent to the server.

[0146] Step 2:

[0147] The server generates the lullaby.

[0148] Specifically, the server uses a generative AI model to generate an optimal lullaby based on the received baby information, constructing melodies and rhythms based on the baby's age and sleep patterns, and saving the generated music file in digital audio format.

[0149] Input: Baby information.

[0150] Output: A digital audio file of the generated lullaby.

[0151] Data processing: Creating music data using a generative AI model.

[0152] Step 3:

[0153] The server sends the generated lullaby to the device.

[0154] Specifically, the server sends the generated music file to the device as a data packet over the Internet, and confirms that the device has received the data.

[0155] Input: A digital audio file of the generated lullaby.

[0156] Output: The music file sent to your device.

[0157] Step 4:

[0158] The device plays a lullaby.

[0159] Specifically, the device decodes the received music file and plays it through the speaker, while the user controls and monitors the playback using a smartphone or tablet.

[0160] Input: Digital audio file sent from the server.

[0161] Output: Music played through the speakers.

[0162] Data processing: Decode and play music files.

[0163] Step 5:

[0164] The device monitors the baby's condition.

[0165] Specifically, a high-resolution camera captures the baby's movements in real time and temporarily stores the video data.

[0166] Input: Video data acquired through a camera.

[0167] Output: Temporarily stored video data.

[0168] Step 6:

[0169] The device transmits the monitoring data to the server.

[0170] Specifically, the device compresses the captured video data and other sensor data and transmits it to a server via a network.

[0171] Input: Video data, sensor data.

[0172] Output: Data packets sent to the server.

[0173] Step 7:

[0174] The server analyzes the data and determines the baby's sleep state.

[0175] Specifically, the server analyzes the received data and determines whether the baby has fallen asleep, using a machine learning algorithm.

[0176] Input: Video data and sensor data sent from the device.

[0177] Output: Sleep state analysis results.

[0178] Data processing: Analyzing data using machine learning algorithms.

[0179] Step 8:

[0180] The server sends control instructions to the terminal.

[0181] Specifically, based on the sleep state assessment results, the server sends instructions to the device, such as stopping music playback or adjusting the temperature of the stuffed toy.

[0182] Input: Sleep state analysis results.

[0183] Output: Control instructions sent to the terminal.

[0184] Step 9:

[0185] The terminal executes the control instruction.

[0186] Specifically, the device follows the control instructions received from the server to stop music playback and adjust the heater of the stuffed toy.

[0187] Input: Control instructions from the server.

[0188] Output: Stops music and adjusts the temperature of the plush toy.

[0189] (Application example 1)

[0190] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0191] In modern homes, effectively promoting a baby's sleep requires a lot of effort and time. Parents have to constantly monitor their baby's condition and manually adjust the appropriate music and temperature, placing a heavy burden on parents. Furthermore, there is a lack of customized sleep promotion strategies tailored to each baby's individual circumstances, and a one-size-fits-all approach prevents babies from getting a good night's sleep.

[0192] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0193] In this invention, the server includes a music generation means for promoting sleep of the baby, a music playback means for playing music generated by the music generation means, a monitoring means for monitoring the baby's condition related to the music playback means, a transmission means for transmitting data generated based on the baby's condition to a remote server, a control means for controlling the music playback means and the temperature adjustment means of the stuffed animal based on data received from the remote server, a temperature adjustment means for adjusting the temperature of the stuffed animal, a means for maintaining the temperature adjusted by the temperature adjustment means, a generative AI model for generating customized lullabies based on baby information input by a user, and a smartphone application for controlling music playback, monitoring, data processing, and temperature adjustment. This allows the system to automatically take optimal measures according to the baby's individual condition, reducing the burden on parents and promoting comfortable sleep for the baby.

[0194] The "music generation means" is a technology that generates the optimal lullaby according to the individual situation of the baby.

[0195] "Music playback means" refers to a technique for playing back the generated lullaby via a speaker or the like.

[0196] "Monitoring means" refers to technology that monitors the baby's condition in real time and collects data.

[0197] "Transmission means" refers to the technology used to transmit collected data to a remote server.

[0198] The "control means" is a technology that controls the music playback means and temperature adjustment means based on data received from the server.

[0199] "Temperature adjustment means" refers to technology that adjusts the temperature of the stuffed animal to a temperature suitable for the baby.

[0200] "Means for maintaining temperature" refers to technology for maintaining a temperature that has been adjusted for a certain period of time.

[0201] A "generative AI model" is an artificial intelligence algorithm that generates customized lullabies based on information about the baby entered by the user.

[0202] "Smartphone application" refers to smartphone software that has the functions of music playback, monitoring, data processing, and temperature control and that can be operated by the user.

[0203] The present invention is a system for effectively promoting a baby's sleep, and includes a music generating means, a music playing means, a monitoring means, a transmitting means, a control means, a temperature adjusting means, and a smartphone application. These elements work together to optimize the baby's sleep environment.

[0204] Overall system configuration

[0205] The system consists of the following main elements:

[0206] 1. Music Generation Means:

[0207] The server generates lullabies tailored to each baby's individual needs based on user input. Specifically, it uses a generative AI model to build optimal melodies and rhythms, taking into account the baby's age, past sleep patterns, and current time of day. This music is then generated as a digital audio file and sent to the device.

[0208] 2. Music playback method:

[0209] The device plays the lullaby sent from the server. The music playback means plays music near the baby through a speaker to promote sleep. The user can start playback and monitor the sound using a smartphone or tablet.

[0210] 3. Monitoring measures:

[0211] The device is equipped with a camera that captures the baby's condition in real time. The camera has high resolution and can capture the baby's movements in detail. This video data is used to accurately understand the baby's condition.

[0212] 4. Means of transmission:

[0213] The captured video data and other sensor data are transmitted from the device to a server. The transmission means has a function of reliably delivering the data to the server using a network connection.

[0214] 5. Control measures:

[0215] The server analyzes the data and determines the baby's sleep state. Based on the analysis results, it sends commands to the device. For example, if it determines that the baby has fallen asleep, it stops playing music and instructs the device to adjust the temperature of the stuffed toy.

[0216] 6. Temperature adjustment means:

[0217] The terminal adjusts the temperature of the stuffed toy based on instructions from the server. The stuffed toy has an internal heater that keeps it at body temperature (approximately 36.5°C) to give the baby a sense of comfort. The temperature adjustment means uses a sensor to maintain the temperature within a certain range.

[0218] 7. Smartphone applications:

[0219] An application for controlling music playback, monitoring, data processing, and temperature adjustment is installed on a smartphone, through which the user can input the baby's information and operate and monitor the entire system.

[0220] Specific examples

[0221] Example of putting a child to bed at 7pm:

[0222] The user opens the app on their smartphone and enters information about their baby (such as the time they started putting their baby to sleep and their recent sleep patterns).

[0223] Based on the information acquired by the server, a new lullaby is generated and sent to the terminal.

[0224] The device plays music, monitors the baby via a camera, and regulates the temperature of the stuffed toy.

[0225] The device sends data to a server in real time, which then analyzes it to determine the baby's sleep state. When it determines that the baby has fallen asleep, it stops playing music and heating the stuffed toy.

[0226] Nap time example:

[0227] The user launches the app at noon and inputs that it's time for a nap.

[0228] The server generates a new lullaby based on past nap data and sends it to the device.

[0229] The device plays music, the camera monitors the baby, and the stuffed toy's temperature is adjusted accordingly.

[0230] The device sends the acquired data to a server, which analyzes it. If the server determines that the baby has fallen asleep, it stops playing music and adjusting the temperature of the stuffed toy.

[0231] Prompt Sentence Examples

[0232] "Please tell us the specific specifications of the baby care system app. We would like to provide prompts for the application, including functions aimed at promoting baby sleep (music generation, monitoring, real-time data processing, temperature control, etc.)."

[0233] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0234] Step 1:

[0235] The user opens the app on their smartphone and enters information about their baby (time to start putting them to sleep, recent sleep patterns, age, etc.), which allows the application to collect basic information about the baby.

[0236] Input: Baby's age, sleep patterns, current time of day, etc.

[0237] Output: Request data created based on user input information.

[0238] Specific behavior: The application displays an information entry screen through the user interface, and the user enters the information.

[0239] Step 2:

[0240] The server receives the baby information sent by the user and uses a generative AI model to generate the optimal lullaby.

[0241] Input: User-entered information.

[0242] Output: A digital audio file of your customized lullaby.

[0243] What it does: The server uses the generative AI model to run an algorithm that generates a lullaby based on information like the baby's age, past sleep patterns, and time of day.

[0244] Step 3:

[0245] The server transmits the generated digital audio file of the lullaby to the terminal.

[0246] Input: A digital audio file of a customized lullaby.

[0247] Output: The lullaby file sent to the device.

[0248] Specific operation: The server sends a data file to the terminal via the network.

[0249] Step 4:

[0250] The device receives the lullaby and plays it through a speaker, while simultaneously monitoring the baby's movements using a camera installed on the device.

[0251] Input: Received digital audio file of lullaby and video data of baby.

[0252] Output: Played lullaby and collected video data.

[0253] What happens: The device launches a music playback application and uses the camera to capture real-time footage of the baby.

[0254] Step 5:

[0255] The device sends the collected video data and other sensor data to a server.

[0256] Input: Baby video and sensor data.

[0257] Output: Video and sensor data sent to the server.

[0258] Specific operation: The device sends data to the server via the network.

[0259] Step 6:

[0260] The server analyzes the transmitted data and determines whether the baby has fallen asleep.

[0261] Input: Collected video and sensor data.

[0262] Output: Baby's sleep state judgment result.

[0263] How it works: The server runs a data analysis algorithm to detect the baby's movements, vibrations, etc. to assess their sleep state.

[0264] Step 7:

[0265] When the server determines that the baby has fallen asleep, it sends an instruction to the terminal to stop the music playing means and the stuffed toy temperature adjusting means.

[0266] Input: Baby's sleep state judgment results.

[0267] Output: Instructions to stop music playback and temperature adjustment.

[0268] Specific operation: The server sends a signal to the device to terminate the music playback application and a signal to stop the temperature control system.

[0269] Step 8:

[0270] The device receives instructions from the server, stops the music playback, and adjusts the temperature of the stuffed animal to keep it at an appropriate level.

[0271] Input: Stop signal from the server.

[0272] Output: Stopped music playback and adjusted plush toy temperature.

[0273] Specific behavior: The device stops music playback applications and stops or adjusts the temperature control system.

[0274] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0275] The present invention is a system for effectively promoting sleep in babies, and in particular incorporates an emotion engine that recognizes the user's emotions and adjusts the system's operation based on those emotions. The specific configuration and operation of the system are described below.

[0276] Overall system configuration

[0277] The system includes a music generating means, a music playing means, a monitoring means, a transmitting means, a control means, a temperature adjusting means, and an emotion engine, which work together to optimize the baby's sleep environment and take into account the parent's emotions.

[0278] Music Generation Means

[0279] The server generates lullabies tailored to each baby's individual needs based on user input, using algorithms to construct melodies and rhythms that take into account factors such as the baby's age, past sleep patterns, and the current time of day. The generated music is then created as a digital audio file and sent to the device.

[0280] Music playback means

[0281] The device plays lullabies sent from the server. The playback is performed using the built-in speaker or an external speaker, and the music is played near the baby to promote sleep. The user can start playback and monitor the music using a smartphone or tablet.

[0282] monitoring means

[0283] The camera installed on the device captures images of the baby and sends the video data to a server in real time. The high-resolution camera can detect the baby's movements in detail. This data is used to accurately understand the baby's condition.

[0284] Transmission method

[0285] Captured video data and other sensor data are transmitted from the device to a server over a network connection, where the data is analyzed.

[0286] Control means

[0287] The server analyzes the data and determines the baby's sleep state. Based on the analysis results, it sends commands to the device. For example, if it determines that the baby has fallen asleep, it will issue an instruction to stop music playback and temperature adjustment.

[0288] Temperature adjustment means

[0289] The terminal adjusts the temperature of the stuffed toy based on instructions from the server. The stuffed toy has an internal heater and thermostat that maintains the set temperature at human skin temperature (approximately 36.5°C).

[0290] Emotion Engine

[0291] The server is equipped with an emotion engine for recognizing the user's emotions. Specifically, the emotion engine detects emotions by analyzing the user's voice tone, facial expressions, keyboard input, etc. Based on this emotion data, the parameters of the music generation means and temperature control means are dynamically changed.

[0292] Specific examples

[0293] Example of putting a child to bed at 7pm:

[0294] The user opens the app and enters information about their baby (such as the time they started putting their baby to sleep and their recent sleep patterns).

[0295] Based on the information acquired by the server, a new lullaby is generated and sent to the terminal.

[0296] The device plays music, monitors the baby via a camera, and regulates the temperature of the stuffed toy.

[0297] The emotion engine analyzes the user's emotions, and if stress is detected, the system switches to music with a more relaxing effect.

[0298] The device sends data to a server in real time, which then analyzes it to determine the baby's sleep state. When it determines that the baby has fallen asleep, it stops playing music and heating the stuffed toy.

[0299] Nap time example:

[0300] The user launches the app at noon and inputs that it's time for a nap.

[0301] The server uses past nap data to generate new lullabies and sends them to the device.

[0302] The device plays music, the camera monitors the baby, and the stuffed toy's temperature is adjusted accordingly.

[0303] The emotion engine analyzes the user's emotions and, if the sense of security is lacking, sets the temperature of the stuffed toy slightly higher.

[0304] The device sends the acquired data to a server, which analyzes it. If the server determines that the baby has fallen asleep, it stops playing music and adjusting the temperature of the stuffed toy.

[0305] As described above, the present invention is a system that automatically takes appropriate action according to the baby's condition and the user's emotions, thereby significantly reducing the burden on parents and supporting comfortable sleep for babies.

[0306] The processing flow will be explained below.

[0307] Step 1:

[0308] The user launches a dedicated app on their smartphone or tablet and enters information about their baby (age, recent sleep patterns, current time of day, etc.).

[0309] Step 2:

[0310] The device sends the entered information to a server using an internet connection.

[0311] Step 3:

[0312] The server analyzes the received information and generates the optimal lullaby to promote sleep using an algorithm that takes into account the baby's age, past sleep data, and the current time of day.

[0313] Step 4:

[0314] The server creates a music file based on the generated lullaby and sends the file to the terminal.

[0315] Step 5:

[0316] The device will play the music file it has received using either the built-in speaker or an external speaker.

[0317] Step 6:

[0318] The user places the stuffed toy near the baby, and the emotion engine sets the temperature of the stuffed toy based on the user's emotion data analyzed.

[0319] Step 7:

[0320] The device adjusts the temperature of the stuffed animal to the set body temperature. The stuffed animal is equipped with an internal heater and thermostat to maintain the set temperature (approximately 36.5°C).

[0321] Step 8:

[0322] A camera attached to the device captures images of the baby and transmits the images to a server in real time.

[0323] Step 9:

[0324] The server analyzes the video data and determines the baby's sleep state using image processing technology and machine learning algorithms.

[0325] Step 10:

[0326] When the server determines that the baby has fallen asleep, it immediately notifies the device, which includes instructions to stop music playback and to stop adjusting the temperature of the stuffed toy.

[0327] Step 11:

[0328] The device will stop playing music and stop adjusting the temperature of the plush toy. The heater on the plush toy will turn off and the temperature will return to normal.

[0329] Step 12:

[0330] The server notifies the user that the baby has fallen asleep, either via a push notification in the app, SMS, or email.

[0331] Step 13:

[0332] The emotion engine continuously analyzes the user's emotions and adjusts the system accordingly. For example, if the user is feeling stressed, the system may switch to more relaxing music or change the temperature of the stuffed toy.

[0333] These are the specific processing steps of the system, which automatically provides a comfortable sleeping environment for babies and reduces the burden on parents.

[0334] Example 2

[0335] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0336] Optimizing a baby's sleep environment and reducing the burden on parents are important challenges. Conventional systems have difficulty monitoring a baby's condition in real time and adjusting the appropriate music and temperature. Furthermore, systems do not adjust to take parents' emotions into account, resulting in insufficient effectiveness in reducing parental stress. To solve these challenges, a system is needed that can accurately monitor a baby's condition and take appropriate measures in a timely manner.

[0337] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a music generating means, a music playing means, a monitoring means, a transmitting means, a control means, a temperature adjusting means, and an emotion analyzing means. This enables automatic system adjustment based on the baby's condition and the parent's emotion.

[0338] The "music generating means" is a mechanism that generates music to promote sleep in babies.

[0339] The "music playback means" is a mechanism for playing back the generated music.

[0340] A "monitoring means" is a mechanism for monitoring the baby's condition and collecting that data.

[0341] The "transmission means" is a mechanism for transmitting data collected by the monitoring means to a remote computer.

[0342] The "control means" is a mechanism that controls the music playing means and the temperature adjusting means based on data received from a remote computer.

[0343] "Temperature adjustment means" is a mechanism for adjusting the temperature of the stuffed toy.

[0344] The "means for maintaining the temperature" is a mechanism for maintaining the temperature adjusted by the temperature adjustment means constant.

[0345] The "emotion analysis means" is a mechanism that analyzes the user's emotions and dynamically adjusts the system based on the analysis.

[0346] The present invention is a system for effectively promoting sleep in babies. In particular, it incorporates an emotion engine that recognizes the user's emotions and adjusts the system's operation based on those emotions. The specific configuration and operation of this system are described below.

[0347] System configuration

[0348] The system includes the following elements:

[0349] 1. Music Generation Means:

[0350] The server generates lullabies suited to each baby's individual situation based on user input. The software used for music generation is a Python machine learning library (e.g., TENSORFLOW®) and a digital audio workstation (e.g., Ableton Live).

[0351] Example: If you enter "put the baby to bed at 7pm", the server will generate an appropriate lullaby based on this information.

[0352] Example prompt: "Generate a soothing lullaby to lull my baby to sleep."

[0353] 2. Music playback method:

[0354] The device plays the lullaby sent from the server. It can use the built-in speaker or an external speaker (e.g., Sonos speaker). The user starts playback on their smartphone or tablet.

[0355] Example: A lullaby sent from the server arrives at the device, and when the user presses the play button, the music is played from the speaker.

[0356] Example prompt: "Play the lullaby I sent you."

[0357] 3. Monitoring measures:

[0358] A camera (e.g., Logitech C920) installed on the device captures images of the baby and sends the image data to a server in real time. Using a high-resolution camera makes it possible to detect detailed movements.

[0359] Example: A smartphone camera captures a baby's movements and sends the data to a server.

[0360] Example prompt: "Please monitor the baby on camera."

[0361] 4. Means of transmission:

[0362] The device uses Wi-Fi or mobile networks to transmit captured video data and other sensor data to a server.

[0363] Example: Video data acquired by the device is sent to a server via Wi-Fi and used for analysis.

[0364] Example prompt: "Please send the collected data to the server."

[0365] 5. Control measures:

[0366] The server analyzes the received data and determines the baby's sleep state. It uses a machine learning model (e.g., TensorFlow) for the analysis. Based on the analysis results, it sends commands to the device.

[0367] Example: The server analyzes the baby's movements and, if it determines that the baby has fallen asleep, sends a command to the device to stop playing music.

[0368] Example prompt: "Please analyze whether the baby has fallen asleep and give instructions."

[0369] 6. Emotion analysis means:

[0370] The server is equipped with an emotion engine that analyzes the user's voice tone, facial expressions, and keyboard input to recognize emotions. Specifically, the emotion engine uses an emotion analysis API (e.g., Microsoft® Azure® Emotion API).

[0371] Example: If the system detects that the user is feeling stressed, it will change the music to something more relaxing.

[0372] Sample prompt: "Analyze user sentiment and adjust system settings."

[0373] 7. Temperature adjustment means:

[0374] Based on instructions from the server, the terminal controls the heater and thermostat inside the stuffed animal to adjust the temperature to that of human skin (approximately 36.5°C).

[0375] Example: If the server determines that the baby has fallen asleep, the device will turn off the heater on the stuffed toy.

[0376] Example prompt: "Please set the temperature of the stuffed toy."

[0377] Examples of concrete examples and prompts

[0378] Specific examples of putting children to sleep

[0379] 1. Putting the kids to bed at 7pm

[0380] The user opens the app and enters their baby's information (sleep start time: 7pm, recent sleep patterns).

[0381] The device transmits this information to the server in real time.

[0382] The server generates an appropriate lullaby based on the baby's information.

[0383] The server sends the generated lullaby to the terminal.

[0384] The device plays lullabies and monitors the baby using a camera.

[0385] The device transmits camera images to the server in real time.

[0386] The server analyzes the video data and determines the baby's sleep state.

[0387] The server uses an emotion engine to analyze the user's emotions and adjusts the system settings as needed.

[0388] When the server determines that the baby has fallen asleep, it sends a command to the device to stop playing music and heating the stuffed toy.

[0389] The device will stop playing music and adjusting the temperature.

[0390] Specific examples of naps

[0391] 1. Nap Time

[0392] The user launches the app and enters the time of their nap.

[0393] The device transmits this information to the server in real time.

[0394] The server generates a lullaby based on past data.

[0395] The server sends the generated lullaby to the terminal.

[0396] The device plays lullabies and a camera monitors the baby.

[0397] The device transmits the images captured by the camera to the server in real time.

[0398] The server analyzes the video data and determines the baby's sleep state.

[0399] The server uses an emotion engine to analyze the user's emotions and adjusts the system settings as needed.

[0400] When the server determines that the baby has fallen asleep, it sends a command to the device to stop playing music and heating the stuffed toy.

[0401] The device will stop playing music and adjusting the temperature.

[0402] As described above, the present invention is a system that automatically takes appropriate action according to the baby's condition and the user's emotions, thereby significantly reducing the burden on parents and supporting comfortable sleep for babies.

[0403] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0404] Step 1:

[0405] The user opens the app on their smartphone and enters the baby's information.

[0406] Input: Bedtime start time, recent sleep patterns, etc.

[0407] Specific action: "To put my child to bed at 7pm, I will enter the start time of bedtime and recent sleep patterns."

[0408] Output: Input information data.

[0409] Step 2:

[0410] The terminal transmits the information entered by the user to the server via the network.

[0411] Input: Information data entered by the user.

[0412] Specific operation: "The input information is sent to the server in real time via Wi-Fi."

[0413] Output: Information sent to the server.

[0414] Step 3:

[0415] The server receives the information sent by the user and generates a lullaby based on that information using a generative AI model.

[0416] Input: Information sent to the server.

[0417] Data processing: Using Python machine learning libraries (e.g., TensorFlow), melodies and rhythms are generated using models trained on the baby data.

[0418] Specific Action: "Generate a lullaby suitable for putting a child to bed at 7pm."

[0419] Output: Generated lullaby digital audio file.

[0420] Step 4:

[0421] The server creates the generated lullaby as an audio file and sends it to the device.

[0422] Input: Generated lullaby digital audio file.

[0423] Specific action: "Send the generated lullaby to the device."

[0424] Output: The digital audio file sent to your device.

[0425] Step 5:

[0426] The device receives the lullaby sent from the server and plays it on the smartphone or tablet's built-in speaker or an external speaker.

[0427] Input: Digital audio file sent from the server.

[0428] Specific behavior: "When the user presses the play button, music plays through the speaker."

[0429] Output: Lullaby played over speaker.

[0430] Step 6:

[0431] A camera installed on the device captures video of the baby and sends this video data to a server in real time.

[0432] Input: Video data captured by the camera.

[0433] Specific operation: "Take detailed pictures of the baby's movements with a camera and send the data to a server."

[0434] Output: Video data sent to the server.

[0435] Step 7:

[0436] The server analyzes the received video and sensor data to determine the baby's sleep state.

[0437] Input: Video and sensor data sent to the server.

[0438] Data Computing: Using machine learning models (e.g. TensorFlow) to analyze baby movement patterns.

[0439] Specific operation: "Analyze video data and determine the baby's sleep state."

[0440] Output: Sleep state analysis results.

[0441] Step 8:

[0442] The server uses an emotion engine to analyze the user's emotions and recognize the user's tone of voice, facial expressions, and keyboard input.

[0443] Input: User's voice tone, facial expressions, and keyboard input data.

[0444] Data calculation: Recognize user emotions using emotion analysis APIs (e.g., Microsoft Azure Emotion API).

[0445] Specific behavior: "Analyze user sentiment and adjust system settings as needed."

[0446] Output: Emotion analysis results.

[0447] Step 9:

[0448] If the server determines that the baby has fallen asleep, it sends a command to the device to stop playing music and to stop adjusting the temperature of the stuffed toy.

[0449] Input: Sleep state analysis results.

[0450] Specific behavior: "When it determines that the baby has fallen asleep, it sends a command to the device to stop playing music."

[0451] Output: Control instructions sent to the terminal.

[0452] Step 10:

[0453] The device receives a stop command from the server and stops playing music and adjusting the temperature of the stuffed animal.

[0454] Input: Control command sent from the server.

[0455] Action: "Stop music playback and thermostat adjustment."

[0456] Output: Stopped music playback and temperature adjustment.

[0457] (Application example 2)

[0458] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0459] Existing systems for promoting baby sleep have the ability to monitor the baby's condition and adjust music and environmental settings, but there are no systems that take into account the emotional state of parents and workers. Such a system would reduce stress not only for the baby but also for the parents and workers working in the environment, improving overall work efficiency and quality of life. Furthermore, there is a need for an improved user experience by providing appropriate suggestions based on emotions.

[0460] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0461] In this invention, the server includes a music generating means, a music playing means, a monitoring means, a transmitting means, a control means, a temperature adjusting means, an emotion recognizing means, and a suggesting means, which not only promotes the baby's sleep but also makes it possible to recognize the emotional state of the operator in real time and set the environment and make suggestions according to that emotion.

[0462] The "music generating means" is a means for generating music according to the individual situation and state of the baby in order to promote the baby's sleep.

[0463] The "music reproducing means" is a means for reproducing the music generated by the music generating means.

[0464] The "monitoring means" is a means for monitoring the state of the baby in relation to the music playing means and collecting necessary data.

[0465] The "transmission means" is a means for transmitting data generated based on the baby's condition to a remote server.

[0466] The "control means" is a means for controlling the music playback means and the temperature adjustment means based on data received from a remote server.

[0467] "Temperature adjustment means" is a means for adjusting the temperature of the stuffed animal.

[0468] The "emotion recognition means" is a means for recognizing the emotions of workers and parents in real time and analyzing them as data.

[0469] The "suggestion means" is a means for analyzing the emotion data acquired by the emotion recognition means and proposing the most suitable actions and environmental settings to the worker or parent as necessary.

[0470] "Baby status" refers to the baby's physical and physiological state, such as whether they are awake or asleep.

[0471] "Emotional state" refers to the worker's or parent's current feelings, such as mental state, such as stress, fatigue, happiness, etc.

[0472] This invention provides a system for promoting sleep in babies, recognizing the emotional state of workers and parents in real time, and suggesting optimal environments. The system components include a music generation unit, a music playback unit, a monitoring unit, a transmission unit, a control unit, a temperature adjustment unit, an emotion recognition unit, and a suggestion unit.

[0473] Specifically, the server uses a music generator to generate music to promote sleep for the baby. This music is customized based on the baby's individual situation and constructed as a digital audio file. The music is generated using an algorithm that takes into account the baby's age, past sleep patterns, the current time of day, etc.

[0474] The generated music file is sent to the device and played by the music player. The built-in speaker or an external speaker can be used to play the music near the baby, with the aim of promoting sleep. The user can start playback and monitor the baby using a smartphone or tablet.

[0475] As a monitoring method, a camera installed on the device captures images of the baby, and this video data is sent to a server in real time. The high-resolution camera can detect the baby's movements in detail, and the video data is used to accurately grasp the baby's condition.

[0476] This video data and other sensor data are sent to a server via a transmission means. The server analyzes the data and determines the baby's sleep state and environmental conditions. Based on the analysis results, the control means issues instructions to the music player and temperature control means. For example, if it determines that the baby has fallen asleep, it sends a command to stop music playback and temperature control.

[0477] The emotion recognition means is a means for recognizing the user's emotions in real time. It detects the user's emotions by analyzing voice tone, facial expressions, keyboard input, etc., and dynamically changes the parameters of the music generation means and temperature control means based on that data. This allows the system's operation to be optimized according to the user's emotional state.

[0478] A concrete example of the system's behavior based on emotion data is that if a worker is feeling stressed, it will automatically suggest taking a break and adjust the temperature of the work environment. The following prompt sentences are used as examples of inputs to the generative AI model:

[0479] Worker Emotion Recognition Results: Stress

[0480] Suggestion: Suggest breaks and lower the temperature in the factory by 2 degrees.

[0481] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0482] Step 1:

[0483] The user launches the application

[0484] The user opens the application on a device such as a smartphone or tablet. They input information about their baby (such as age, recent sleep patterns, and desired time for putting the baby to sleep). The input data is saved on the device and used as the basis for generating music. Specifically, the information entered by the user is recorded in the device's local database, and an initialization process is performed.

[0485] Step 2:

[0486] The server generates the music

[0487] The device transmits the baby's stored information to the server via a transmission means. The server then uses a music generation means to generate music suited to the baby's individual situation. Here, an algorithm analyzes past data, time of day, etc. to create the optimal melody and rhythm. The generated music is then compiled into a digital audio file, which is then sent back to the device.

[0488] Step 3:

[0489] The device plays music

[0490] The digital audio file sent to the device is played using the music playback means. The sound is output through the speaker (built-in or external) set by the user, and the lullaby plays near the baby. During playback, real-time monitoring is performed, allowing the user to check the playback status via the device. Specifically, the music playback software analyzes the audio file and outputs it to the speaker.

[0491] Step 4:

[0492] Monitoring the baby's condition through monitoring means

[0493] A camera installed on the terminal captures video of the baby. The captured video data is sent to the server via a transmission means. Other sensors (for example, temperature sensors and motion sensors) also acquire data on the baby's condition in real time and send it in the same way. The input is video data and sensor data, and the output is data sent to the server.

[0494] Step 5:

[0495] Server-based data analysis and control

[0496] The transmitted video data and sensor data are analyzed to determine the baby's condition. For example, the analysis engine determines whether the baby has fallen asleep, and based on that result, it issues instructions to the device through the control means. These instructions include stopping music playback and adjusting the temperature. The analysis algorithm processes the data and generates control commands.

[0497] Step 6:

[0498] Emotion analysis of users using emotion recognition methods

[0499] Data such as voice tone, facial expressions, and keyboard input is analyzed by the emotion recognition means to determine the user's emotional state. The emotion data is sent to a server, and parameters for the music generation means and temperature control means are dynamically changed based on the analysis. For example, if the user is feeling stressed, music can be switched to one with a more relaxing effect. The input is the user's emotion data, and the output is the analysis result.

[0500] Step 7:

[0501] Proposal to the user through suggestion means

[0502] Based on the analyzed emotional data, the system will suggest optimal actions and environmental settings to the user as needed. For example, if stress levels are high, the system will suggest taking a break and prompt the user to adjust their work environment. Specific prompts will also be generated and notified to the user. This response reduces the user's stress and maintains an efficient environment. The input is the result of analyzing the emotional data, and the output is suggestions to the user.

[0503] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0504] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0505] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0506] [Second embodiment]

[0507] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0508] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0509] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0510] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0511] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0512] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0513] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0514] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0515] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0516] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0517] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0518] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0519] The present invention is a system for effectively promoting sleep in babies, and is configured as follows.

[0520] Overall system configuration

[0521] The system includes a music generating means, a music playing means, a monitoring means, a transmitting means, a control means, a temperature adjusting means, and a stuffed toy, which work together to optimize the baby's sleeping environment.

[0522] Music Generation Means

[0523] The server generates lullabies tailored to each baby's individual needs based on user input. Specifically, it uses algorithms to create optimal melodies and rhythms based on information such as the baby's age, past sleep patterns, and the current time of day. The music is then generated as a digital audio file and sent to the device.

[0524] Music playback means

[0525] The device plays the lullaby sent from the server. The music playback means plays music near the baby through a speaker to promote sleep. The user can start playback and monitor the sound using a smartphone or tablet.

[0526] monitoring means

[0527] The device is equipped with a camera that captures the baby's condition in real time. The camera has high resolution and can capture the baby's movements in detail. This video data is used to accurately understand the baby's condition.

[0528] Transmission method

[0529] The captured video data and other sensor data are transmitted from the device to a server. The transmission means has a function of reliably delivering the data to the server using a network connection.

[0530] Control means

[0531] The server analyzes the data and determines the baby's sleep state. Based on the analysis results, it sends commands to the device. For example, if it determines that the baby has fallen asleep, it stops playing music and instructs the device to adjust the temperature of the stuffed toy.

[0532] Temperature adjustment means

[0533] The terminal adjusts the temperature of the stuffed toy based on instructions from the server. The stuffed toy has an internal heater that keeps it at body temperature (approximately 36.5°C) to give the baby a sense of comfort. The temperature adjustment means uses a sensor to maintain the temperature within a certain range.

[0534] Specific examples

[0535] Example of putting a child to bed at 7pm:

[0536] The user opens the app on their smartphone and enters information about their baby (such as the time they started putting their baby to sleep and their recent sleep patterns).

[0537] Based on the information acquired by the server, a new lullaby is generated and sent to the terminal.

[0538] The device plays music, monitors the baby via a camera, and regulates the temperature of the stuffed toy.

[0539] The device sends data to a server in real time, which then analyzes it to determine the baby's sleep state. When it determines that the baby has fallen asleep, it stops playing music and heating the stuffed toy.

[0540] Nap time example:

[0541] The user launches the app at noon and inputs that it's time for a nap.

[0542] The server generates a new lullaby based on past nap data and sends it to the device.

[0543] The device plays music, the camera monitors the baby, and the stuffed toy's temperature is adjusted accordingly.

[0544] The device sends the acquired data to a server, which analyzes it. If the server determines that the baby has fallen asleep, it stops playing music and adjusting the temperature of the stuffed toy.

[0545] As described above, the present invention is a system that automatically takes appropriate action according to the baby's condition, greatly reducing the burden on parents and supporting comfortable sleep for babies.

[0546] The processing flow will be explained below.

[0547] Step 1:

[0548] The user launches a dedicated app on their smartphone or tablet and enters information about their baby (age, recent sleep patterns, current time of day, etc.).

[0549] Step 2:

[0550] The device sends the entered information to a server using an internet connection.

[0551] Step 3:

[0552] The server analyzes the received information and generates the optimal lullaby to promote sleep for the baby, using an algorithm that takes into account the baby's age, past sleep data, and the current time of day.

[0553] Step 4:

[0554] The server creates a digital audio file of the generated lullaby and transmits the file to the terminal.

[0555] Step 5:

[0556] Plays audio files received by the device, either through the built-in speaker or an external speaker.

[0557] Step 6:

[0558] The user places the stuffed toy near the baby and receives instructions from the device to turn on the stuffed toy and set it to body temperature.

[0559] Step 7:

[0560] The device adjusts the temperature of the stuffed animal to human skin temperature, and the stuffed animal has a built-in heater and thermostat to maintain a set temperature of 36.5°C.

[0561] Step 8:

[0562] A camera installed in the device captures video of the baby and sends the video data to a server in real time, recording in detail the baby's movements, eye opening and closing, breathing rhythm, and more.

[0563] Step 9:

[0564] The server analyzes the received video data and determines the baby's sleep state using image processing technology and machine learning algorithms.

[0565] Step 10:

[0566] When the server determines that the baby has fallen asleep, it immediately notifies the device, which includes instructions to stop music playback and to stop adjusting the temperature of the stuffed toy.

[0567] Step 11:

[0568] The device will stop playing music and stop adjusting the plush toy's temperature. The plush toy's heater will turn off and the temperature will return to normal.

[0569] Step 12:

[0570] The server notifies the user that the baby has fallen asleep via push notification, SMS, or email.

[0571] The above are the specific processing steps of the system, which automatically provide a comfortable sleeping environment for the baby.

[0572] Example 1

[0573] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0574] While there are many ways to promote baby sleep, managing a baby's sleep can be a significant burden for today's busy parents. Manual tasks such as selecting and playing effective lullabies and monitoring the baby's condition can be time-consuming and labor-intensive. Therefore, there is a need for an automated system that helps parents optimize their baby's sleep environment and ensure comfortable sleep.

[0575] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0576] In this invention, the server includes a music generating means for generating a lullaby based on information about the baby provided by the user, a control means for analyzing data sent to the remote server and determining the baby's sleeping state, and a temperature adjusting means for adjusting the temperature of the stuffed toy based on the baby's state. This reduces the burden on the user and enables a system that automatically supports a comfortable sleep for the baby.

[0577] "User" refers to the parent or guardian who uses the system and enters information about their baby.

[0578] "Baby" refers to children whose sleep environment is being optimized.

[0579] "Information" refers to data including the baby's age, past sleep patterns, current time of day, etc.

[0580] "Music generation means" refers to the function that uses AI to generate lullabies based on information provided by the user.

[0581] "Lullaby" refers to music in audio file format that promotes sleep in babies.

[0582] "Music playback means" refers to a device that plays the generated lullaby through a speaker or the like.

[0583] "Terminal" refers to a device, such as a smartphone or tablet, that is equipped with means for operating and monitoring music playback means.

[0584] "Camera" refers to an image capture device that captures the baby's condition in real time.

[0585] "Monitoring means" refers to the function of monitoring the baby's condition in real time using a camera.

[0586] The "transmission means" refers to a function for transmitting data acquired by the monitoring means to a remote server.

[0587] "Server" refers to a central management device that manages the entire system and performs data analysis and control instructions.

[0588] "Control means" refers to a function that controls the music playback means and the temperature adjustment means based on data received from the server.

[0589] "Temperature adjustment means" refers to the function of adjusting the temperature of the stuffed animal according to the baby's condition.

[0590] A "stuffed toy" is an item that has a built-in heater inside to give babies a sense of security.

[0591] "Data" refers to information including the baby's condition and sleep status.

[0592] "Analysis" refers to the process by which the server determines the baby's sleep state based on the data sent.

[0593] This invention is a system for effectively promoting a baby's sleep. The system includes a music generating means, a music playing means, a monitoring means, a transmitting means, a control means, a temperature adjusting means, and a stuffed toy. These elements work together to optimize the baby's sleep environment.

[0594] Music Generation Means

[0595] The server receives information about the baby provided by the user, such as age, past sleep patterns, and current time of day. Using a generative AI model on the server, it generates a lullaby tailored to the baby's needs. The generated music file is saved in digital audio format.

[0596] Specific examples:

[0597] Once the user inputs information such as the baby's age (6 months), recent sleep patterns (3 wake-ups between 7pm and 7am), and the current time of day (7pm), the server uses a generative AI model to construct a soothing lullaby melody.

[0598] Music playback means

[0599] The device receives lullabies sent from the server, decodes the received music files, and plays them near the baby through a speaker. The user can then start playback and monitor the sound using a smartphone or tablet.

[0600] monitoring means

[0601] The device is equipped with a high-resolution camera that captures the baby's movements in real time and temporarily stores the video data, which is used to closely monitor the baby's condition.

[0602] Transmission method

[0603] The device transmits the captured video data and other sensor data to the server via a network connection, compressing the data to ensure reliable transmission.

[0604] Control means

[0605] The server analyzes the received data and determines the baby's sleep state. For example, if it determines that the baby has fallen asleep, the server sends a command to the device to stop playing music. At the same time, it also sends a command to adjust the temperature of the stuffed toy.

[0606] Temperature adjustment means

[0607] The terminal adjusts the temperature of the stuffed toy based on instructions from the server. The stuffed toy is equipped with an internal heater and is kept at the temperature of human skin (approximately 36.5°C). The temperature adjustment means uses a sensor to maintain the temperature of the stuffed toy within a certain range.

[0608] Specific examples

[0609] Example of putting a child to bed at 7pm:

[0610] 1. The user enters information about their baby (such as the time the baby was put to sleep and recent sleep patterns) into a smartphone app.

[0611] 2. The server generates a new lullaby based on this information and sends it to the device.

[0612] 3. The device will play music, monitor your baby with a camera, and adjust the temperature of the stuffed toy accordingly.

[0613] 4. The device sends the data to the server in real time, and the server analyzes the data to determine the baby's sleep state. If it determines that the baby has fallen asleep, it stops playing music and adjusting the temperature of the stuffed toy.

[0614] Examples of naps:

[0615] 1. The user launches the app at noon and inputs that it is time for a nap.

[0616] 2. The server generates a new lullaby based on past nap data and sends it to the device.

[0617] 3. The device will play music, the camera will monitor the baby, and the temperature of the stuffed toy will be adjusted accordingly.

[0618] 4. The device sends the acquired data to the server, and when the server analyzes the data and determines that the baby has fallen asleep, it stops playing music and adjusting the temperature of the stuffed toy.

[0619] Prompt Sentence Examples

[0620] "Generate appropriate lullabies based on your baby's current age and recent sleep patterns."

[0621] "Analyze the baby's sleep state based on the video data captured by the camera and report the results."

[0622] "Once you determine your baby has fallen asleep, stop playing the lullaby and adjust the temperature of the stuffed toy appropriately."

[0623] This system significantly reduces the burden on the user and provides a series of automated processes to support comfortable sleep for babies.

[0624] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0625] Step 1:

[0626] The user enters the baby's information.

[0627] Specifically, the user launches a dedicated smartphone app and inputs information such as the baby's age, past sleep patterns, and the current time of day. The input data becomes the basis for the system to generate lullabies.

[0628] Input: Data such as baby's age, past sleep patterns, and current time of day.

[0629] Output: Baby information sent to the server.

[0630] Step 2:

[0631] The server generates the lullaby.

[0632] Specifically, the server uses a generative AI model to generate an optimal lullaby based on the received baby information, constructing melodies and rhythms based on the baby's age and sleep patterns, and saving the generated music file in digital audio format.

[0633] Input: Baby information.

[0634] Output: A digital audio file of the generated lullaby.

[0635] Data processing: Creating music data using a generative AI model.

[0636] Step 3:

[0637] The server sends the generated lullaby to the device.

[0638] Specifically, the server sends the generated music file to the device as a data packet over the Internet, and confirms that the device has received the data.

[0639] Input: A digital audio file of the generated lullaby.

[0640] Output: The music file sent to your device.

[0641] Step 4:

[0642] The device plays a lullaby.

[0643] Specifically, the device decodes the received music file and plays it through the speaker, while the user controls and monitors the playback using a smartphone or tablet.

[0644] Input: Digital audio file sent from the server.

[0645] Output: Music played through the speakers.

[0646] Data processing: Decode and play music files.

[0647] Step 5:

[0648] The device monitors the baby's condition.

[0649] Specifically, a high-resolution camera captures the baby's movements in real time and temporarily stores the video data.

[0650] Input: Video data acquired through a camera.

[0651] Output: Temporarily stored video data.

[0652] Step 6:

[0653] The device transmits the monitoring data to the server.

[0654] Specifically, the device compresses the captured video data and other sensor data and transmits it to a server via a network.

[0655] Input: Video data, sensor data.

[0656] Output: Data packets sent to the server.

[0657] Step 7:

[0658] The server analyzes the data and determines the baby's sleep state.

[0659] Specifically, the server analyzes the received data and determines whether the baby has fallen asleep, using a machine learning algorithm.

[0660] Input: Video data and sensor data sent from the device.

[0661] Output: Sleep state analysis results.

[0662] Data processing: Analyzing data using machine learning algorithms.

[0663] Step 8:

[0664] The server sends control instructions to the terminal.

[0665] Specifically, based on the sleep state assessment results, the server sends instructions to the device, such as stopping music playback or adjusting the temperature of the stuffed toy.

[0666] Input: Sleep state analysis results.

[0667] Output: Control instructions sent to the terminal.

[0668] Step 9:

[0669] The terminal executes the control instruction.

[0670] Specifically, the device follows the control instructions received from the server to stop music playback and adjust the heater of the stuffed toy.

[0671] Input: Control instructions from the server.

[0672] Output: Stops music and adjusts the temperature of the plush toy.

[0673] (Application example 1)

[0674] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0675] In modern homes, effectively promoting a baby's sleep requires a lot of effort and time. Parents have to constantly monitor their baby's condition and manually adjust the appropriate music and temperature, placing a heavy burden on parents. Furthermore, there is a lack of customized sleep promotion strategies tailored to each baby's individual circumstances, and a one-size-fits-all approach prevents babies from getting a good night's sleep.

[0676] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0677] In this invention, the server includes a music generation means for promoting sleep of the baby, a music playback means for playing music generated by the music generation means, a monitoring means for monitoring the baby's condition related to the music playback means, a transmission means for transmitting data generated based on the baby's condition to a remote server, a control means for controlling the music playback means and the temperature adjustment means of the stuffed animal based on data received from the remote server, a temperature adjustment means for adjusting the temperature of the stuffed animal, a means for maintaining the temperature adjusted by the temperature adjustment means, a generative AI model for generating customized lullabies based on baby information input by a user, and a smartphone application for controlling music playback, monitoring, data processing, and temperature adjustment. This allows the system to automatically take optimal measures according to the baby's individual condition, reducing the burden on parents and promoting comfortable sleep for the baby.

[0678] The "music generation means" is a technology that generates the optimal lullaby according to the individual situation of the baby.

[0679] "Music playback means" refers to a technique for playing back the generated lullaby via a speaker or the like.

[0680] "Monitoring means" refers to technology that monitors the baby's condition in real time and collects data.

[0681] "Transmission means" refers to the technology used to transmit collected data to a remote server.

[0682] The "control means" is a technology that controls the music playback means and temperature adjustment means based on data received from the server.

[0683] "Temperature adjustment means" refers to technology that adjusts the temperature of the stuffed animal to a temperature suitable for the baby.

[0684] "Means for maintaining temperature" refers to technology for maintaining a temperature that has been adjusted for a certain period of time.

[0685] A "generative AI model" is an artificial intelligence algorithm that generates customized lullabies based on information about the baby entered by the user.

[0686] "Smartphone application" refers to smartphone software that has the functions of music playback, monitoring, data processing, and temperature control and that can be operated by the user.

[0687] The present invention is a system for effectively promoting a baby's sleep, and includes a music generating means, a music playing means, a monitoring means, a transmitting means, a control means, a temperature adjusting means, and a smartphone application. These elements work together to optimize the baby's sleep environment.

[0688] Overall system configuration

[0689] The system consists of the following main elements:

[0690] 1. Music Generation Means:

[0691] The server generates lullabies tailored to each baby's individual needs based on user input. Specifically, it uses a generative AI model to build optimal melodies and rhythms, taking into account the baby's age, past sleep patterns, and current time of day. This music is then generated as a digital audio file and sent to the device.

[0692] 2. Music playback method:

[0693] The device plays the lullaby sent from the server. The music playback means plays music near the baby through a speaker to promote sleep. The user can start playback and monitor the sound using a smartphone or tablet.

[0694] 3. Monitoring measures:

[0695] The device is equipped with a camera that captures the baby's condition in real time. The camera has high resolution and can capture the baby's movements in detail. This video data is used to accurately understand the baby's condition.

[0696] 4. Means of transmission:

[0697] The captured video data and other sensor data are transmitted from the device to a server. The transmission means has a function of reliably delivering the data to the server using a network connection.

[0698] 5. Control measures:

[0699] The server analyzes the data and determines the baby's sleep state. Based on the analysis results, it sends commands to the device. For example, if it determines that the baby has fallen asleep, it stops playing music and instructs the device to adjust the temperature of the stuffed toy.

[0700] 6. Temperature adjustment means:

[0701] The terminal adjusts the temperature of the stuffed toy based on instructions from the server. The stuffed toy has an internal heater that keeps it at body temperature (approximately 36.5°C) to give the baby a sense of comfort. The temperature adjustment means uses a sensor to maintain the temperature within a certain range.

[0702] 7. Smartphone applications:

[0703] An application for controlling music playback, monitoring, data processing, and temperature adjustment is installed on a smartphone, through which the user can input the baby's information and operate and monitor the entire system.

[0704] Specific examples

[0705] Example of putting a child to bed at 7pm:

[0706] The user opens the app on their smartphone and enters information about their baby (such as the time they started putting their baby to sleep and their recent sleep patterns).

[0707] Based on the information acquired by the server, a new lullaby is generated and sent to the terminal.

[0708] The device plays music, monitors the baby via a camera, and regulates the temperature of the stuffed toy.

[0709] The device sends data to a server in real time, which then analyzes it to determine the baby's sleep state. When it determines that the baby has fallen asleep, it stops playing music and heating the stuffed toy.

[0710] Nap time example:

[0711] The user launches the app at noon and inputs that it's time for a nap.

[0712] The server generates a new lullaby based on past nap data and sends it to the device.

[0713] The device plays music, the camera monitors the baby, and the stuffed toy's temperature is adjusted accordingly.

[0714] The device sends the acquired data to a server, which analyzes it. If the server determines that the baby has fallen asleep, it stops playing music and adjusting the temperature of the stuffed toy.

[0715] Prompt Sentence Examples

[0716] "Please tell us the specific specifications of the baby care system app. We would like to provide prompts for the application, including functions aimed at promoting baby sleep (music generation, monitoring, real-time data processing, temperature control, etc.)."

[0717] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0718] Step 1:

[0719] The user opens the app on their smartphone and enters information about their baby (time to start putting them to sleep, recent sleep patterns, age, etc.), which allows the application to collect basic information about the baby.

[0720] Input: Baby's age, sleep patterns, current time of day, etc.

[0721] Output: Request data created based on user input information.

[0722] Specific behavior: The application displays an information entry screen through the user interface, and the user enters the information.

[0723] Step 2:

[0724] The server receives the baby information sent by the user and uses a generative AI model to generate the optimal lullaby.

[0725] Input: User-entered information.

[0726] Output: A digital audio file of your customized lullaby.

[0727] What it does: The server uses the generative AI model to run an algorithm that generates a lullaby based on information like the baby's age, past sleep patterns, and time of day.

[0728] Step 3:

[0729] The server transmits the generated digital audio file of the lullaby to the terminal.

[0730] Input: A digital audio file of a customized lullaby.

[0731] Output: The lullaby file sent to the device.

[0732] Specific operation: The server sends a data file to the terminal via the network.

[0733] Step 4:

[0734] The device receives the lullaby and plays it through a speaker, while simultaneously monitoring the baby's movements using a camera installed on the device.

[0735] Input: Received digital audio file of lullaby and video data of baby.

[0736] Output: Played lullaby and collected video data.

[0737] What happens: The device launches a music playback application and uses the camera to capture real-time footage of the baby.

[0738] Step 5:

[0739] The device sends the collected video data and other sensor data to a server.

[0740] Input: Baby video and sensor data.

[0741] Output: Video and sensor data sent to the server.

[0742] Specific operation: The device sends data to the server via the network.

[0743] Step 6:

[0744] The server analyzes the transmitted data and determines whether the baby has fallen asleep.

[0745] Input: Collected video and sensor data.

[0746] Output: Baby's sleep state judgment result.

[0747] How it works: The server runs a data analysis algorithm to detect the baby's movements, vibrations, etc. to assess their sleep state.

[0748] Step 7:

[0749] When the server determines that the baby has fallen asleep, it sends an instruction to the terminal to stop the music playing means and the stuffed toy temperature adjusting means.

[0750] Input: Baby's sleep state judgment results.

[0751] Output: Instructions to stop music playback and temperature adjustment.

[0752] Specific operation: The server sends a signal to the device to terminate the music playback application and a signal to stop the temperature control system.

[0753] Step 8:

[0754] The device receives instructions from the server, stops the music playback, and adjusts the temperature of the stuffed animal to keep it at an appropriate level.

[0755] Input: Stop signal from the server.

[0756] Output: Stopped music playback and adjusted plush toy temperature.

[0757] Specific behavior: The device stops music playback applications and stops or adjusts the temperature control system.

[0758] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0759] The present invention is a system for effectively promoting sleep in babies, and in particular incorporates an emotion engine that recognizes the user's emotions and adjusts the system's operation based on those emotions. The specific configuration and operation of the system are described below.

[0760] Overall system configuration

[0761] The system includes a music generating means, a music playing means, a monitoring means, a transmitting means, a control means, a temperature adjusting means, and an emotion engine, which work together to optimize the baby's sleep environment and take into account the parent's emotions.

[0762] Music Generation Means

[0763] The server generates lullabies tailored to each baby's individual needs based on user input, using algorithms to construct melodies and rhythms that take into account factors such as the baby's age, past sleep patterns, and the current time of day. The generated music is then created as a digital audio file and sent to the device.

[0764] Music playback means

[0765] The device plays lullabies sent from the server. The playback is performed using the built-in speaker or an external speaker, and the music is played near the baby to promote sleep. The user can start playback and monitor the music using a smartphone or tablet.

[0766] monitoring means

[0767] The camera installed on the device captures images of the baby and sends the video data to a server in real time. The high-resolution camera can detect the baby's movements in detail. This data is used to accurately understand the baby's condition.

[0768] Transmission method

[0769] Captured video data and other sensor data are transmitted from the device to a server over a network connection, where the data is analyzed.

[0770] Control means

[0771] The server analyzes the data and determines the baby's sleep state. Based on the analysis results, it sends commands to the device. For example, if it determines that the baby has fallen asleep, it will issue an instruction to stop music playback and temperature adjustment.

[0772] Temperature adjustment means

[0773] The terminal adjusts the temperature of the stuffed toy based on instructions from the server. The stuffed toy has an internal heater and thermostat that maintains the set temperature at human skin temperature (approximately 36.5°C).

[0774] Emotion Engine

[0775] The server is equipped with an emotion engine for recognizing the user's emotions. Specifically, the emotion engine detects emotions by analyzing the user's voice tone, facial expressions, keyboard input, etc. Based on this emotion data, the parameters of the music generation means and temperature control means are dynamically changed.

[0776] Specific examples

[0777] Example of putting a child to bed at 7pm:

[0778] The user opens the app and enters information about their baby (such as the time they started putting their baby to sleep and their recent sleep patterns).

[0779] Based on the information acquired by the server, a new lullaby is generated and sent to the terminal.

[0780] The device plays music, monitors the baby via a camera, and regulates the temperature of the stuffed toy.

[0781] The emotion engine analyzes the user's emotions, and if stress is detected, the system switches to music with a more relaxing effect.

[0782] The device sends data to a server in real time, which then analyzes it to determine the baby's sleep state. When it determines that the baby has fallen asleep, it stops playing music and heating the stuffed toy.

[0783] Nap time example:

[0784] The user launches the app at noon and inputs that it's time for a nap.

[0785] The server uses past nap data to generate new lullabies and sends them to the device.

[0786] The device plays music, the camera monitors the baby, and the stuffed toy's temperature is adjusted accordingly.

[0787] The emotion engine analyzes the user's emotions and, if the sense of security is lacking, sets the temperature of the stuffed toy slightly higher.

[0788] The device sends the acquired data to a server, which analyzes it. If the server determines that the baby has fallen asleep, it stops playing music and adjusting the temperature of the stuffed toy.

[0789] As described above, the present invention is a system that automatically takes appropriate action according to the baby's condition and the user's emotions, thereby significantly reducing the burden on parents and supporting comfortable sleep for babies.

[0790] The processing flow will be explained below.

[0791] Step 1:

[0792] The user launches a dedicated app on their smartphone or tablet and enters information about their baby (age, recent sleep patterns, current time of day, etc.).

[0793] Step 2:

[0794] The device sends the entered information to a server using an internet connection.

[0795] Step 3:

[0796] The server analyzes the received information and generates the optimal lullaby to promote sleep using an algorithm that takes into account the baby's age, past sleep data, and the current time of day.

[0797] Step 4:

[0798] The server creates a music file based on the generated lullaby and sends the file to the terminal.

[0799] Step 5:

[0800] The device will play the music file it has received using either the built-in speaker or an external speaker.

[0801] Step 6:

[0802] The user places the stuffed toy near the baby, and the emotion engine sets the temperature of the stuffed toy based on the user's emotion data analyzed.

[0803] Step 7:

[0804] The device adjusts the temperature of the stuffed animal to the set body temperature. The stuffed animal is equipped with an internal heater and thermostat to maintain the set temperature (approximately 36.5°C).

[0805] Step 8:

[0806] A camera attached to the device captures images of the baby and transmits the images to a server in real time.

[0807] Step 9:

[0808] The server analyzes the video data and determines the baby's sleep state using image processing technology and machine learning algorithms.

[0809] Step 10:

[0810] When the server determines that the baby has fallen asleep, it immediately notifies the device, which includes instructions to stop music playback and to stop adjusting the temperature of the stuffed toy.

[0811] Step 11:

[0812] The device will stop playing music and stop adjusting the temperature of the plush toy. The heater on the plush toy will turn off and the temperature will return to normal.

[0813] Step 12:

[0814] The server notifies the user that the baby has fallen asleep, either via a push notification in the app, SMS, or email.

[0815] Step 13:

[0816] The emotion engine continuously analyzes the user's emotions and adjusts the system accordingly. For example, if the user is feeling stressed, the system may switch to more relaxing music or change the temperature of the stuffed toy.

[0817] These are the specific processing steps of the system, which automatically provides a comfortable sleeping environment for babies and reduces the burden on parents.

[0818] Example 2

[0819] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0820] Optimizing a baby's sleep environment and reducing the burden on parents are important challenges. Conventional systems have difficulty monitoring a baby's condition in real time and adjusting the appropriate music and temperature. Furthermore, systems do not adjust to take parents' emotions into account, resulting in insufficient effectiveness in reducing parental stress. To solve these challenges, a system is needed that can accurately monitor a baby's condition and take appropriate measures in a timely manner.

[0821] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a music generating means, a music playing means, a monitoring means, a transmitting means, a control means, a temperature adjusting means, and an emotion analyzing means. This enables automatic system adjustment based on the baby's condition and the parent's emotion.

[0822] The "music generating means" is a mechanism that generates music to promote sleep in babies.

[0823] The "music playback means" is a mechanism for playing back the generated music.

[0824] A "monitoring means" is a mechanism for monitoring the baby's condition and collecting that data.

[0825] The "transmission means" is a mechanism for transmitting data collected by the monitoring means to a remote computer.

[0826] The "control means" is a mechanism that controls the music playing means and the temperature adjusting means based on data received from a remote computer.

[0827] "Temperature adjustment means" is a mechanism for adjusting the temperature of the stuffed toy.

[0828] The "means for maintaining the temperature" is a mechanism for maintaining the temperature adjusted by the temperature adjustment means constant.

[0829] The "emotion analysis means" is a mechanism that analyzes the user's emotions and dynamically adjusts the system based on the analysis.

[0830] The present invention is a system for effectively promoting sleep in babies. In particular, it incorporates an emotion engine that recognizes the user's emotions and adjusts the system's operation based on those emotions. The specific configuration and operation of this system are described below.

[0831] System configuration

[0832] The system includes the following elements:

[0833] 1. Music Generation Means:

[0834] The server generates lullabies suited to each baby's individual situation based on user input. The software used for music generation is Python machine learning libraries (e.g., TensorFlow) and digital audio workstations (e.g., Ableton Live).

[0835] Example: If you enter "put the baby to bed at 7pm", the server will generate an appropriate lullaby based on this information.

[0836] Example prompt: "Generate a soothing lullaby to lull my baby to sleep."

[0837] 2. Music playback method:

[0838] The device plays the lullaby sent from the server. It can use the built-in speaker or an external speaker (e.g., Sonos speaker). The user starts playback on their smartphone or tablet.

[0839] Example: A lullaby sent from the server arrives at the device, and when the user presses the play button, the music is played from the speaker.

[0840] Example prompt: "Play the lullaby I sent you."

[0841] 3. Monitoring measures:

[0842] A camera (e.g., Logitech C920) installed on the device captures images of the baby and sends the image data to a server in real time. Using a high-resolution camera makes it possible to detect detailed movements.

[0843] Example: A smartphone camera captures a baby's movements and sends the data to a server.

[0844] Example prompt: "Please monitor the baby on camera."

[0845] 4. Means of transmission:

[0846] The device uses Wi-Fi or mobile networks to transmit captured video data and other sensor data to a server.

[0847] Example: Video data acquired by the device is sent to a server via Wi-Fi and used for analysis.

[0848] Example prompt: "Please send the collected data to the server."

[0849] 5. Control measures:

[0850] The server analyzes the received data and determines the baby's sleep state. It uses a machine learning model (e.g., TensorFlow) for the analysis. Based on the analysis results, it sends commands to the device.

[0851] Example: The server analyzes the baby's movements and, if it determines that the baby has fallen asleep, sends a command to the device to stop playing music.

[0852] Example prompt: "Please analyze whether the baby has fallen asleep and give instructions."

[0853] 6. Emotion analysis means:

[0854] The server is equipped with an emotion engine that analyzes the user's voice tone, facial expressions, and keyboard input to recognize emotions. Specifically, the emotion engine uses an emotion analysis API (e.g., Microsoft Azure Emotion API).

[0855] Example: If the system detects that the user is feeling stressed, it will change the music to something more relaxing.

[0856] Sample prompt: "Analyze user sentiment and adjust system settings."

[0857] 7. Temperature adjustment means:

[0858] Based on instructions from the server, the terminal controls the heater and thermostat inside the stuffed animal to adjust the temperature to that of human skin (approximately 36.5°C).

[0859] Example: If the server determines that the baby has fallen asleep, the device will turn off the heater on the stuffed toy.

[0860] Example prompt: "Please set the temperature of the stuffed toy."

[0861] Examples of concrete examples and prompts

[0862] Specific examples of putting children to sleep

[0863] 1. Putting the kids to bed at 7pm

[0864] The user opens the app and enters their baby's information (sleep start time: 7pm, recent sleep patterns).

[0865] The device transmits this information to the server in real time.

[0866] The server generates an appropriate lullaby based on the baby's information.

[0867] The server sends the generated lullaby to the terminal.

[0868] The device plays lullabies and monitors the baby using a camera.

[0869] The device transmits camera images to the server in real time.

[0870] The server analyzes the video data and determines the baby's sleep state.

[0871] The server uses an emotion engine to analyze the user's emotions and adjusts the system settings as needed.

[0872] When the server determines that the baby has fallen asleep, it sends a command to the device to stop playing music and heating the stuffed toy.

[0873] The device will stop playing music and adjusting the temperature.

[0874] Specific examples of naps

[0875] 1. Nap Time

[0876] The user launches the app and enters the time of their nap.

[0877] The device transmits this information to the server in real time.

[0878] The server generates a lullaby based on past data.

[0879] The server sends the generated lullaby to the terminal.

[0880] The device plays lullabies and a camera monitors the baby.

[0881] The device transmits the images captured by the camera to the server in real time.

[0882] The server analyzes the video data and determines the baby's sleep state.

[0883] The server uses an emotion engine to analyze the user's emotions and adjusts the system settings as needed.

[0884] When the server determines that the baby has fallen asleep, it sends a command to the device to stop playing music and heating the stuffed toy.

[0885] The device will stop playing music and adjusting the temperature.

[0886] As described above, the present invention is a system that automatically takes appropriate action according to the baby's condition and the user's emotions, thereby significantly reducing the burden on parents and supporting comfortable sleep for babies.

[0887] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0888] Step 1:

[0889] The user opens the app on their smartphone and enters the baby's information.

[0890] Input: Bedtime start time, recent sleep patterns, etc.

[0891] Specific action: "To put my child to bed at 7pm, I will enter the start time of bedtime and recent sleep patterns."

[0892] Output: Input information data.

[0893] Step 2:

[0894] The terminal transmits the information entered by the user to the server via the network.

[0895] Input: Information data entered by the user.

[0896] Specific operation: "The input information is sent to the server in real time via Wi-Fi."

[0897] Output: Information sent to the server.

[0898] Step 3:

[0899] The server receives the information sent by the user and generates a lullaby based on that information using a generative AI model.

[0900] Input: Information sent to the server.

[0901] Data processing: Using Python machine learning libraries (e.g., TensorFlow), melodies and rhythms are generated using models trained on the baby data.

[0902] Specific Action: "Generate a lullaby suitable for putting a child to bed at 7pm."

[0903] Output: Generated lullaby digital audio file.

[0904] Step 4:

[0905] The server creates the generated lullaby as an audio file and sends it to the device.

[0906] Input: Generated lullaby digital audio file.

[0907] Specific action: "Send the generated lullaby to the device."

[0908] Output: The digital audio file sent to your device.

[0909] Step 5:

[0910] The device receives the lullaby sent from the server and plays it on the smartphone or tablet's built-in speaker or an external speaker.

[0911] Input: Digital audio file sent from the server.

[0912] Specific behavior: "When the user presses the play button, music plays through the speaker."

[0913] Output: Lullaby played over speaker.

[0914] Step 6:

[0915] A camera installed on the device captures video of the baby and sends this video data to a server in real time.

[0916] Input: Video data captured by the camera.

[0917] Specific operation: "Take detailed pictures of the baby's movements with a camera and send the data to a server."

[0918] Output: Video data sent to the server.

[0919] Step 7:

[0920] The server analyzes the received video and sensor data to determine the baby's sleep state.

[0921] Input: Video and sensor data sent to the server.

[0922] Data Computing: Using machine learning models (e.g. TensorFlow) to analyze baby movement patterns.

[0923] Specific operation: "Analyze video data and determine the baby's sleep state."

[0924] Output: Sleep state analysis results.

[0925] Step 8:

[0926] The server uses an emotion engine to analyze the user's emotions and recognize the user's tone of voice, facial expressions, and keyboard input.

[0927] Input: User's voice tone, facial expressions, and keyboard input data.

[0928] Data calculation: Recognize user emotions using emotion analysis APIs (e.g., Microsoft Azure Emotion API).

[0929] Specific behavior: "Analyze user sentiment and adjust system settings as needed."

[0930] Output: Emotion analysis results.

[0931] Step 9:

[0932] If the server determines that the baby has fallen asleep, it sends a command to the device to stop playing music and to stop adjusting the temperature of the stuffed toy.

[0933] Input: Sleep state analysis results.

[0934] Specific behavior: "When it determines that the baby has fallen asleep, it sends a command to the device to stop playing music."

[0935] Output: Control instructions sent to the terminal.

[0936] Step 10:

[0937] The device receives a stop command from the server and stops playing music and adjusting the temperature of the stuffed animal.

[0938] Input: Control command sent from the server.

[0939] Action: "Stop music playback and thermostat adjustment."

[0940] Output: Stopped music playback and temperature adjustment.

[0941] (Application example 2)

[0942] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0943] Existing systems for promoting baby sleep have the ability to monitor the baby's condition and adjust music and environmental settings, but there are no systems that take into account the emotional state of parents and workers. Such a system would reduce stress not only for the baby but also for the parents and workers working in the environment, improving overall work efficiency and quality of life. Furthermore, there is a need for an improved user experience by providing appropriate suggestions based on emotions.

[0944] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0945] In this invention, the server includes a music generating means, a music playing means, a monitoring means, a transmitting means, a control means, a temperature adjusting means, an emotion recognizing means, and a suggesting means, which not only promotes the baby's sleep but also makes it possible to recognize the emotional state of the operator in real time and set the environment and make suggestions according to that emotion.

[0946] The "music generating means" is a means for generating music according to the individual situation and state of the baby in order to promote the baby's sleep.

[0947] The "music reproducing means" is a means for reproducing the music generated by the music generating means.

[0948] The "monitoring means" is a means for monitoring the state of the baby in relation to the music playing means and collecting necessary data.

[0949] The "transmission means" is a means for transmitting data generated based on the baby's condition to a remote server.

[0950] The "control means" is a means for controlling the music playback means and the temperature adjustment means based on data received from a remote server.

[0951] "Temperature adjustment means" is a means for adjusting the temperature of the stuffed animal.

[0952] The "emotion recognition means" is a means for recognizing the emotions of workers and parents in real time and analyzing them as data.

[0953] The "suggestion means" is a means for analyzing the emotion data acquired by the emotion recognition means and proposing the most suitable actions and environmental settings to the worker or parent as necessary.

[0954] "Baby status" refers to the baby's physical and physiological state, such as whether they are awake or asleep.

[0955] "Emotional state" refers to the worker's or parent's current feelings, such as mental state, such as stress, fatigue, happiness, etc.

[0956] This invention provides a system for promoting sleep in babies, recognizing the emotional state of workers and parents in real time, and suggesting optimal environments. The system components include a music generation unit, a music playback unit, a monitoring unit, a transmission unit, a control unit, a temperature adjustment unit, an emotion recognition unit, and a suggestion unit.

[0957] Specifically, the server uses a music generator to generate music to promote sleep for the baby. This music is customized based on the baby's individual situation and constructed as a digital audio file. The music is generated using an algorithm that takes into account the baby's age, past sleep patterns, the current time of day, etc.

[0958] The generated music file is sent to the device and played by the music player. The built-in speaker or an external speaker can be used to play the music near the baby, with the aim of promoting sleep. The user can start playback and monitor the baby using a smartphone or tablet.

[0959] As a monitoring method, a camera installed on the device captures images of the baby, and this video data is sent to a server in real time. The high-resolution camera can detect the baby's movements in detail, and the video data is used to accurately grasp the baby's condition.

[0960] This video data and other sensor data are sent to a server via a transmission means. The server analyzes the data and determines the baby's sleep state and environmental conditions. Based on the analysis results, the control means issues instructions to the music player and temperature control means. For example, if it determines that the baby has fallen asleep, it sends a command to stop music playback and temperature control.

[0961] The emotion recognition means is a means for recognizing the user's emotions in real time. It detects the user's emotions by analyzing voice tone, facial expressions, keyboard input, etc., and dynamically changes the parameters of the music generation means and temperature control means based on that data. This allows the system's operation to be optimized according to the user's emotional state.

[0962] A concrete example of the system's behavior based on emotion data is that if a worker is feeling stressed, it will automatically suggest taking a break and adjust the temperature of the work environment. The following prompt sentences are used as examples of inputs to the generative AI model:

[0963] Worker Emotion Recognition Results: Stress

[0964] Suggestion: Suggest breaks and lower the temperature in the factory by 2 degrees.

[0965] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0966] Step 1:

[0967] The user launches the application

[0968] The user opens the application on a device such as a smartphone or tablet. They input information about their baby (such as age, recent sleep patterns, and desired time for putting the baby to sleep). The input data is saved on the device and used as the basis for generating music. Specifically, the information entered by the user is recorded in the device's local database, and an initialization process is performed.

[0969] Step 2:

[0970] The server generates the music

[0971] The device transmits the baby's stored information to the server via a transmission means. The server then uses a music generation means to generate music suited to the baby's individual situation. Here, an algorithm analyzes past data, time of day, etc. to create the optimal melody and rhythm. The generated music is then compiled into a digital audio file, which is then sent back to the device.

[0972] Step 3:

[0973] The device plays music

[0974] The digital audio file sent to the device is played using the music playback means. The sound is output through the speaker (built-in or external) set by the user, and the lullaby plays near the baby. During playback, real-time monitoring is performed, allowing the user to check the playback status via the device. Specifically, the music playback software analyzes the audio file and outputs it to the speaker.

[0975] Step 4:

[0976] Monitoring the baby's condition through monitoring means

[0977] A camera installed on the terminal captures video of the baby. The captured video data is sent to the server via a transmission means. Other sensors (for example, temperature sensors and motion sensors) also acquire data on the baby's condition in real time and send it in the same way. The input is video data and sensor data, and the output is data sent to the server.

[0978] Step 5:

[0979] Server-based data analysis and control

[0980] The transmitted video data and sensor data are analyzed to determine the baby's condition. For example, the analysis engine determines whether the baby has fallen asleep, and based on that result, it issues instructions to the device through the control means. These instructions include stopping music playback and adjusting the temperature. The analysis algorithm processes the data and generates control commands.

[0981] Step 6:

[0982] Emotion analysis of users using emotion recognition methods

[0983] Data such as voice tone, facial expressions, and keyboard input is analyzed by the emotion recognition means to determine the user's emotional state. The emotion data is sent to a server, and parameters for the music generation means and temperature control means are dynamically changed based on the analysis. For example, if the user is feeling stressed, music can be switched to one with a more relaxing effect. The input is the user's emotion data, and the output is the analysis result.

[0984] Step 7:

[0985] Proposal to the user through suggestion means

[0986] Based on the analyzed emotional data, the system will suggest optimal actions and environmental settings to the user as needed. For example, if stress levels are high, the system will suggest taking a break and prompt the user to adjust their work environment. Specific prompts will also be generated and notified to the user. This response reduces the user's stress and maintains an efficient environment. The input is the result of analyzing the emotional data, and the output is suggestions to the user.

[0987] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0988] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0989] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0990] [Third embodiment]

[0991] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0992] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0993] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0994] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0995] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0996] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0997] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0998] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0999] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1000] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1001] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1002] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[1003] The present invention is a system for effectively promoting sleep in babies, and is configured as follows.

[1004] Overall system configuration

[1005] The system includes a music generating means, a music playing means, a monitoring means, a transmitting means, a control means, a temperature adjusting means, and a stuffed toy, which work together to optimize the baby's sleeping environment.

[1006] Music Generation Means

[1007] The server generates lullabies tailored to each baby's individual needs based on user input. Specifically, it uses algorithms to create optimal melodies and rhythms based on information such as the baby's age, past sleep patterns, and the current time of day. The music is then generated as a digital audio file and sent to the device.

[1008] Music playback means

[1009] The device plays the lullaby sent from the server. The music playback means plays music near the baby through a speaker to promote sleep. The user can start playback and monitor the sound using a smartphone or tablet.

[1010] monitoring means

[1011] The device is equipped with a camera that captures the baby's condition in real time. The camera has high resolution and can capture the baby's movements in detail. This video data is used to accurately understand the baby's condition.

[1012] Transmission method

[1013] The captured video data and other sensor data are transmitted from the device to a server. The transmission means has a function of reliably delivering the data to the server using a network connection.

[1014] Control means

[1015] The server analyzes the data and determines the baby's sleep state. Based on the analysis results, it sends commands to the device. For example, if it determines that the baby has fallen asleep, it stops playing music and instructs the device to adjust the temperature of the stuffed toy.

[1016] Temperature adjustment means

[1017] The terminal adjusts the temperature of the stuffed toy based on instructions from the server. The stuffed toy has an internal heater that keeps it at body temperature (approximately 36.5°C) to give the baby a sense of comfort. The temperature adjustment means uses a sensor to maintain the temperature within a certain range.

[1018] Specific examples

[1019] Example of putting a child to bed at 7pm:

[1020] The user opens the app on their smartphone and enters information about their baby (such as the time they started putting their baby to sleep and their recent sleep patterns).

[1021] Based on the information acquired by the server, a new lullaby is generated and sent to the terminal.

[1022] The device plays music, monitors the baby via a camera, and regulates the temperature of the stuffed toy.

[1023] The device sends data to a server in real time, which then analyzes it to determine the baby's sleep state. When it determines that the baby has fallen asleep, it stops playing music and heating the stuffed toy.

[1024] Nap time example:

[1025] The user launches the app at noon and inputs that it's time for a nap.

[1026] The server generates a new lullaby based on past nap data and sends it to the device.

[1027] The device plays music, the camera monitors the baby, and the stuffed toy's temperature is adjusted accordingly.

[1028] The device sends the acquired data to a server, which analyzes it. If the server determines that the baby has fallen asleep, it stops playing music and adjusting the temperature of the stuffed toy.

[1029] As described above, the present invention is a system that automatically takes appropriate action according to the baby's condition, greatly reducing the burden on parents and supporting comfortable sleep for babies.

[1030] The processing flow will be explained below.

[1031] Step 1:

[1032] The user launches a dedicated app on their smartphone or tablet and enters information about their baby (age, recent sleep patterns, current time of day, etc.).

[1033] Step 2:

[1034] The device sends the entered information to a server using an internet connection.

[1035] Step 3:

[1036] The server analyzes the received information and generates the optimal lullaby to promote sleep for the baby, using an algorithm that takes into account the baby's age, past sleep data, and the current time of day.

[1037] Step 4:

[1038] The server creates a digital audio file of the generated lullaby and transmits the file to the terminal.

[1039] Step 5:

[1040] Plays audio files received by the device, either through the built-in speaker or an external speaker.

[1041] Step 6:

[1042] The user places the stuffed toy near the baby and receives instructions from the device to turn on the stuffed toy and set it to body temperature.

[1043] Step 7:

[1044] The device adjusts the temperature of the stuffed animal to human skin temperature, and the stuffed animal has a built-in heater and thermostat to maintain a set temperature of 36.5°C.

[1045] Step 8:

[1046] A camera installed in the device captures video of the baby and sends the video data to a server in real time, recording in detail the baby's movements, eye opening and closing, breathing rhythm, and more.

[1047] Step 9:

[1048] The server analyzes the received video data and determines the baby's sleep state using image processing technology and machine learning algorithms.

[1049] Step 10:

[1050] When the server determines that the baby has fallen asleep, it immediately notifies the device, which includes instructions to stop music playback and to stop adjusting the temperature of the stuffed toy.

[1051] Step 11:

[1052] The device will stop playing music and stop adjusting the plush toy's temperature. The plush toy's heater will turn off and the temperature will return to normal.

[1053] Step 12:

[1054] The server notifies the user that the baby has fallen asleep via push notification, SMS, or email.

[1055] The above are the specific processing steps of the system, which automatically provide a comfortable sleeping environment for the baby.

[1056] Example 1

[1057] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1058] While there are many ways to promote baby sleep, managing a baby's sleep can be a significant burden for today's busy parents. Manual tasks such as selecting and playing effective lullabies and monitoring the baby's condition can be time-consuming and labor-intensive. Therefore, there is a need for an automated system that helps parents optimize their baby's sleep environment and ensure comfortable sleep.

[1059] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1060] In this invention, the server includes a music generating means for generating a lullaby based on information about the baby provided by the user, a control means for analyzing data sent to the remote server and determining the baby's sleeping state, and a temperature adjusting means for adjusting the temperature of the stuffed toy based on the baby's state. This reduces the burden on the user and enables a system that automatically supports a comfortable sleep for the baby.

[1061] "User" refers to the parent or guardian who uses the system and enters information about their baby.

[1062] "Baby" refers to children whose sleep environment is being optimized.

[1063] "Information" refers to data including the baby's age, past sleep patterns, current time of day, etc.

[1064] "Music generation means" refers to the function that uses AI to generate lullabies based on information provided by the user.

[1065] "Lullaby" refers to music in audio file format that promotes sleep in babies.

[1066] "Music playback means" refers to a device that plays the generated lullaby through a speaker or the like.

[1067] "Terminal" refers to a device, such as a smartphone or tablet, that is equipped with means for operating and monitoring music playback means.

[1068] "Camera" refers to an image capture device that captures the baby's condition in real time.

[1069] "Monitoring means" refers to the function of monitoring the baby's condition in real time using a camera.

[1070] The "transmission means" refers to a function for transmitting data acquired by the monitoring means to a remote server.

[1071] "Server" refers to a central management device that manages the entire system and performs data analysis and control instructions.

[1072] "Control means" refers to a function that controls the music playback means and the temperature adjustment means based on data received from the server.

[1073] "Temperature adjustment means" refers to the function of adjusting the temperature of the stuffed animal according to the baby's condition.

[1074] A "stuffed toy" is an item that has a built-in heater inside to give babies a sense of security.

[1075] "Data" refers to information including the baby's condition and sleep status.

[1076] "Analysis" refers to the process by which the server determines the baby's sleep state based on the data sent.

[1077] This invention is a system for effectively promoting a baby's sleep. The system includes a music generating means, a music playing means, a monitoring means, a transmitting means, a control means, a temperature adjusting means, and a stuffed toy. These elements work together to optimize the baby's sleep environment.

[1078] Music Generation Means

[1079] The server receives information about the baby provided by the user, such as age, past sleep patterns, and current time of day. Using a generative AI model on the server, it generates a lullaby tailored to the baby's needs. The generated music file is saved in digital audio format.

[1080] Specific examples:

[1081] Once the user inputs information such as the baby's age (6 months), recent sleep patterns (3 wake-ups between 7pm and 7am), and the current time of day (7pm), the server uses a generative AI model to construct a soothing lullaby melody.

[1082] Music playback means

[1083] The device receives lullabies sent from the server, decodes the received music files, and plays them near the baby through a speaker. The user can then start playback and monitor the sound using a smartphone or tablet.

[1084] monitoring means

[1085] The device is equipped with a high-resolution camera that captures the baby's movements in real time and temporarily stores the video data, which is used to closely monitor the baby's condition.

[1086] Transmission method

[1087] The device transmits the captured video data and other sensor data to the server via a network connection, compressing the data to ensure reliable transmission.

[1088] Control means

[1089] The server analyzes the received data and determines the baby's sleep state. For example, if it determines that the baby has fallen asleep, the server sends a command to the device to stop playing music. At the same time, it also sends a command to adjust the temperature of the stuffed toy.

[1090] Temperature adjustment means

[1091] The terminal adjusts the temperature of the stuffed toy based on instructions from the server. The stuffed toy is equipped with an internal heater and is kept at the temperature of human skin (approximately 36.5°C). The temperature adjustment means uses a sensor to maintain the temperature of the stuffed toy within a certain range.

[1092] Specific examples

[1093] Example of putting a child to bed at 7pm:

[1094] 1. The user enters information about their baby (such as the time the baby was put to sleep and recent sleep patterns) into a smartphone app.

[1095] 2. The server generates a new lullaby based on this information and sends it to the device.

[1096] 3. The device will play music, monitor your baby with a camera, and adjust the temperature of the stuffed toy accordingly.

[1097] 4. The device sends the data to the server in real time, and the server analyzes the data to determine the baby's sleep state. If it determines that the baby has fallen asleep, it stops playing music and adjusting the temperature of the stuffed toy.

[1098] Examples of naps:

[1099] 1. The user launches the app at noon and inputs that it is time for a nap.

[1100] 2. The server generates a new lullaby based on past nap data and sends it to the device.

[1101] 3. The device will play music, the camera will monitor the baby, and the temperature of the stuffed toy will be adjusted accordingly.

[1102] 4. The device sends the acquired data to the server, and when the server analyzes the data and determines that the baby has fallen asleep, it stops playing music and adjusting the temperature of the stuffed toy.

[1103] Prompt Sentence Examples

[1104] "Generate appropriate lullabies based on your baby's current age and recent sleep patterns."

[1105] "Analyze the baby's sleep state based on the video data captured by the camera and report the results."

[1106] "Once you determine your baby has fallen asleep, stop playing the lullaby and adjust the temperature of the stuffed toy appropriately."

[1107] This system significantly reduces the burden on the user and provides a series of automated processes to support comfortable sleep for babies.

[1108] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1109] Step 1:

[1110] The user enters the baby's information.

[1111] Specifically, the user launches a dedicated smartphone app and inputs information such as the baby's age, past sleep patterns, and the current time of day. The input data becomes the basis for the system to generate lullabies.

[1112] Input: Data such as baby's age, past sleep patterns, and current time of day.

[1113] Output: Baby information sent to the server.

[1114] Step 2:

[1115] The server generates the lullaby.

[1116] Specifically, the server uses a generative AI model to generate an optimal lullaby based on the received baby information, constructing melodies and rhythms based on the baby's age and sleep patterns, and saving the generated music file in digital audio format.

[1117] Input: Baby information.

[1118] Output: A digital audio file of the generated lullaby.

[1119] Data processing: Creating music data using a generative AI model.

[1120] Step 3:

[1121] The server sends the generated lullaby to the device.

[1122] Specifically, the server sends the generated music file to the device as a data packet over the Internet, and confirms that the device has received the data.

[1123] Input: A digital audio file of the generated lullaby.

[1124] Output: The music file sent to your device.

[1125] Step 4:

[1126] The device plays a lullaby.

[1127] Specifically, the device decodes the received music file and plays it through the speaker, while the user controls and monitors the playback using a smartphone or tablet.

[1128] Input: Digital audio file sent from the server.

[1129] Output: Music played through the speakers.

[1130] Data processing: Decode and play music files.

[1131] Step 5:

[1132] The device monitors the baby's condition.

[1133] Specifically, a high-resolution camera captures the baby's movements in real time and temporarily stores the video data.

[1134] Input: Video data acquired through a camera.

[1135] Output: Temporarily stored video data.

[1136] Step 6:

[1137] The device transmits the monitoring data to the server.

[1138] Specifically, the device compresses the captured video data and other sensor data and transmits it to a server via a network.

[1139] Input: Video data, sensor data.

[1140] Output: Data packets sent to the server.

[1141] Step 7:

[1142] The server analyzes the data and determines the baby's sleep state.

[1143] Specifically, the server analyzes the received data and determines whether the baby has fallen asleep, using a machine learning algorithm.

[1144] Input: Video data and sensor data sent from the device.

[1145] Output: Sleep state analysis results.

[1146] Data processing: Analyzing data using machine learning algorithms.

[1147] Step 8:

[1148] The server sends control instructions to the terminal.

[1149] Specifically, based on the sleep state assessment results, the server sends instructions to the device, such as stopping music playback or adjusting the temperature of the stuffed toy.

[1150] Input: Sleep state analysis results.

[1151] Output: Control instructions sent to the terminal.

[1152] Step 9:

[1153] The terminal executes the control instruction.

[1154] Specifically, the device follows the control instructions received from the server to stop music playback and adjust the heater of the stuffed toy.

[1155] Input: Control instructions from the server.

[1156] Output: Stops music and adjusts the temperature of the plush toy.

[1157] (Application example 1)

[1158] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1159] In modern homes, effectively promoting a baby's sleep requires a lot of effort and time. Parents have to constantly monitor their baby's condition and manually adjust the appropriate music and temperature, placing a heavy burden on parents. Furthermore, there is a lack of customized sleep promotion strategies tailored to each baby's individual circumstances, and a one-size-fits-all approach prevents babies from getting a good night's sleep.

[1160] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1161] In this invention, the server includes a music generation means for promoting sleep of the baby, a music playback means for playing music generated by the music generation means, a monitoring means for monitoring the baby's condition related to the music playback means, a transmission means for transmitting data generated based on the baby's condition to a remote server, a control means for controlling the music playback means and the temperature adjustment means of the stuffed animal based on data received from the remote server, a temperature adjustment means for adjusting the temperature of the stuffed animal, a means for maintaining the temperature adjusted by the temperature adjustment means, a generative AI model for generating customized lullabies based on baby information input by a user, and a smartphone application for controlling music playback, monitoring, data processing, and temperature adjustment. This allows the system to automatically take optimal measures according to the baby's individual condition, reducing the burden on parents and promoting comfortable sleep for the baby.

[1162] The "music generation means" is a technology that generates the optimal lullaby according to the individual situation of the baby.

[1163] "Music playback means" refers to a technique for playing back the generated lullaby via a speaker or the like.

[1164] "Monitoring means" refers to technology that monitors the baby's condition in real time and collects data.

[1165] "Transmission means" refers to the technology used to transmit collected data to a remote server.

[1166] The "control means" is a technology that controls the music playback means and temperature adjustment means based on data received from the server.

[1167] "Temperature adjustment means" refers to technology that adjusts the temperature of the stuffed animal to a temperature suitable for the baby.

[1168] "Means for maintaining temperature" refers to technology for maintaining a temperature that has been adjusted for a certain period of time.

[1169] A "generative AI model" is an artificial intelligence algorithm that generates customized lullabies based on information about the baby entered by the user.

[1170] "Smartphone application" refers to smartphone software that has the functions of music playback, monitoring, data processing, and temperature control and that can be operated by the user.

[1171] The present invention is a system for effectively promoting a baby's sleep, and includes a music generating means, a music playing means, a monitoring means, a transmitting means, a control means, a temperature adjusting means, and a smartphone application. These elements work together to optimize the baby's sleep environment.

[1172] Overall system configuration

[1173] The system consists of the following main elements:

[1174] 1. Music Generation Means:

[1175] The server generates lullabies tailored to each baby's individual needs based on user input. Specifically, it uses a generative AI model to build optimal melodies and rhythms, taking into account the baby's age, past sleep patterns, and current time of day. This music is then generated as a digital audio file and sent to the device.

[1176] 2. Music playback method:

[1177] The device plays the lullaby sent from the server. The music playback means plays music near the baby through a speaker to promote sleep. The user can start playback and monitor the sound using a smartphone or tablet.

[1178] 3. Monitoring measures:

[1179] The device is equipped with a camera that captures the baby's condition in real time. The camera has high resolution and can capture the baby's movements in detail. This video data is used to accurately understand the baby's condition.

[1180] 4. Means of transmission:

[1181] The captured video data and other sensor data are transmitted from the device to a server. The transmission means has a function of reliably delivering the data to the server using a network connection.

[1182] 5. Control measures:

[1183] The server analyzes the data and determines the baby's sleep state. Based on the analysis results, it sends commands to the device. For example, if it determines that the baby has fallen asleep, it stops playing music and instructs the device to adjust the temperature of the stuffed toy.

[1184] 6. Temperature adjustment means:

[1185] The terminal adjusts the temperature of the stuffed toy based on instructions from the server. The stuffed toy has an internal heater that keeps it at body temperature (approximately 36.5°C) to give the baby a sense of comfort. The temperature adjustment means uses a sensor to maintain the temperature within a certain range.

[1186] 7. Smartphone applications:

[1187] An application for controlling music playback, monitoring, data processing, and temperature adjustment is installed on a smartphone, through which the user can input the baby's information and operate and monitor the entire system.

[1188] Specific examples

[1189] Example of putting a child to bed at 7pm:

[1190] The user opens the app on their smartphone and enters information about their baby (such as the time they started putting their baby to sleep and their recent sleep patterns).

[1191] Based on the information acquired by the server, a new lullaby is generated and sent to the terminal.

[1192] The device plays music, monitors the baby via a camera, and regulates the temperature of the stuffed toy.

[1193] The device sends data to a server in real time, which then analyzes it to determine the baby's sleep state. When it determines that the baby has fallen asleep, it stops playing music and heating the stuffed toy.

[1194] Nap time example:

[1195] The user launches the app at noon and inputs that it's time for a nap.

[1196] The server generates a new lullaby based on past nap data and sends it to the device.

[1197] The device plays music, the camera monitors the baby, and the stuffed toy's temperature is adjusted accordingly.

[1198] The device sends the acquired data to a server, which analyzes it. If the server determines that the baby has fallen asleep, it stops playing music and adjusting the temperature of the stuffed toy.

[1199] Prompt Sentence Examples

[1200] "Please tell us the specific specifications of the baby care system app. We would like to provide prompts for the application, including functions aimed at promoting baby sleep (music generation, monitoring, real-time data processing, temperature control, etc.)."

[1201] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1202] Step 1:

[1203] The user opens the app on their smartphone and enters information about their baby (time to start putting them to sleep, recent sleep patterns, age, etc.), which allows the application to collect basic information about the baby.

[1204] Input: Baby's age, sleep patterns, current time of day, etc.

[1205] Output: Request data created based on user input information.

[1206] Specific behavior: The application displays an information entry screen through the user interface, and the user enters the information.

[1207] Step 2:

[1208] The server receives the baby information sent by the user and uses a generative AI model to generate the optimal lullaby.

[1209] Input: User-entered information.

[1210] Output: A digital audio file of your customized lullaby.

[1211] What it does: The server uses the generative AI model to run an algorithm that generates a lullaby based on information like the baby's age, past sleep patterns, and time of day.

[1212] Step 3:

[1213] The server transmits the generated digital audio file of the lullaby to the terminal.

[1214] Input: A digital audio file of a customized lullaby.

[1215] Output: The lullaby file sent to the device.

[1216] Specific operation: The server sends a data file to the terminal via the network.

[1217] Step 4:

[1218] The device receives the lullaby and plays it through a speaker, while simultaneously monitoring the baby's movements using a camera installed on the device.

[1219] Input: Received digital audio file of lullaby and video data of baby.

[1220] Output: Played lullaby and collected video data.

[1221] What happens: The device launches a music playback application and uses the camera to capture real-time footage of the baby.

[1222] Step 5:

[1223] The device sends the collected video data and other sensor data to a server.

[1224] Input: Baby video and sensor data.

[1225] Output: Video and sensor data sent to the server.

[1226] Specific operation: The device sends data to the server via the network.

[1227] Step 6:

[1228] The server analyzes the transmitted data and determines whether the baby has fallen asleep.

[1229] Input: Collected video and sensor data.

[1230] Output: Baby's sleep state judgment result.

[1231] How it works: The server runs a data analysis algorithm to detect the baby's movements, vibrations, etc. to assess their sleep state.

[1232] Step 7:

[1233] When the server determines that the baby has fallen asleep, it sends an instruction to the terminal to stop the music playing means and the stuffed toy temperature adjusting means.

[1234] Input: Baby's sleep state judgment results.

[1235] Output: Instructions to stop music playback and temperature adjustment.

[1236] Specific operation: The server sends a signal to the device to terminate the music playback application and a signal to stop the temperature control system.

[1237] Step 8:

[1238] The device receives instructions from the server, stops the music playback, and adjusts the temperature of the stuffed animal to keep it at an appropriate level.

[1239] Input: Stop signal from the server.

[1240] Output: Stopped music playback and adjusted plush toy temperature.

[1241] Specific behavior: The device stops music playback applications and stops or adjusts the temperature control system.

[1242] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1243] The present invention is a system for effectively promoting sleep in babies, and in particular incorporates an emotion engine that recognizes the user's emotions and adjusts the system's operation based on those emotions. The specific configuration and operation of the system are described below.

[1244] Overall system configuration

[1245] The system includes a music generating means, a music playing means, a monitoring means, a transmitting means, a control means, a temperature adjusting means, and an emotion engine, which work together to optimize the baby's sleep environment and take into account the parent's emotions.

[1246] Music Generation Means

[1247] The server generates lullabies tailored to each baby's individual needs based on user input, using algorithms to construct melodies and rhythms that take into account factors such as the baby's age, past sleep patterns, and the current time of day. The generated music is then created as a digital audio file and sent to the device.

[1248] Music playback means

[1249] The device plays lullabies sent from the server. The playback is performed using the built-in speaker or an external speaker, and the music is played near the baby to promote sleep. The user can start playback and monitor the music using a smartphone or tablet.

[1250] monitoring means

[1251] The camera installed on the device captures images of the baby and sends the video data to a server in real time. The high-resolution camera can detect the baby's movements in detail. This data is used to accurately understand the baby's condition.

[1252] Transmission method

[1253] Captured video data and other sensor data are transmitted from the device to a server over a network connection, where the data is analyzed.

[1254] Control means

[1255] The server analyzes the data and determines the baby's sleep state. Based on the analysis results, it sends commands to the device. For example, if it determines that the baby has fallen asleep, it will issue an instruction to stop music playback and temperature adjustment.

[1256] Temperature adjustment means

[1257] The terminal adjusts the temperature of the stuffed toy based on instructions from the server. The stuffed toy has an internal heater and thermostat that maintains the set temperature at human skin temperature (approximately 36.5°C).

[1258] Emotion Engine

[1259] The server is equipped with an emotion engine for recognizing the user's emotions. Specifically, the emotion engine detects emotions by analyzing the user's voice tone, facial expressions, keyboard input, etc. Based on this emotion data, the parameters of the music generation means and temperature control means are dynamically changed.

[1260] Specific examples

[1261] Example of putting a child to bed at 7pm:

[1262] The user opens the app and enters information about their baby (such as the time they started putting their baby to sleep and their recent sleep patterns).

[1263] Based on the information acquired by the server, a new lullaby is generated and sent to the terminal.

[1264] The device plays music, monitors the baby via a camera, and regulates the temperature of the stuffed toy.

[1265] The emotion engine analyzes the user's emotions, and if stress is detected, the system switches to music with a more relaxing effect.

[1266] The device sends data to a server in real time, which then analyzes it to determine the baby's sleep state. When it determines that the baby has fallen asleep, it stops playing music and heating the stuffed toy.

[1267] Nap time example:

[1268] The user launches the app at noon and inputs that it's time for a nap.

[1269] The server uses past nap data to generate new lullabies and sends them to the device.

[1270] The device plays music, the camera monitors the baby, and the stuffed toy's temperature is adjusted accordingly.

[1271] The emotion engine analyzes the user's emotions and, if the sense of security is lacking, sets the temperature of the stuffed toy slightly higher.

[1272] The device sends the acquired data to a server, which analyzes it. If the server determines that the baby has fallen asleep, it stops playing music and adjusting the temperature of the stuffed toy.

[1273] As described above, the present invention is a system that automatically takes appropriate action according to the baby's condition and the user's emotions, thereby significantly reducing the burden on parents and supporting comfortable sleep for babies.

[1274] The processing flow will be explained below.

[1275] Step 1:

[1276] The user launches a dedicated app on their smartphone or tablet and enters information about their baby (age, recent sleep patterns, current time of day, etc.).

[1277] Step 2:

[1278] The device sends the entered information to a server using an internet connection.

[1279] Step 3:

[1280] The server analyzes the received information and generates the optimal lullaby to promote sleep using an algorithm that takes into account the baby's age, past sleep data, and the current time of day.

[1281] Step 4:

[1282] The server creates a music file based on the generated lullaby and sends the file to the terminal.

[1283] Step 5:

[1284] The device will play the music file it has received using either the built-in speaker or an external speaker.

[1285] Step 6:

[1286] The user places the stuffed toy near the baby, and the emotion engine sets the temperature of the stuffed toy based on the user's emotion data analyzed.

[1287] Step 7:

[1288] The device adjusts the temperature of the stuffed animal to the set body temperature. The stuffed animal is equipped with an internal heater and thermostat to maintain the set temperature (approximately 36.5°C).

[1289] Step 8:

[1290] A camera attached to the device captures images of the baby and transmits the images to a server in real time.

[1291] Step 9:

[1292] The server analyzes the video data and determines the baby's sleep state using image processing technology and machine learning algorithms.

[1293] Step 10:

[1294] When the server determines that the baby has fallen asleep, it immediately notifies the device, which includes instructions to stop music playback and to stop adjusting the temperature of the stuffed toy.

[1295] Step 11:

[1296] The device will stop playing music and stop adjusting the temperature of the plush toy. The heater on the plush toy will turn off and the temperature will return to normal.

[1297] Step 12:

[1298] The server notifies the user that the baby has fallen asleep, either via a push notification in the app, SMS, or email.

[1299] Step 13:

[1300] The emotion engine continuously analyzes the user's emotions and adjusts the system accordingly. For example, if the user is feeling stressed, the system may switch to more relaxing music or change the temperature of the stuffed toy.

[1301] These are the specific processing steps of the system, which automatically provides a comfortable sleeping environment for babies and reduces the burden on parents.

[1302] Example 2

[1303] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1304] Optimizing a baby's sleep environment and reducing the burden on parents are important challenges. Conventional systems have difficulty monitoring a baby's condition in real time and adjusting the appropriate music and temperature. Furthermore, systems do not adjust to take parents' emotions into account, resulting in insufficient effectiveness in reducing parental stress. To solve these challenges, a system is needed that can accurately monitor a baby's condition and take appropriate measures in a timely manner.

[1305] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a music generating means, a music playing means, a monitoring means, a transmitting means, a control means, a temperature adjusting means, and an emotion analyzing means. This enables automatic system adjustment based on the baby's condition and the parent's emotion.

[1306] The "music generating means" is a mechanism that generates music to promote sleep in babies.

[1307] The "music playback means" is a mechanism for playing back the generated music.

[1308] A "monitoring means" is a mechanism for monitoring the baby's condition and collecting that data.

[1309] The "transmission means" is a mechanism for transmitting data collected by the monitoring means to a remote computer.

[1310] The "control means" is a mechanism that controls the music playing means and the temperature adjusting means based on data received from a remote computer.

[1311] "Temperature adjustment means" is a mechanism for adjusting the temperature of the stuffed toy.

[1312] The "means for maintaining the temperature" is a mechanism for maintaining the temperature adjusted by the temperature adjustment means constant.

[1313] The "emotion analysis means" is a mechanism that analyzes the user's emotions and dynamically adjusts the system based on the analysis.

[1314] The present invention is a system for effectively promoting sleep in babies. In particular, it incorporates an emotion engine that recognizes the user's emotions and adjusts the system's operation based on those emotions. The specific configuration and operation of this system are described below.

[1315] System configuration

[1316] The system includes the following elements:

[1317] 1. Music Generation Means:

[1318] The server generates lullabies suited to each baby's individual situation based on user input. The software used for music generation is Python machine learning libraries (e.g., TensorFlow) and digital audio workstations (e.g., Ableton Live).

[1319] Example: If you enter "put the baby to bed at 7pm", the server will generate an appropriate lullaby based on this information.

[1320] Example prompt: "Generate a soothing lullaby to lull my baby to sleep."

[1321] 2. Music playback method:

[1322] The device plays the lullaby sent from the server. It can use the built-in speaker or an external speaker (e.g., Sonos speaker). The user starts playback on their smartphone or tablet.

[1323] Example: A lullaby sent from the server arrives at the device, and when the user presses the play button, the music is played from the speaker.

[1324] Example prompt: "Play the lullaby I sent you."

[1325] 3. Monitoring measures:

[1326] A camera (e.g., Logitech C920) installed on the device captures images of the baby and sends the image data to a server in real time. Using a high-resolution camera makes it possible to detect detailed movements.

[1327] Example: A smartphone camera captures a baby's movements and sends the data to a server.

[1328] Example prompt: "Please monitor the baby on camera."

[1329] 4. Means of transmission:

[1330] The device uses Wi-Fi or mobile networks to transmit captured video data and other sensor data to a server.

[1331] Example: Video data acquired by the device is sent to a server via Wi-Fi and used for analysis.

[1332] Example prompt: "Please send the collected data to the server."

[1333] 5. Control measures:

[1334] The server analyzes the received data and determines the baby's sleep state. It uses a machine learning model (e.g., TensorFlow) for the analysis. Based on the analysis results, it sends commands to the device.

[1335] Example: The server analyzes the baby's movements and, if it determines that the baby has fallen asleep, sends a command to the device to stop playing music.

[1336] Example prompt: "Please analyze whether the baby has fallen asleep and give instructions."

[1337] 6. Emotion analysis means:

[1338] The server is equipped with an emotion engine that analyzes the user's voice tone, facial expressions, and keyboard input to recognize emotions. Specifically, the emotion engine uses an emotion analysis API (e.g., Microsoft Azure Emotion API).

[1339] Example: If the system detects that the user is feeling stressed, it will change the music to something more relaxing.

[1340] Sample prompt: "Analyze user sentiment and adjust system settings."

[1341] 7. Temperature adjustment means:

[1342] Based on instructions from the server, the terminal controls the heater and thermostat inside the stuffed animal to adjust the temperature to that of human skin (approximately 36.5°C).

[1343] Example: If the server determines that the baby has fallen asleep, the device will turn off the heater on the stuffed toy.

[1344] Example prompt: "Please set the temperature of the stuffed toy."

[1345] Examples of concrete examples and prompts

[1346] Specific examples of putting children to sleep

[1347] 1. Putting the kids to bed at 7pm

[1348] The user opens the app and enters their baby's information (sleep start time: 7pm, recent sleep patterns).

[1349] The device transmits this information to the server in real time.

[1350] The server generates an appropriate lullaby based on the baby's information.

[1351] The server sends the generated lullaby to the terminal.

[1352] The device plays lullabies and monitors the baby using a camera.

[1353] The device transmits camera images to the server in real time.

[1354] The server analyzes the video data and determines the baby's sleep state.

[1355] The server uses an emotion engine to analyze the user's emotions and adjusts the system settings as needed.

[1356] When the server determines that the baby has fallen asleep, it sends a command to the device to stop playing music and heating the stuffed toy.

[1357] The device will stop playing music and adjusting the temperature.

[1358] Specific examples of naps

[1359] 1. Nap Time

[1360] The user launches the app and enters the time of their nap.

[1361] The device transmits this information to the server in real time.

[1362] The server generates a lullaby based on past data.

[1363] The server sends the generated lullaby to the terminal.

[1364] The device plays lullabies and a camera monitors the baby.

[1365] The device transmits the images captured by the camera to the server in real time.

[1366] The server analyzes the video data and determines the baby's sleep state.

[1367] The server uses an emotion engine to analyze the user's emotions and adjusts the system settings as needed.

[1368] When the server determines that the baby has fallen asleep, it sends a command to the device to stop playing music and heating the stuffed toy.

[1369] The device will stop playing music and adjusting the temperature.

[1370] As described above, the present invention is a system that automatically takes appropriate action according to the baby's condition and the user's emotions, thereby significantly reducing the burden on parents and supporting comfortable sleep for babies.

[1371] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1372] Step 1:

[1373] The user opens the app on their smartphone and enters the baby's information.

[1374] Input: Bedtime start time, recent sleep patterns, etc.

[1375] Specific action: "To put my child to bed at 7pm, I will enter the start time of bedtime and recent sleep patterns."

[1376] Output: Input information data.

[1377] Step 2:

[1378] The terminal transmits the information entered by the user to the server via the network.

[1379] Input: Information data entered by the user.

[1380] Specific operation: "The input information is sent to the server in real time via Wi-Fi."

[1381] Output: Information sent to the server.

[1382] Step 3:

[1383] The server receives the information sent by the user and generates a lullaby based on that information using a generative AI model.

[1384] Input: Information sent to the server.

[1385] Data processing: Using Python machine learning libraries (e.g., TensorFlow), melodies and rhythms are generated using models trained on the baby data.

[1386] Specific Action: "Generate a lullaby suitable for putting a child to bed at 7pm."

[1387] Output: Generated lullaby digital audio file.

[1388] Step 4:

[1389] The server creates the generated lullaby as an audio file and sends it to the device.

[1390] Input: Generated lullaby digital audio file.

[1391] Specific action: "Send the generated lullaby to the device."

[1392] Output: The digital audio file sent to your device.

[1393] Step 5:

[1394] The device receives the lullaby sent from the server and plays it on the smartphone or tablet's built-in speaker or an external speaker.

[1395] Input: Digital audio file sent from the server.

[1396] Specific behavior: "When the user presses the play button, music plays through the speaker."

[1397] Output: Lullaby played over speaker.

[1398] Step 6:

[1399] A camera installed on the device captures video of the baby and sends this video data to a server in real time.

[1400] Input: Video data captured by the camera.

[1401] Specific operation: "Take detailed pictures of the baby's movements with a camera and send the data to a server."

[1402] Output: Video data sent to the server.

[1403] Step 7:

[1404] The server analyzes the received video and sensor data to determine the baby's sleep state.

[1405] Input: Video and sensor data sent to the server.

[1406] Data Computing: Using machine learning models (e.g. TensorFlow) to analyze baby movement patterns.

[1407] Specific operation: "Analyze video data and determine the baby's sleep state."

[1408] Output: Sleep state analysis results.

[1409] Step 8:

[1410] The server uses an emotion engine to analyze the user's emotions and recognize the user's tone of voice, facial expressions, and keyboard input.

[1411] Input: User's voice tone, facial expressions, and keyboard input data.

[1412] Data calculation: Recognize user emotions using emotion analysis APIs (e.g., Microsoft Azure Emotion API).

[1413] Specific behavior: "Analyze user sentiment and adjust system settings as needed."

[1414] Output: Emotion analysis results.

[1415] Step 9:

[1416] If the server determines that the baby has fallen asleep, it sends a command to the device to stop playing music and to stop adjusting the temperature of the stuffed toy.

[1417] Input: Sleep state analysis results.

[1418] Specific behavior: "When it determines that the baby has fallen asleep, it sends a command to the device to stop playing music."

[1419] Output: Control instructions sent to the terminal.

[1420] Step 10:

[1421] The device receives a stop command from the server and stops playing music and adjusting the temperature of the stuffed animal.

[1422] Input: Control command sent from the server.

[1423] Action: "Stop music playback and thermostat adjustment."

[1424] Output: Stopped music playback and temperature adjustment.

[1425] (Application example 2)

[1426] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1427] Existing systems for promoting baby sleep have the ability to monitor the baby's condition and adjust music and environmental settings, but there are no systems that take into account the emotional state of parents and workers. Such a system would reduce stress not only for the baby but also for the parents and workers working in the environment, improving overall work efficiency and quality of life. Furthermore, there is a need for an improved user experience by providing appropriate suggestions based on emotions.

[1428] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1429] In this invention, the server includes a music generating means, a music playing means, a monitoring means, a transmitting means, a control means, a temperature adjusting means, an emotion recognizing means, and a suggesting means, which not only promotes the baby's sleep but also makes it possible to recognize the emotional state of the operator in real time and set the environment and make suggestions according to that emotion.

[1430] The "music generating means" is a means for generating music according to the individual situation and state of the baby in order to promote the baby's sleep.

[1431] The "music reproducing means" is a means for reproducing the music generated by the music generating means.

[1432] The "monitoring means" is a means for monitoring the state of the baby in relation to the music playing means and collecting necessary data.

[1433] The "transmission means" is a means for transmitting data generated based on the baby's condition to a remote server.

[1434] The "control means" is a means for controlling the music playback means and the temperature adjustment means based on data received from a remote server.

[1435] "Temperature adjustment means" is a means for adjusting the temperature of the stuffed animal.

[1436] The "emotion recognition means" is a means for recognizing the emotions of workers and parents in real time and analyzing them as data.

[1437] The "suggestion means" is a means for analyzing the emotion data acquired by the emotion recognition means and proposing the most suitable actions and environmental settings to the worker or parent as necessary.

[1438] "Baby status" refers to the baby's physical and physiological state, such as whether they are awake or asleep.

[1439] "Emotional state" refers to the worker's or parent's current feelings, such as mental state, such as stress, fatigue, happiness, etc.

[1440] This invention provides a system for promoting sleep in babies, recognizing the emotional state of workers and parents in real time, and suggesting optimal environments. The system components include a music generation unit, a music playback unit, a monitoring unit, a transmission unit, a control unit, a temperature adjustment unit, an emotion recognition unit, and a suggestion unit.

[1441] Specifically, the server uses a music generator to generate music to promote sleep for the baby. This music is customized based on the baby's individual situation and constructed as a digital audio file. The music is generated using an algorithm that takes into account the baby's age, past sleep patterns, the current time of day, etc.

[1442] The generated music file is sent to the device and played by the music player. The built-in speaker or an external speaker can be used to play the music near the baby, with the aim of promoting sleep. The user can start playback and monitor the baby using a smartphone or tablet.

[1443] As a monitoring method, a camera installed on the device captures images of the baby, and this video data is sent to a server in real time. The high-resolution camera can detect the baby's movements in detail, and the video data is used to accurately grasp the baby's condition.

[1444] This video data and other sensor data are sent to a server via a transmission means. The server analyzes the data and determines the baby's sleep state and environmental conditions. Based on the analysis results, the control means issues instructions to the music player and temperature control means. For example, if it determines that the baby has fallen asleep, it sends a command to stop music playback and temperature control.

[1445] The emotion recognition means is a means for recognizing the user's emotions in real time. It detects the user's emotions by analyzing voice tone, facial expressions, keyboard input, etc., and dynamically changes the parameters of the music generation means and temperature control means based on that data. This allows the system's operation to be optimized according to the user's emotional state.

[1446] A concrete example of the system's behavior based on emotion data is that if a worker is feeling stressed, it will automatically suggest taking a break and adjust the temperature of the work environment. The following prompt sentences are used as examples of inputs to the generative AI model:

[1447] Worker Emotion Recognition Results: Stress

[1448] Suggestion: Suggest breaks and lower the temperature in the factory by 2 degrees.

[1449] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1450] Step 1:

[1451] The user launches the application

[1452] The user opens the application on a device such as a smartphone or tablet. They input information about their baby (such as age, recent sleep patterns, and desired time for putting the baby to sleep). The input data is saved on the device and used as the basis for generating music. Specifically, the information entered by the user is recorded in the device's local database, and an initialization process is performed.

[1453] Step 2:

[1454] The server generates the music

[1455] The device transmits the baby's stored information to the server via a transmission means. The server then uses a music generation means to generate music suited to the baby's individual situation. Here, an algorithm analyzes past data, time of day, etc. to create the optimal melody and rhythm. The generated music is then compiled into a digital audio file, which is then sent back to the device.

[1456] Step 3:

[1457] The device plays music

[1458] The digital audio file sent to the device is played using the music playback means. The sound is output through the speaker (built-in or external) set by the user, and the lullaby plays near the baby. During playback, real-time monitoring is performed, allowing the user to check the playback status via the device. Specifically, the music playback software analyzes the audio file and outputs it to the speaker.

[1459] Step 4:

[1460] Monitoring the baby's condition through monitoring means

[1461] A camera installed on the terminal captures video of the baby. The captured video data is sent to the server via a transmission means. Other sensors (for example, temperature sensors and motion sensors) also acquire data on the baby's condition in real time and send it in the same way. The input is video data and sensor data, and the output is data sent to the server.

[1462] Step 5:

[1463] Server-based data analysis and control

[1464] The transmitted video data and sensor data are analyzed to determine the baby's condition. For example, the analysis engine determines whether the baby has fallen asleep, and based on that result, it issues instructions to the device through the control means. These instructions include stopping music playback and adjusting the temperature. The analysis algorithm processes the data and generates control commands.

[1465] Step 6:

[1466] Emotion analysis of users using emotion recognition methods

[1467] Data such as voice tone, facial expressions, and keyboard input is analyzed by the emotion recognition means to determine the user's emotional state. The emotion data is sent to a server, and parameters for the music generation means and temperature control means are dynamically changed based on the analysis. For example, if the user is feeling stressed, music can be switched to one with a more relaxing effect. The input is the user's emotion data, and the output is the analysis result.

[1468] Step 7:

[1469] Proposal to the user through suggestion means

[1470] Based on the analyzed emotional data, the system will suggest optimal actions and environmental settings to the user as needed. For example, if stress levels are high, the system will suggest taking a break and prompt the user to adjust their work environment. Specific prompts will also be generated and notified to the user. This response reduces the user's stress and maintains an efficient environment. The input is the result of analyzing the emotional data, and the output is suggestions to the user.

[1471] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1472] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1473] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1474] [Fourth embodiment]

[1475] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1476] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1477] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1478] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1479] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1480] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1481] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1482] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1483] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1484] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1485] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1486] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1487] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1488] The present invention is a system for effectively promoting sleep in babies, and is configured as follows.

[1489] Overall system configuration

[1490] The system includes a music generating means, a music playing means, a monitoring means, a transmitting means, a control means, a temperature adjusting means, and a stuffed toy, which work together to optimize the baby's sleeping environment.

[1491] Music Generation Means

[1492] The server generates lullabies tailored to each baby's individual needs based on user input. Specifically, it uses algorithms to create optimal melodies and rhythms based on information such as the baby's age, past sleep patterns, and the current time of day. The music is then generated as a digital audio file and sent to the device.

[1493] Music playback means

[1494] The device plays the lullaby sent from the server. The music playback means plays music near the baby through a speaker to promote sleep. The user can start playback and monitor the sound using a smartphone or tablet.

[1495] monitoring means

[1496] The device is equipped with a camera that captures the baby's condition in real time. The camera has high resolution and can capture the baby's movements in detail. This video data is used to accurately understand the baby's condition.

[1497] Transmission method

[1498] The captured video data and other sensor data are transmitted from the device to a server. The transmission means has a function of reliably delivering the data to the server using a network connection.

[1499] Control means

[1500] The server analyzes the data and determines the baby's sleep state. Based on the analysis results, it sends commands to the device. For example, if it determines that the baby has fallen asleep, it stops playing music and instructs the device to adjust the temperature of the stuffed toy.

[1501] Temperature adjustment means

[1502] The terminal adjusts the temperature of the stuffed toy based on instructions from the server. The stuffed toy has an internal heater that keeps it at body temperature (approximately 36.5°C) to give the baby a sense of comfort. The temperature adjustment means uses a sensor to maintain the temperature within a certain range.

[1503] Specific examples

[1504] Example of putting a child to bed at 7pm:

[1505] The user opens the app on their smartphone and enters information about their baby (such as the time they started putting their baby to sleep and their recent sleep patterns).

[1506] Based on the information acquired by the server, a new lullaby is generated and sent to the terminal.

[1507] The device plays music, monitors the baby via a camera, and regulates the temperature of the stuffed toy.

[1508] The device sends data to a server in real time, which then analyzes it to determine the baby's sleep state. When it determines that the baby has fallen asleep, it stops playing music and heating the stuffed toy.

[1509] Nap time example:

[1510] The user launches the app at noon and inputs that it's time for a nap.

[1511] The server generates a new lullaby based on past nap data and sends it to the device.

[1512] The device plays music, the camera monitors the baby, and the stuffed toy's temperature is adjusted accordingly.

[1513] The device sends the acquired data to a server, which analyzes it. If the server determines that the baby has fallen asleep, it stops playing music and adjusting the temperature of the stuffed toy.

[1514] As described above, the present invention is a system that automatically takes appropriate action according to the baby's condition, greatly reducing the burden on parents and supporting comfortable sleep for babies.

[1515] The processing flow will be explained below.

[1516] Step 1:

[1517] The user launches a dedicated app on their smartphone or tablet and enters information about their baby (age, recent sleep patterns, current time of day, etc.).

[1518] Step 2:

[1519] The device sends the entered information to a server using an internet connection.

[1520] Step 3:

[1521] The server analyzes the received information and generates the optimal lullaby to promote sleep for the baby, using an algorithm that takes into account the baby's age, past sleep data, and the current time of day.

[1522] Step 4:

[1523] The server creates a digital audio file of the generated lullaby and transmits the file to the terminal.

[1524] Step 5:

[1525] Plays audio files received by the device, either through the built-in speaker or an external speaker.

[1526] Step 6:

[1527] The user places the stuffed toy near the baby and receives instructions from the device to turn on the stuffed toy and set it to body temperature.

[1528] Step 7:

[1529] The device adjusts the temperature of the stuffed animal to human skin temperature, and the stuffed animal has a built-in heater and thermostat to maintain a set temperature of 36.5°C.

[1530] Step 8:

[1531] A camera installed in the device captures video of the baby and sends the video data to a server in real time, recording in detail the baby's movements, eye opening and closing, breathing rhythm, and more.

[1532] Step 9:

[1533] The server analyzes the received video data and determines the baby's sleep state using image processing technology and machine learning algorithms.

[1534] Step 10:

[1535] When the server determines that the baby has fallen asleep, it immediately notifies the device, which includes instructions to stop music playback and to stop adjusting the temperature of the stuffed toy.

[1536] Step 11:

[1537] The device will stop playing music and stop adjusting the plush toy's temperature. The plush toy's heater will turn off and the temperature will return to normal.

[1538] Step 12:

[1539] The server notifies the user that the baby has fallen asleep via push notification, SMS, or email.

[1540] The above are the specific processing steps of the system, which automatically provide a comfortable sleeping environment for the baby.

[1541] Example 1

[1542] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1543] While there are many ways to promote baby sleep, managing a baby's sleep can be a significant burden for today's busy parents. Manual tasks such as selecting and playing effective lullabies and monitoring the baby's condition can be time-consuming and labor-intensive. Therefore, there is a need for an automated system that helps parents optimize their baby's sleep environment and ensure comfortable sleep.

[1544] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1545] In this invention, the server includes a music generating means for generating a lullaby based on information about the baby provided by the user, a control means for analyzing data sent to the remote server and determining the baby's sleeping state, and a temperature adjusting means for adjusting the temperature of the stuffed toy based on the baby's state. This reduces the burden on the user and enables a system that automatically supports a comfortable sleep for the baby.

[1546] "User" refers to the parent or guardian who uses the system and enters information about their baby.

[1547] "Baby" refers to children whose sleep environment is being optimized.

[1548] "Information" refers to data including the baby's age, past sleep patterns, current time of day, etc.

[1549] "Music generation means" refers to the function that uses AI to generate lullabies based on information provided by the user.

[1550] "Lullaby" refers to music in audio file format that promotes sleep in babies.

[1551] "Music playback means" refers to a device that plays the generated lullaby through a speaker or the like.

[1552] "Terminal" refers to a device, such as a smartphone or tablet, that is equipped with means for operating and monitoring music playback means.

[1553] "Camera" refers to an image capture device that captures the baby's condition in real time.

[1554] "Monitoring means" refers to the function of monitoring the baby's condition in real time using a camera.

[1555] The "transmission means" refers to a function for transmitting data acquired by the monitoring means to a remote server.

[1556] "Server" refers to a central management device that manages the entire system and performs data analysis and control instructions.

[1557] "Control means" refers to a function that controls the music playback means and the temperature adjustment means based on data received from the server.

[1558] "Temperature adjustment means" refers to the function of adjusting the temperature of the stuffed animal according to the baby's condition.

[1559] A "stuffed toy" is an item that has a built-in heater inside to give babies a sense of security.

[1560] "Data" refers to information including the baby's condition and sleep status.

[1561] "Analysis" refers to the process by which the server determines the baby's sleep state based on the data sent.

[1562] This invention is a system for effectively promoting a baby's sleep. The system includes a music generating means, a music playing means, a monitoring means, a transmitting means, a control means, a temperature adjusting means, and a stuffed toy. These elements work together to optimize the baby's sleep environment.

[1563] Music Generation Means

[1564] The server receives information about the baby provided by the user, such as age, past sleep patterns, and current time of day. Using a generative AI model on the server, it generates a lullaby tailored to the baby's needs. The generated music file is saved in digital audio format.

[1565] Specific examples:

[1566] Once the user inputs information such as the baby's age (6 months), recent sleep patterns (3 wake-ups between 7pm and 7am), and the current time of day (7pm), the server uses a generative AI model to construct a soothing lullaby melody.

[1567] Music playback means

[1568] The device receives lullabies sent from the server, decodes the received music files, and plays them near the baby through a speaker. The user can then start playback and monitor the sound using a smartphone or tablet.

[1569] monitoring means

[1570] The device is equipped with a high-resolution camera that captures the baby's movements in real time and temporarily stores the video data, which is used to closely monitor the baby's condition.

[1571] Transmission method

[1572] The device transmits the captured video data and other sensor data to the server via a network connection, compressing the data to ensure reliable transmission.

[1573] Control means

[1574] The server analyzes the received data and determines the baby's sleep state. For example, if it determines that the baby has fallen asleep, the server sends a command to the device to stop playing music. At the same time, it also sends a command to adjust the temperature of the stuffed toy.

[1575] Temperature adjustment means

[1576] The terminal adjusts the temperature of the stuffed toy based on instructions from the server. The stuffed toy is equipped with an internal heater and is kept at the temperature of human skin (approximately 36.5°C). The temperature adjustment means uses a sensor to maintain the temperature of the stuffed toy within a certain range.

[1577] Specific examples

[1578] Example of putting a child to bed at 7pm:

[1579] 1. The user enters information about their baby (such as the time the baby was put to sleep and recent sleep patterns) into a smartphone app.

[1580] 2. The server generates a new lullaby based on this information and sends it to the device.

[1581] 3. The device will play music, monitor your baby with a camera, and adjust the temperature of the stuffed toy accordingly.

[1582] 4. The device sends the data to the server in real time, and the server analyzes the data to determine the baby's sleep state. If it determines that the baby has fallen asleep, it stops playing music and adjusting the temperature of the stuffed toy.

[1583] Examples of naps:

[1584] 1. The user launches the app at noon and inputs that it is time for a nap.

[1585] 2. The server generates a new lullaby based on past nap data and sends it to the device.

[1586] 3. The device will play music, the camera will monitor the baby, and the temperature of the stuffed toy will be adjusted accordingly.

[1587] 4. The device sends the acquired data to the server, and when the server analyzes the data and determines that the baby has fallen asleep, it stops playing music and adjusting the temperature of the stuffed toy.

[1588] Prompt Sentence Examples

[1589] "Generate appropriate lullabies based on your baby's current age and recent sleep patterns."

[1590] "Analyze the baby's sleep state based on the video data captured by the camera and report the results."

[1591] "Once you determine your baby has fallen asleep, stop playing the lullaby and adjust the temperature of the stuffed toy appropriately."

[1592] This system significantly reduces the burden on the user and provides a series of automated processes to support comfortable sleep for babies.

[1593] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1594] Step 1:

[1595] The user enters the baby's information.

[1596] Specifically, the user launches a dedicated smartphone app and inputs information such as the baby's age, past sleep patterns, and the current time of day. The input data becomes the basis for the system to generate lullabies.

[1597] Input: Data such as baby's age, past sleep patterns, and current time of day.

[1598] Output: Baby information sent to the server.

[1599] Step 2:

[1600] The server generates the lullaby.

[1601] Specifically, the server uses a generative AI model to generate an optimal lullaby based on the received baby information, constructing melodies and rhythms based on the baby's age and sleep patterns, and saving the generated music file in digital audio format.

[1602] Input: Baby information.

[1603] Output: A digital audio file of the generated lullaby.

[1604] Data processing: Creating music data using a generative AI model.

[1605] Step 3:

[1606] The server sends the generated lullaby to the device.

[1607] Specifically, the server sends the generated music file to the device as a data packet over the Internet, and confirms that the device has received the data.

[1608] Input: A digital audio file of the generated lullaby.

[1609] Output: The music file sent to your device.

[1610] Step 4:

[1611] The device plays a lullaby.

[1612] Specifically, the device decodes the received music file and plays it through the speaker, while the user controls and monitors the playback using a smartphone or tablet.

[1613] Input: Digital audio file sent from the server.

[1614] Output: Music played through the speakers.

[1615] Data processing: Decode and play music files.

[1616] Step 5:

[1617] The device monitors the baby's condition.

[1618] Specifically, a high-resolution camera captures the baby's movements in real time and temporarily stores the video data.

[1619] Input: Video data acquired through a camera.

[1620] Output: Temporarily stored video data.

[1621] Step 6:

[1622] The device transmits the monitoring data to the server.

[1623] Specifically, the device compresses the captured video data and other sensor data and transmits it to a server via a network.

[1624] Input: Video data, sensor data.

[1625] Output: Data packets sent to the server.

[1626] Step 7:

[1627] The server analyzes the data and determines the baby's sleep state.

[1628] Specifically, the server analyzes the received data and determines whether the baby has fallen asleep, using a machine learning algorithm.

[1629] Input: Video data and sensor data sent from the device.

[1630] Output: Sleep state analysis results.

[1631] Data processing: Analyzing data using machine learning algorithms.

[1632] Step 8:

[1633] The server sends control instructions to the terminal.

[1634] Specifically, based on the sleep state assessment results, the server sends instructions to the device, such as stopping music playback or adjusting the temperature of the stuffed toy.

[1635] Input: Sleep state analysis results.

[1636] Output: Control instructions sent to the terminal.

[1637] Step 9:

[1638] The terminal executes the control instruction.

[1639] Specifically, the device follows the control instructions received from the server to stop music playback and adjust the heater of the stuffed toy.

[1640] Input: Control instructions from the server.

[1641] Output: Stops music and adjusts the temperature of the plush toy.

[1642] (Application example 1)

[1643] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1644] In modern homes, effectively promoting a baby's sleep requires a lot of effort and time. Parents have to constantly monitor their baby's condition and manually adjust the appropriate music and temperature, placing a heavy burden on parents. Furthermore, there is a lack of customized sleep promotion strategies tailored to each baby's individual circumstances, and a one-size-fits-all approach prevents babies from getting a good night's sleep.

[1645] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1646] In this invention, the server includes a music generation means for promoting sleep of the baby, a music playback means for playing music generated by the music generation means, a monitoring means for monitoring the baby's condition related to the music playback means, a transmission means for transmitting data generated based on the baby's condition to a remote server, a control means for controlling the music playback means and the temperature adjustment means of the stuffed animal based on data received from the remote server, a temperature adjustment means for adjusting the temperature of the stuffed animal, a means for maintaining the temperature adjusted by the temperature adjustment means, a generative AI model for generating customized lullabies based on baby information input by a user, and a smartphone application for controlling music playback, monitoring, data processing, and temperature adjustment. This allows the system to automatically take optimal measures according to the baby's individual condition, reducing the burden on parents and promoting comfortable sleep for the baby.

[1647] The "music generation means" is a technology that generates the optimal lullaby according to the individual situation of the baby.

[1648] "Music playback means" refers to a technique for playing back the generated lullaby via a speaker or the like.

[1649] "Monitoring means" refers to technology that monitors the baby's condition in real time and collects data.

[1650] "Transmission means" refers to the technology used to transmit collected data to a remote server.

[1651] The "control means" is a technology that controls the music playback means and temperature adjustment means based on data received from the server.

[1652] "Temperature adjustment means" refers to technology that adjusts the temperature of the stuffed animal to a temperature suitable for the baby.

[1653] "Means for maintaining temperature" refers to technology for maintaining a temperature that has been adjusted for a certain period of time.

[1654] A "generative AI model" is an artificial intelligence algorithm that generates customized lullabies based on information about the baby entered by the user.

[1655] "Smartphone application" refers to smartphone software that has the functions of music playback, monitoring, data processing, and temperature control and that can be operated by the user.

[1656] The present invention is a system for effectively promoting a baby's sleep, and includes a music generating means, a music playing means, a monitoring means, a transmitting means, a control means, a temperature adjusting means, and a smartphone application. These elements work together to optimize the baby's sleep environment.

[1657] Overall system configuration

[1658] The system consists of the following main elements:

[1659] 1. Music Generation Means:

[1660] The server generates lullabies tailored to each baby's individual needs based on user input. Specifically, it uses a generative AI model to build optimal melodies and rhythms, taking into account the baby's age, past sleep patterns, and current time of day. This music is then generated as a digital audio file and sent to the device.

[1661] 2. Music playback method:

[1662] The device plays the lullaby sent from the server. The music playback means plays music near the baby through a speaker to promote sleep. The user can start playback and monitor the sound using a smartphone or tablet.

[1663] 3. Monitoring measures:

[1664] The device is equipped with a camera that captures the baby's condition in real time. The camera has high resolution and can capture the baby's movements in detail. This video data is used to accurately understand the baby's condition.

[1665] 4. Means of transmission:

[1666] The captured video data and other sensor data are transmitted from the device to a server. The transmission means has a function of reliably delivering the data to the server using a network connection.

[1667] 5. Control measures:

[1668] The server analyzes the data and determines the baby's sleep state. Based on the analysis results, it sends commands to the device. For example, if it determines that the baby has fallen asleep, it stops playing music and instructs the device to adjust the temperature of the stuffed toy.

[1669] 6. Temperature adjustment means:

[1670] The terminal adjusts the temperature of the stuffed toy based on instructions from the server. The stuffed toy has an internal heater that keeps it at body temperature (approximately 36.5°C) to give the baby a sense of comfort. The temperature adjustment means uses a sensor to maintain the temperature within a certain range.

[1671] 7. Smartphone applications:

[1672] An application for controlling music playback, monitoring, data processing, and temperature adjustment is installed on a smartphone, through which the user can input the baby's information and operate and monitor the entire system.

[1673] Specific examples

[1674] Example of putting a child to bed at 7pm:

[1675] The user opens the app on their smartphone and enters information about their baby (such as the time they started putting their baby to sleep and their recent sleep patterns).

[1676] Based on the information acquired by the server, a new lullaby is generated and sent to the terminal.

[1677] The device plays music, monitors the baby via a camera, and regulates the temperature of the stuffed toy.

[1678] The device sends data to a server in real time, which then analyzes it to determine the baby's sleep state. When it determines that the baby has fallen asleep, it stops playing music and heating the stuffed toy.

[1679] Nap time example:

[1680] The user launches the app at noon and inputs that it's time for a nap.

[1681] The server generates a new lullaby based on past nap data and sends it to the device.

[1682] The device plays music, the camera monitors the baby, and the stuffed toy's temperature is adjusted accordingly.

[1683] The device sends the acquired data to a server, which analyzes it. If the server determines that the baby has fallen asleep, it stops playing music and adjusting the temperature of the stuffed toy.

[1684] Prompt Sentence Examples

[1685] "Please tell us the specific specifications of the baby care system app. We would like to provide prompts for the application, including functions aimed at promoting baby sleep (music generation, monitoring, real-time data processing, temperature control, etc.)."

[1686] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1687] Step 1:

[1688] The user opens the app on their smartphone and enters information about their baby (time to start putting them to sleep, recent sleep patterns, age, etc.), which allows the application to collect basic information about the baby.

[1689] Input: Baby's age, sleep patterns, current time of day, etc.

[1690] Output: Request data created based on user input information.

[1691] Specific behavior: The application displays an information entry screen through the user interface, and the user enters the information.

[1692] Step 2:

[1693] The server receives the baby information sent by the user and uses a generative AI model to generate the optimal lullaby.

[1694] Input: User-entered information.

[1695] Output: A digital audio file of your customized lullaby.

[1696] What it does: The server uses the generative AI model to run an algorithm that generates a lullaby based on information like the baby's age, past sleep patterns, and time of day.

[1697] Step 3:

[1698] The server transmits the generated digital audio file of the lullaby to the terminal.

[1699] Input: A digital audio file of a customized lullaby.

[1700] Output: The lullaby file sent to the device.

[1701] Specific operation: The server sends a data file to the terminal via the network.

[1702] Step 4:

[1703] The device receives the lullaby and plays it through a speaker, while simultaneously monitoring the baby's movements using a camera installed on the device.

[1704] Input: Received digital audio file of lullaby and video data of baby.

[1705] Output: Played lullaby and collected video data.

[1706] What happens: The device launches a music playback application and uses the camera to capture real-time footage of the baby.

[1707] Step 5:

[1708] The device sends the collected video data and other sensor data to a server.

[1709] Input: Baby video and sensor data.

[1710] Output: Video and sensor data sent to the server.

[1711] Specific operation: The device sends data to the server via the network.

[1712] Step 6:

[1713] The server analyzes the transmitted data and determines whether the baby has fallen asleep.

[1714] Input: Collected video and sensor data.

[1715] Output: Baby's sleep state judgment result.

[1716] How it works: The server runs a data analysis algorithm to detect the baby's movements, vibrations, etc. to assess their sleep state.

[1717] Step 7:

[1718] When the server determines that the baby has fallen asleep, it sends an instruction to the terminal to stop the music playing means and the stuffed toy temperature adjusting means.

[1719] Input: Baby's sleep state judgment results.

[1720] Output: Instructions to stop music playback and temperature adjustment.

[1721] Specific operation: The server sends a signal to the device to terminate the music playback application and a signal to stop the temperature control system.

[1722] Step 8:

[1723] The device receives instructions from the server, stops the music playback, and adjusts the temperature of the stuffed animal to keep it at an appropriate level.

[1724] Input: Stop signal from the server.

[1725] Output: Stopped music playback and adjusted plush toy temperature.

[1726] Specific behavior: The device stops music playback applications and stops or adjusts the temperature control system.

[1727] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1728] The present invention is a system for effectively promoting sleep in babies, and in particular incorporates an emotion engine that recognizes the user's emotions and adjusts the system's operation based on those emotions. The specific configuration and operation of the system are described below.

[1729] Overall system configuration

[1730] The system includes a music generating means, a music playing means, a monitoring means, a transmitting means, a control means, a temperature adjusting means, and an emotion engine, which work together to optimize the baby's sleep environment and take into account the parent's emotions.

[1731] Music Generation Means

[1732] The server generates lullabies tailored to each baby's individual needs based on user input, using algorithms to construct melodies and rhythms that take into account factors such as the baby's age, past sleep patterns, and the current time of day. The generated music is then created as a digital audio file and sent to the device.

[1733] Music playback means

[1734] The device plays lullabies sent from the server. The playback is performed using the built-in speaker or an external speaker, and the music is played near the baby to promote sleep. The user can start playback and monitor the music using a smartphone or tablet.

[1735] monitoring means

[1736] The camera installed on the device captures images of the baby and sends the video data to a server in real time. The high-resolution camera can detect the baby's movements in detail. This data is used to accurately understand the baby's condition.

[1737] Transmission method

[1738] Captured video data and other sensor data are transmitted from the device to a server over a network connection, where the data is analyzed.

[1739] Control means

[1740] The server analyzes the data and determines the baby's sleep state. Based on the analysis results, it sends commands to the device. For example, if it determines that the baby has fallen asleep, it will issue an instruction to stop music playback and temperature adjustment.

[1741] Temperature adjustment means

[1742] The terminal adjusts the temperature of the stuffed toy based on instructions from the server. The stuffed toy has an internal heater and thermostat that maintains the set temperature at human skin temperature (approximately 36.5°C).

[1743] Emotion Engine

[1744] The server is equipped with an emotion engine for recognizing the user's emotions. Specifically, the emotion engine detects emotions by analyzing the user's voice tone, facial expressions, keyboard input, etc. Based on this emotion data, the parameters of the music generation means and temperature control means are dynamically changed.

[1745] Specific examples

[1746] Example of putting a child to bed at 7pm:

[1747] The user opens the app and enters information about their baby (such as the time they started putting their baby to sleep and their recent sleep patterns).

[1748] Based on the information acquired by the server, a new lullaby is generated and sent to the terminal.

[1749] The device plays music, monitors the baby via a camera, and regulates the temperature of the stuffed toy.

[1750] The emotion engine analyzes the user's emotions, and if stress is detected, the system switches to music with a more relaxing effect.

[1751] The device sends data to a server in real time, which then analyzes it to determine the baby's sleep state. When it determines that the baby has fallen asleep, it stops playing music and heating the stuffed toy.

[1752] Nap time example:

[1753] The user launches the app at noon and inputs that it's time for a nap.

[1754] The server uses past nap data to generate new lullabies and sends them to the device.

[1755] The device plays music, the camera monitors the baby, and the stuffed toy's temperature is adjusted accordingly.

[1756] The emotion engine analyzes the user's emotions and, if the sense of security is lacking, sets the temperature of the stuffed toy slightly higher.

[1757] The device sends the acquired data to a server, which analyzes it. If the server determines that the baby has fallen asleep, it stops playing music and adjusting the temperature of the stuffed toy.

[1758] As described above, the present invention is a system that automatically takes appropriate action according to the baby's condition and the user's emotions, thereby significantly reducing the burden on parents and supporting comfortable sleep for babies.

[1759] The processing flow will be explained below.

[1760] Step 1:

[1761] The user launches a dedicated app on their smartphone or tablet and enters information about their baby (age, recent sleep patterns, current time of day, etc.).

[1762] Step 2:

[1763] The device sends the entered information to a server using an internet connection.

[1764] Step 3:

[1765] The server analyzes the received information and generates the optimal lullaby to promote sleep using an algorithm that takes into account the baby's age, past sleep data, and the current time of day.

[1766] Step 4:

[1767] The server creates a music file based on the generated lullaby and sends the file to the terminal.

[1768] Step 5:

[1769] The device will play the music file it has received using either the built-in speaker or an external speaker.

[1770] Step 6:

[1771] The user places the stuffed toy near the baby, and the emotion engine sets the temperature of the stuffed toy based on the user's emotion data analyzed.

[1772] Step 7:

[1773] The device adjusts the temperature of the stuffed animal to the set body temperature. The stuffed animal is equipped with an internal heater and thermostat to maintain the set temperature (approximately 36.5°C).

[1774] Step 8:

[1775] A camera attached to the device captures images of the baby and transmits the images to a server in real time.

[1776] Step 9:

[1777] The server analyzes the video data and determines the baby's sleep state using image processing technology and machine learning algorithms.

[1778] Step 10:

[1779] When the server determines that the baby has fallen asleep, it immediately notifies the device, which includes instructions to stop music playback and to stop adjusting the temperature of the stuffed toy.

[1780] Step 11:

[1781] The device will stop playing music and stop adjusting the temperature of the plush toy. The heater on the plush toy will turn off and the temperature will return to normal.

[1782] Step 12:

[1783] The server notifies the user that the baby has fallen asleep, either via a push notification in the app, SMS, or email.

[1784] Step 13:

[1785] The emotion engine continuously analyzes the user's emotions and adjusts the system accordingly. For example, if the user is feeling stressed, the system may switch to more relaxing music or change the temperature of the stuffed toy.

[1786] These are the specific processing steps of the system, which automatically provides a comfortable sleeping environment for babies and reduces the burden on parents.

[1787] Example 2

[1788] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1789] Optimizing a baby's sleep environment and reducing the burden on parents are important challenges. Conventional systems have difficulty monitoring a baby's condition in real time and adjusting the appropriate music and temperature. Furthermore, systems do not adjust to take parents' emotions into account, resulting in insufficient effectiveness in reducing parental stress. To solve these challenges, a system is needed that can accurately monitor a baby's condition and take appropriate measures in a timely manner.

[1790] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a music generating means, a music playing means, a monitoring means, a transmitting means, a control means, a temperature adjusting means, and an emotion analyzing means. This enables automatic system adjustment based on the baby's condition and the parent's emotion.

[1791] The "music generating means" is a mechanism that generates music to promote sleep in babies.

[1792] The "music playback means" is a mechanism for playing back the generated music.

[1793] A "monitoring means" is a mechanism for monitoring the baby's condition and collecting that data.

[1794] The "transmission means" is a mechanism for transmitting data collected by the monitoring means to a remote computer.

[1795] The "control means" is a mechanism that controls the music playing means and the temperature adjusting means based on data received from a remote computer.

[1796] "Temperature adjustment means" is a mechanism for adjusting the temperature of the stuffed toy.

[1797] The "means for maintaining the temperature" is a mechanism for maintaining the temperature adjusted by the temperature adjustment means constant.

[1798] The "emotion analysis means" is a mechanism that analyzes the user's emotions and dynamically adjusts the system based on the analysis.

[1799] The present invention is a system for effectively promoting sleep in babies. In particular, it incorporates an emotion engine that recognizes the user's emotions and adjusts the system's operation based on those emotions. The specific configuration and operation of this system are described below.

[1800] System configuration

[1801] The system includes the following elements:

[1802] 1. Music Generation Means:

[1803] The server generates lullabies suited to each baby's individual situation based on user input. The software used for music generation is Python machine learning libraries (e.g., TensorFlow) and digital audio workstations (e.g., Ableton Live).

[1804] Example: If you enter "put the baby to bed at 7pm", the server will generate an appropriate lullaby based on this information.

[1805] Example prompt: "Generate a soothing lullaby to lull my baby to sleep."

[1806] 2. Music playback method:

[1807] The device plays the lullaby sent from the server. It can use the built-in speaker or an external speaker (e.g., Sonos speaker). The user starts playback on their smartphone or tablet.

[1808] Example: A lullaby sent from the server arrives at the device, and when the user presses the play button, the music is played from the speaker.

[1809] Example prompt: "Play the lullaby I sent you."

[1810] 3. Monitoring measures:

[1811] A camera (e.g., Logitech C920) installed on the device captures images of the baby and sends the image data to a server in real time. Using a high-resolution camera makes it possible to detect detailed movements.

[1812] Example: A smartphone camera captures a baby's movements and sends the data to a server.

[1813] Example prompt: "Please monitor the baby on camera."

[1814] 4. Means of transmission:

[1815] The device uses Wi-Fi or mobile networks to transmit captured video data and other sensor data to a server.

[1816] Example: Video data acquired by the device is sent to a server via Wi-Fi and used for analysis.

[1817] Example prompt: "Please send the collected data to the server."

[1818] 5. Control measures:

[1819] The server analyzes the received data and determines the baby's sleep state. It uses a machine learning model (e.g., TensorFlow) for the analysis. Based on the analysis results, it sends commands to the device.

[1820] Example: The server analyzes the baby's movements and, if it determines that the baby has fallen asleep, sends a command to the device to stop playing music.

[1821] Example prompt: "Please analyze whether the baby has fallen asleep and give instructions."

[1822] 6. Emotion analysis means:

[1823] The server is equipped with an emotion engine that analyzes the user's voice tone, facial expressions, and keyboard input to recognize emotions. Specifically, the emotion engine uses an emotion analysis API (e.g., Microsoft Azure Emotion API).

[1824] Example: If the system detects that the user is feeling stressed, it will change the music to something more relaxing.

[1825] Sample prompt: "Analyze user sentiment and adjust system settings."

[1826] 7. Temperature adjustment means:

[1827] Based on instructions from the server, the terminal controls the heater and thermostat inside the stuffed animal to adjust the temperature to that of human skin (approximately 36.5°C).

[1828] Example: If the server determines that the baby has fallen asleep, the device will turn off the heater on the stuffed toy.

[1829] Example prompt: "Please set the temperature of the stuffed toy."

[1830] Examples of concrete examples and prompts

[1831] Specific examples of putting children to sleep

[1832] 1. Putting the kids to bed at 7pm

[1833] The user opens the app and enters their baby's information (sleep start time: 7pm, recent sleep patterns).

[1834] The device transmits this information to the server in real time.

[1835] The server generates an appropriate lullaby based on the baby's information.

[1836] The server sends the generated lullaby to the terminal.

[1837] The device plays lullabies and monitors the baby using a camera.

[1838] The device transmits camera images to the server in real time.

[1839] The server analyzes the video data and determines the baby's sleep state.

[1840] The server uses an emotion engine to analyze the user's emotions and adjusts the system settings as needed.

[1841] When the server determines that the baby has fallen asleep, it sends a command to the device to stop playing music and heating the stuffed toy.

[1842] The device will stop playing music and adjusting the temperature.

[1843] Specific examples of naps

[1844] 1. Nap Time

[1845] The user launches the app and enters the time of their nap.

[1846] The device transmits this information to the server in real time.

[1847] The server generates a lullaby based on past data.

[1848] The server sends the generated lullaby to the terminal.

[1849] The device plays lullabies and a camera monitors the baby.

[1850] The device transmits the images captured by the camera to the server in real time.

[1851] The server analyzes the video data and determines the baby's sleep state.

[1852] The server uses an emotion engine to analyze the user's emotions and adjusts the system settings as needed.

[1853] When the server determines that the baby has fallen asleep, it sends a command to the device to stop playing music and heating the stuffed toy.

[1854] The device will stop playing music and adjusting the temperature.

[1855] As described above, the present invention is a system that automatically takes appropriate action according to the baby's condition and the user's emotions, thereby significantly reducing the burden on parents and supporting comfortable sleep for babies.

[1856] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1857] Step 1:

[1858] The user opens the app on their smartphone and enters the baby's information.

[1859] Input: Bedtime start time, recent sleep patterns, etc.

[1860] Specific action: "To put my child to bed at 7pm, I will enter the start time of bedtime and recent sleep patterns."

[1861] Output: Input information data.

[1862] Step 2:

[1863] The terminal transmits the information entered by the user to the server via the network.

[1864] Input: Information data entered by the user.

[1865] Specific operation: "The input information is sent to the server in real time via Wi-Fi."

[1866] Output: Information sent to the server.

[1867] Step 3:

[1868] The server receives the information sent by the user and generates a lullaby based on that information using a generative AI model.

[1869] Input: Information sent to the server.

[1870] Data processing: Using Python machine learning libraries (e.g., TensorFlow), melodies and rhythms are generated using models trained on the baby data.

[1871] Specific Action: "Generate a lullaby suitable for putting a child to bed at 7pm."

[1872] Output: Generated lullaby digital audio file.

[1873] Step 4:

[1874] The server creates the generated lullaby as an audio file and sends it to the device.

[1875] Input: Generated lullaby digital audio file.

[1876] Specific action: "Send the generated lullaby to the device."

[1877] Output: The digital audio file sent to your device.

[1878] Step 5:

[1879] The device receives the lullaby sent from the server and plays it on the smartphone or tablet's built-in speaker or an external speaker.

[1880] Input: Digital audio file sent from the server.

[1881] Specific behavior: "When the user presses the play button, music plays through the speaker."

[1882] Output: Lullaby played over speaker.

[1883] Step 6:

[1884] A camera installed on the device captures video of the baby and sends this video data to a server in real time.

[1885] Input: Video data captured by the camera.

[1886] Specific operation: "Take detailed pictures of the baby's movements with a camera and send the data to a server."

[1887] Output: Video data sent to the server.

[1888] Step 7:

[1889] The server analyzes the received video and sensor data to determine the baby's sleep state.

[1890] Input: Video and sensor data sent to the server.

[1891] Data Computing: Using machine learning models (e.g. TensorFlow) to analyze baby movement patterns.

[1892] Specific operation: "Analyze video data and determine the baby's sleep state."

[1893] Output: Sleep state analysis results.

[1894] Step 8:

[1895] The server uses an emotion engine to analyze the user's emotions and recognize the user's tone of voice, facial expressions, and keyboard input.

[1896] Input: User's voice tone, facial expressions, and keyboard input data.

[1897] Data calculation: Recognize user emotions using emotion analysis APIs (e.g., Microsoft Azure Emotion API).

[1898] Specific behavior: "Analyze user sentiment and adjust system settings as needed."

[1899] Output: Emotion analysis results.

[1900] Step 9:

[1901] If the server determines that the baby has fallen asleep, it sends a command to the device to stop playing music and to stop adjusting the temperature of the stuffed toy.

[1902] Input: Sleep state analysis results.

[1903] Specific behavior: "When it determines that the baby has fallen asleep, it sends a command to the device to stop playing music."

[1904] Output: Control instructions sent to the terminal.

[1905] Step 10:

[1906] The device receives a stop command from the server and stops playing music and adjusting the temperature of the stuffed animal.

[1907] Input: Control command sent from the server.

[1908] Action: "Stop music playback and thermostat adjustment."

[1909] Output: Stopped music playback and temperature adjustment.

[1910] (Application example 2)

[1911] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1912] Existing systems for promoting baby sleep have the ability to monitor the baby's condition and adjust music and environmental settings, but there are no systems that take into account the emotional state of parents and workers. Such a system would reduce stress not only for the baby but also for the parents and workers working in the environment, improving overall work efficiency and quality of life. Furthermore, there is a need for an improved user experience by providing appropriate suggestions based on emotions.

[1913] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1914] In this invention, the server includes a music generating means, a music playing means, a monitoring means, a transmitting means, a control means, a temperature adjusting means, an emotion recognizing means, and a suggesting means, which not only promotes the baby's sleep but also makes it possible to recognize the emotional state of the operator in real time and set the environment and make suggestions according to that emotion.

[1915] The "music generating means" is a means for generating music according to the individual situation and state of the baby in order to promote the baby's sleep.

[1916] The "music reproducing means" is a means for reproducing the music generated by the music generating means.

[1917] The "monitoring means" is a means for monitoring the state of the baby in relation to the music playing means and collecting necessary data.

[1918] The "transmission means" is a means for transmitting data generated based on the baby's condition to a remote server.

[1919] The "control means" is a means for controlling the music playback means and the temperature adjustment means based on data received from a remote server.

[1920] "Temperature adjustment means" is a means for adjusting the temperature of the stuffed animal.

[1921] The "emotion recognition means" is a means for recognizing the emotions of workers and parents in real time and analyzing them as data.

[1922] The "suggestion means" is a means for analyzing the emotion data acquired by the emotion recognition means and proposing the most suitable actions and environmental settings to the worker or parent as necessary.

[1923] "Baby status" refers to the baby's physical and physiological state, such as whether they are awake or asleep.

[1924] "Emotional state" refers to the worker's or parent's current feelings, such as mental state, such as stress, fatigue, happiness, etc.

[1925] This invention provides a system for promoting sleep in babies, recognizing the emotional state of workers and parents in real time, and suggesting optimal environments. The system components include a music generation unit, a music playback unit, a monitoring unit, a transmission unit, a control unit, a temperature adjustment unit, an emotion recognition unit, and a suggestion unit.

[1926] Specifically, the server uses a music generator to generate music to promote sleep for the baby. This music is customized based on the baby's individual situation and constructed as a digital audio file. The music is generated using an algorithm that takes into account the baby's age, past sleep patterns, the current time of day, etc.

[1927] The generated music file is sent to the device and played by the music player. The built-in speaker or an external speaker can be used to play the music near the baby, with the aim of promoting sleep. The user can start playback and monitor the baby using a smartphone or tablet.

[1928] As a monitoring method, a camera installed on the device captures images of the baby, and this video data is sent to a server in real time. The high-resolution camera can detect the baby's movements in detail, and the video data is used to accurately grasp the baby's condition.

[1929] This video data and other sensor data are sent to a server via a transmission means. The server analyzes the data and determines the baby's sleep state and environmental conditions. Based on the analysis results, the control means issues instructions to the music player and temperature control means. For example, if it determines that the baby has fallen asleep, it sends a command to stop music playback and temperature control.

[1930] The emotion recognition means is a means for recognizing the user's emotions in real time. It detects the user's emotions by analyzing voice tone, facial expressions, keyboard input, etc., and dynamically changes the parameters of the music generation means and temperature control means based on that data. This allows the system's operation to be optimized according to the user's emotional state.

[1931] A concrete example of the system's behavior based on emotion data is that if a worker is feeling stressed, it will automatically suggest taking a break and adjust the temperature of the work environment. The following prompt sentences are used as examples of inputs to the generative AI model:

[1932] Worker Emotion Recognition Results: Stress

[1933] Suggestion: Suggest breaks and lower the temperature in the factory by 2 degrees.

[1934] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1935] Step 1:

[1936] The user launches the application

[1937] The user opens the application on a device such as a smartphone or tablet. They input information about their baby (such as age, recent sleep patterns, and desired time for putting the baby to sleep). The input data is saved on the device and used as the basis for generating music. Specifically, the information entered by the user is recorded in the device's local database, and an initialization process is performed.

[1938] Step 2:

[1939] The server generates the music

[1940] The device transmits the baby's stored information to the server via a transmission means. The server then uses a music generation means to generate music suited to the baby's individual situation. Here, an algorithm analyzes past data, time of day, etc. to create the optimal melody and rhythm. The generated music is then compiled into a digital audio file, which is then sent back to the device.

[1941] Step 3:

[1942] The device plays music

[1943] The digital audio file sent to the device is played using the music playback means. The sound is output through the speaker (built-in or external) set by the user, and the lullaby plays near the baby. During playback, real-time monitoring is performed, allowing the user to check the playback status via the device. Specifically, the music playback software analyzes the audio file and outputs it to the speaker.

[1944] Step 4:

[1945] Monitoring the baby's condition through monitoring means

[1946] A camera installed on the terminal captures video of the baby. The captured video data is sent to the server via a transmission means. Other sensors (for example, temperature sensors and motion sensors) also acquire data on the baby's condition in real time and send it in the same way. The input is video data and sensor data, and the output is data sent to the server.

[1947] Step 5:

[1948] Server-based data analysis and control

[1949] The transmitted video data and sensor data are analyzed to determine the baby's condition. For example, the analysis engine determines whether the baby has fallen asleep, and based on that result, it issues instructions to the device through the control means. These instructions include stopping music playback and adjusting the temperature. The analysis algorithm processes the data and generates control commands.

[1950] Step 6:

[1951] Emotion analysis of users using emotion recognition methods

[1952] Data such as voice tone, facial expressions, and keyboard input is analyzed by the emotion recognition means to determine the user's emotional state. The emotion data is sent to a server, and parameters for the music generation means and temperature control means are dynamically changed based on the analysis. For example, if the user is feeling stressed, music can be switched to one with a more relaxing effect. The input is the user's emotion data, and the output is the analysis result.

[1953] Step 7:

[1954] Proposal to the user through suggestion means

[1955] Based on the analyzed emotional data, the system will suggest optimal actions and environmental settings to the user as needed. For example, if stress levels are high, the system will suggest taking a break and prompt the user to adjust their work environment. Specific prompts will also be generated and notified to the user. This response reduces the user's stress and maintains an efficient environment. The input is the result of analyzing the emotional data, and the output is suggestions to the user.

[1956] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1957] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1958] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1959] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1960] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1961] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1962] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1963] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1964] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1965] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1966] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1967] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1968] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1969] Alternatively, the specific processing program 56 may be stored in a storage device such as a server connected to the data processing device 12 via the network 54, and the specific processing program 56 may be downloaded and installed on the computer 22 in response to a request from the data processing device 12.

[1970] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1971] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1972] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[1973] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1974] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1975] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1976] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1977] The following is further disclosed regarding the above embodiment.

[1978] (Claim 1)

[1979] a music generating means for promoting sleep in a baby;

[1980] a music playback means for playing back the music generated by the music generation means;

[1981] monitoring means for monitoring the condition of a baby associated with said music playing means;

[1982] a transmitting means for transmitting data generated based on the baby's condition to a remote server;

[1983] a control means for controlling the music playback means and the temperature adjustment means of the stuffed toy based on the data received from the remote server;

[1984] a temperature adjusting means for adjusting the temperature of the stuffed toy;

[1985] a means for maintaining the temperature adjusted by the temperature adjusting means;

[1986] A system including:

[1987] (Claim 2)

[1988] 2. The system according to claim 1, further comprising control means for stopping the music playing means and the temperature adjusting means when it is determined that the baby has fallen asleep.

[1989] (Claim 3)

[1990] 2. The system according to claim 1, wherein the monitoring means captures an image of the baby using a camera included therein, and the transmitting means transmits the image data to the server.

[1991] "Example 1"

[1992] (Claim 1)

[1993] a music generating means for generating a lullaby based on information about the baby provided by the user;

[1994] a music playback means for playing back the lullaby generated by the music generation means;

[1995] a terminal that controls the music playback means;

[1996] a monitoring means for monitoring the condition of the baby in real time using a camera mounted on the terminal;

[1997] a transmitting means for transmitting the data acquired by the monitoring means to a remote server;

[1998] a server that analyzes the received data and determines the baby's sleep state;

[1999] a control means for controlling the music playback means and the temperature adjustment means based on the data received from the server;

[2000] a temperature adjusting means for adjusting the temperature of the stuffed toy based on the baby's condition;

[2001] a means for maintaining the temperature adjusted by the temperature adjusting means;

[2002] A system including:

[2003] (Claim 2)

[2004] 2. The system according to claim 1, further comprising a control means for stopping the music playing means and the temperature adjusting means when the server determines that the baby has fallen asleep.

[2005] (Claim 3)

[2006] 2. The system according to claim 1, wherein the monitoring means captures an image of the baby using a camera included therein, and the transmitting means transmits the image data to a server.

[2007] "Application Example 1"

[2008] (Claim 1)

[2009] a music generating means for promoting sleep in a baby;

[2010] a music playback means for playing back the music generated by the music generation means;

[2011] monitoring means for monitoring the condition of a baby associated with said music playing means;

[2012] a transmitting means for transmitting data generated based on the baby's condition to a remote server;

[2013] a control means for controlling the music playback means and the temperature adjustment means of the stuffed toy based on the data received from the remote server;

[2014] a temperature adjusting means for adjusting the temperature of the stuffed toy;

[2015] a means for maintaining the temperature adjusted by the temperature adjusting means;

[2016] A generative AI model that generates customized lullabies based on user-entered baby information;

[2017] Smartphone applications for controlling music playback, monitoring, data processing and temperature control;

[2018] A system including:

[2019] (Claim 2)

[2020] 2. The system according to claim 1, further comprising control means for stopping the music playing means and the temperature adjusting means when it is determined that the baby has fallen asleep.

[2021] (Claim 3)

[2022] 2. The system according to claim 1, wherein the monitoring means captures an image of the baby using a camera included therein, and the transmitting means transmits the image data to the server.

[2023] "Example 2: Combining Emotion Engines"

[2024] (Claim 1)

[2025] a music generating means for promoting sleep in a baby;

[2026] a music playback means for playing back the music generated by the music generation means;

[2027] monitoring means for monitoring the condition of a baby associated with said music playing means;

[2028] a transmitting means for transmitting data generated based on the baby's condition to a remote computer;

[2029] a control means for controlling the music playback means and the temperature adjustment means of the stuffed toy based on the data received from the remote computer;

[2030] a temperature adjusting means for adjusting the temperature of the stuffed toy;

[2031] emotion analysis means for analyzing user emotions through said control means and dynamically adjusting system settings;

[2032] a means for maintaining the temperature adjusted by the temperature adjusting means;

[2033] A system including:

[2034] (Claim 2)

[2035] 2. The system according to claim 1, further comprising control means for stopping the music playing means and the temperature adjusting means when it is determined that the baby has fallen asleep.

[2036] (Claim 3)

[2037] 2. The system according to claim 1, wherein the monitoring means includes a camera for capturing an image of the baby, and the transmitting means transmits the image data to the computer.

[2038] "Application example 2 when combining emotion engines"

[2039] (Claim 1)

[2040] a music generating means for promoting sleep in a baby;

[2041] a music playback means for playing back the music generated by the music generation means;

[2042] monitoring means for monitoring the condition of a baby associated with said music playing means;

[2043] a transmitting means for transmitting data generated based on the baby's condition to a remote server;

[2044] a control means for controlling the music playback means and the temperature adjustment means of the stuffed toy based on the data received from the remote server;

[2045] a temperature adjusting means for adjusting the temperature of the stuffed toy;

[2046] a means for maintaining the temperature adjusted by the temperature adjusting means;

[2047] an emotion recognition means for recognizing the emotion of a worker in real time and setting the environment according to the emotion;

[2048] suggestion means for analyzing the emotion data acquired by the emotion recognition means and making suggestions to the worker as necessary;

[2049] A system including:

[2050] (Claim 2)

[2051] 2. The system according to claim 1, further comprising control means for stopping the music playing means and the temperature adjusting means when it is determined that the baby has fallen asleep.

[2052] (Claim 3)

[2053] 2. The system according to claim 1, wherein the monitoring means captures an image of the baby using a camera included therein, and the transmitting means transmits the image data to the server. [Explanation of symbols]

[2054] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. a music generating means for promoting sleep in a baby; a music playback means for playing back the music generated by the music generation means; monitoring means for monitoring the condition of a baby associated with said music playing means; a transmitting means for transmitting data generated based on the baby's condition to a remote server; a control means for controlling the music playback means and the temperature adjustment means of the stuffed toy based on the data received from the remote server; a temperature adjusting means for adjusting the temperature of the stuffed toy; a means for maintaining the temperature adjusted by the temperature adjusting means; A system including:

2. 2. The system according to claim 1, further comprising control means for stopping the music playing means and the temperature adjusting means when it is determined that the baby has fallen asleep.

3. 2. The system according to claim 1, wherein the monitoring means includes a camera for capturing an image of the baby, and the transmitting means transmits the image data to the server.

Images