System

Abstract

An object of a system according to an embodiment is to efficiently and effectively calm a baby down.SOLUTION: A system according to an embodiment includes a generation unit, a reproduction unit, a monitoring unit, an adjustment unit, and a notification unit. The generation unit generates a lullaby. The reproduction unit plays the lullaby generated by the generation unit. The monitoring unit monitors a condition of the baby. The adjustment unit adjusts the temperature of the air conditioner based on the information obtained by the monitoring unit. The notification unit gives a notification when the baby goes to sleep or when an abnormality is detected.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] With conventional technology, getting a baby to sleep can be a time-consuming and difficult task for parents.

[0005] The system according to the embodiment aims to put a baby to sleep efficiently and effectively. [Means for solving the problem]

[0006] The system according to the embodiment includes a generation unit, a playback unit, a monitoring unit, an adjustment unit, and a notification unit. The generation unit generates a lullaby. The playback unit plays the lullaby generated by the generation unit. The monitoring unit monitors the baby's condition. The adjustment unit adjusts the temperature of the air conditioner based on information obtained by the monitoring unit. The notification unit issues a notification when the baby falls asleep or when an abnormality is detected. [Effects of the Invention]

[0007] The system according to the embodiment can efficiently and effectively put a baby to sleep. [Brief explanation of the drawings]

[0008] [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. DETAILED DESCRIPTION OF THE INVENTION

[0009] 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.

[0010] First, the terms used in the following description will be explained.

[0011] 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, the 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), an APU (Accelerated Processing Unit), or a TPU (Tensor Processing Unit).

[0012] 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.

[0013] 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.

[0014] 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), and Bluetooth (registered trademark).

[0015] 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."

[0016] [First embodiment] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0017] 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.

[0018] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and 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).

[0019] 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.

[0020] The reception device 38 includes a touch panel 38A and a microphone 38B, and receives user input. The touch panel 38A detects contact with a pointer (for example, a pen or a finger) to receive user input by the touch of the pointer. 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 (see FIG. 2) acquires the data indicating the user input.

[0021] Output device 40 includes a display 40A and a speaker 40B, and presents data to a user by outputting the data in a form of expression that the user can perceive (e.g., audio and / or text). Display 40A displays visible information such as text and images in accordance with instructions from processor 46. Speaker 40B outputs audio in accordance with instructions from processor 46. 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.

[0022] 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.

[0023] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0024] 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.

[0025] 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. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0026] In the smart device 14, the specific processing is performed by the processor 46. The storage 50 stores a specific processing program 60. The specific processing program 60 is used together with the specific processing program 56 by the data processing system 10. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. Note that the smart device 14 has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can also perform processing similar to that of the specific processing unit 290 using these models.

[0027] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device (e.g., a generation server) may have the data generation model 58. In this case, the data processing device 12 obtains a processing result (prediction result, etc.) using the data generation model 58 by communicating with the server device having the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device owned by a user (e.g., a mobile phone, a robot, a home appliance, etc.). Next, an example of processing by the data processing system 10 according to the first embodiment will be described.

[0028] (Example 1) A baby sleep system according to an embodiment of the present invention uses a generation AI to streamline the process of putting a baby to sleep. The generation AI generates a lullaby for the baby and plays it. It then monitors the baby's condition using a camera and temperature sensor to create an optimal sleeping environment. For example, it can measure the baby's temperature and adjust the air conditioner temperature accordingly. If the baby does not fall asleep, the generation AI generates a new lullaby and repeats the process until the baby falls asleep. It also analyzes what lullabies are most effective for sleep and references information on how long it takes other users of the system to fall asleep, thereby continually generating good lullabies. When the baby falls asleep, the system notifies the parent via their smartphone. It also sends an alert to the parent's smartphone if it detects abnormalities, such as an abnormally high baby temperature, coughing, or not breathing, allowing the parent to rest and relax. For example, it shortens the time it takes for the baby to fall asleep, freeing up time for other household chores or rest. Constant monitoring of the baby's health allows the parent to rest assured that the system is responsible for putting the baby to sleep. This makes the baby sleep system more efficient and reduces the burden on parents. For example, it shortens the time it takes for a baby to fall asleep, allowing parents to spend more time on other household chores or rest. In addition, by constantly monitoring the baby's health, parents can rest assured that they can leave the baby to sleep.

[0029] A baby sleep system according to an embodiment includes a generation unit, a playback unit, a monitoring unit, an adjustment unit, and a notification unit. The generation unit generates a lullaby for the baby using a generation AI. For example, the generation unit generates a new lullaby if the baby does not fall asleep. The generation unit can also generate a lullaby by referring to information on the time other users of the same system fall asleep. The playback unit plays the lullaby generated by the generation unit. For example, the playback unit can estimate the baby's emotions and adjust the timing of the lullaby playback based on the estimated baby's emotions. The monitoring unit monitors the baby's condition using a camera and a temperature sensor. For example, the monitoring unit can measure the baby's body temperature and heart rate in real time and detect abnormalities. The adjustment unit adjusts the air conditioner temperature based on the information obtained by the monitoring unit. For example, the adjustment unit can also adjust the air conditioner temperature based on the baby's body temperature. The notification unit sends a notification to the parent's smartphone when the baby falls asleep or when an abnormality is detected. The notification unit can also notify parents in real time of abnormalities in the baby's body temperature or heart rate, for example. This allows the baby sleep system according to the embodiment to make putting babies to sleep more efficient and reduce the burden on parents.

[0030] The generation unit can generate a new lullaby if the baby does not sleep. For example, the generation unit generates a new lullaby if the baby does not sleep. The generation unit can change the melody or adjust the tempo to generate a new lullaby. This makes it possible to continue soothing the baby to sleep even if the baby does not sleep by generating a new lullaby. Some or all of the above-mentioned processes in the generation unit may be performed using or without the generation AI. For example, the generation unit can cause the generation AI to generate a new lullaby if the baby does not sleep.

[0031] The generation unit can generate a lullaby by referring to information about the time it takes other users who use the same system to fall asleep. For example, the generation unit generates a lullaby by referring to information about the time it takes other users who use the same system to fall asleep. The generation unit can generate a more effective lullaby by collecting and analyzing data from other users. This allows for the generation of a more effective lullaby by referring to the data from other users. Some or all of the above-described processing in the generation unit may be performed using a generation AI, or may be performed without using a generation AI. For example, the generation unit can input data from other users into the generation AI and have the generation AI generate a lullaby.

[0032] The monitoring unit can monitor the baby's condition using a camera or a temperature sensor. The monitoring unit monitors the baby's condition using, for example, a camera. The monitoring unit can capture the baby's movements and facial expressions with a camera and monitor them in real time. The monitoring unit can also measure and monitor the baby's body temperature using a temperature sensor. This allows the baby's condition to be accurately monitored using a camera or a temperature sensor. Some or all of the above-mentioned processing in the monitoring unit may be performed using AI, or may be performed without using AI. For example, the monitoring unit can input video data acquired by a camera into AI and have the AI ​​analyze the baby's condition.

[0033] The adjustment unit can adjust the temperature of the air conditioner based on the baby's body temperature. For example, the adjustment unit measures the baby's body temperature and adjusts the temperature of the air conditioner based on the data. The adjustment unit can lower the temperature of the air conditioner if the baby's body temperature is high, and raise the temperature of the air conditioner if the baby's body temperature is low. This allows for an optimal sleeping environment by adjusting the temperature of the air conditioner based on the baby's body temperature. Some or all of the above-mentioned processing in the adjustment unit may be performed using AI, or may be performed without using AI. For example, the adjustment unit can input the baby's body temperature data into AI and have the AI ​​adjust the temperature of the air conditioner.

[0034] The notification unit can send a notification to the parent's smartphone when the baby falls asleep or when it detects an abnormality. For example, the notification unit sends a notification to the parent's smartphone when the baby falls asleep. The notification unit can detect that the baby has fallen asleep and send a text message or voice message to the parent's smartphone. The notification unit can also send an alert to the parent's smartphone when it detects an abnormality in the baby, such as an abnormally high body temperature, coughing, or not breathing. This allows the parent to be notified when the baby falls asleep or when it detects an abnormality, so they can rest assured that they are in charge of putting the baby to sleep. Some or all of the above-mentioned processing by the notification unit may be performed using AI, or may be performed without AI. For example, the notification unit can input baby's condition data into AI and have the AI ​​generate the notification content.

[0035] The generation unit can estimate the baby's emotions and adjust the melody and tempo of the lullaby based on the estimated baby's emotions. For example, if the baby is feeling anxious, the generation AI can generate a calm and relaxing melody. If the baby is excited, the generation AI can also generate a lullaby with a slow tempo. If the baby is crying, the generation AI can also generate a lullaby with a calming melody and tempo. This allows for more effective sleep by generating a lullaby that suits the baby's emotions. Some or all of the above-mentioned processes in the generation unit may be performed using or without the generation AI. For example, the generation unit can input the baby's emotional data into the generation AI and have the generation AI adjust the melody and tempo of the lullaby.

[0036] The generation unit can analyze the baby's past sleep patterns and select the optimal lullaby generation method. For example, the generation unit can analyze the patterns of lullabies that have helped the baby sleep well in the past and generate a similar melody. The generation unit can also generate a melody that helps the baby fall asleep easily at a specific time of day. The generation unit can also generate a lullaby with an optimal tempo and rhythm based on the baby's past sleep data. In this way, more effective lullabies can be generated by analyzing past sleep patterns. Some or all of the above-mentioned processes in the generation unit may be performed using or without the generation AI. For example, the generation unit can input the baby's past sleep data into the generation AI and have the generation AI select the optimal lullaby generation method.

[0037] When generating a lullaby, the generator can apply different melodies and rhythms depending on the baby's age and developmental stage. For example, the generator can generate a simple and calm melody for a newborn. The generator can also generate a lullaby with a slightly more complex rhythm for an infant. The generator can also generate a lullaby with a fun melody for a toddler. This allows for more effective soothing of a baby by generating a lullaby appropriate for the baby's age and developmental stage. Some or all of the above-described processing in the generator can be performed using or without the generation AI. For example, the generator can input data on the baby's age and developmental stage into the generation AI and have the generation AI apply the lullaby melody and rhythm.

[0038] When generating a lullaby, the generation unit can incorporate the voice of the baby's parent to create a familiar lullaby. For example, the generation unit can record the parent's voice and generate a lullaby based on that voice. The generation unit can also generate a lullaby using the parent's voice in the background. The generation unit can also use the parent's voice as the main voice and have the generation AI add a melody. In this way, incorporating the parent's voice allows the baby to sleep more soundly. Some or all of the above-mentioned processes in the generation unit may be performed using or without the generation AI. For example, the generation unit can input recording data of the parent's voice into the generation AI and have the generation AI generate a familiar lullaby.

[0039] The generation unit can estimate the baby's emotions and adjust the lyrics of the lullaby based on the estimated baby's emotions. For example, if the baby is feeling anxious, the generation AI can generate lyrics that provide a sense of security. Also, if the baby is excited, the generation unit can generate lyrics that calm the baby. Also, if the baby is crying, the generation unit can generate lyrics that comfort the baby. In this way, by generating lyrics that correspond to the baby's emotions, more effective sleep can be achieved. Some or all of the above-mentioned processing in the generation unit may be performed using or without the generation AI. For example, the generation unit can input the baby's emotional data into the generation AI and have the generation AI adjust the lullaby lyrics.

[0040] When generating a lullaby, the generator can customize it by taking into account the baby's favorite sounds and musical genre. For example, the generator can generate a lullaby that incorporates the sounds of a baby's favorite animal. The generator can also generate a lullaby based on the baby's favorite musical genre (classical, jazz, etc.). The generator can also generate a lullaby that includes specific sounds that the baby responds to. This allows for more effective lullaby-soothing by generating a lullaby that suits the baby's preferences. Some or all of the above-described processing in the generator can be performed using or without the generation AI. For example, the generator can input data on the baby's favorite sounds and musical genre into the generation AI and have the generation AI customize the lullaby.

[0041] When generating a lullaby, the generator can adjust the volume and sound quality to an optimum level based on the baby's sleeping environment. For example, if the room is dark, the generator can generate a lullaby at a gentle volume. Alternatively, if the room is bright, the generator can generate a lullaby at a slightly louder volume. The generator can also generate a lullaby with the optimum sound quality to match the volume of the room. This allows for more effective soothing of the baby by generating a lullaby that suits the baby's sleeping environment. Some or all of the above-described processing in the generator can be performed using or without the generation AI. For example, the generator can input data about the baby's sleeping environment into the generation AI and have the generation AI adjust the volume and sound quality of the lullaby.

[0042] The generation unit can improve the generation method when generating a lullaby by reflecting feedback from the baby's parent. For example, the generation unit causes the generation AI to adjust the lullaby melody based on feedback provided by the parent. The generation unit can also cause the generation AI to change the tempo of the lullaby based on the parent's opinion. The generation unit can also cause the generation AI to revise the lyrics of the lullaby based on the parent's feedback. This allows for the generation of a more effective lullaby by reflecting parental feedback. Some or all of the above-mentioned processing in the generation unit may be performed using or without the generation AI. For example, the generation unit can input parental feedback data into the generation AI and cause the generation AI to improve the lullaby generation method.

[0043] The playback unit can estimate the baby's emotions and adjust the timing of the lullaby playback based on the estimated baby's emotions. For example, if the baby is feeling anxious, the playback unit can immediately play the lullaby. If the baby is relaxed, the playback unit can also play the lullaby with a slight delay. If the baby is crying, the playback unit can also play the lullaby immediately. This allows for more effective sleep-training by adjusting the playback timing according to the baby's emotions. Some or all of the above-described processing in the playback unit may be performed using AI, or may be performed without AI. For example, the playback unit can input the baby's emotional data into AI and have the AI ​​adjust the timing of the lullaby playback.

[0044] When playing lullabies, the playback unit can adjust the playback order and intervals based on the baby's sleep pattern. For example, the playback unit plays lullabies at times when the baby is most likely to fall asleep. The playback unit can also shorten the playback intervals before the baby enters deep sleep. The playback unit can also adjust the playback order before the baby enters light sleep. This allows for more effective sleep placement by adjusting the playback order and intervals according to the baby's sleep pattern. Some or all of the above-mentioned processing in the playback unit may be performed using AI, or may be performed without using AI. For example, the playback unit can input data on the baby's sleep pattern into AI and have the AI ​​adjust the playback order and intervals.

[0045] The playback unit can detect the baby's body movements when playing a lullaby and automatically adjust the playback volume. For example, if the baby starts to move, the playback unit lowers the playback volume. The playback unit can also keep the playback volume constant if the baby is quiet. The playback unit can also increase the playback volume if the baby starts to cry. This allows for more effective sleep-training by adjusting the volume according to the baby's body movements. Some or all of the above-mentioned processing in the playback unit may be performed using AI, or may be performed without using AI. For example, the playback unit can input the baby's body movement data into AI and have the AI ​​adjust the playback volume.

[0046] The playback unit can add a function to record and play back the baby's parent's voice when playing back a lullaby. For example, the playback unit can record the parent's voice and play it in the background of the lullaby. The playback unit can also use the parent's voice as the main voice and play it back as part of the lullaby. The playback unit can also record the parent's voice and play it back when the baby cries. This allows the baby to sleep more soundly by playing back the parent's voice. Some or all of the above-mentioned processing in the playback unit may be performed using AI, or may be performed without AI. For example, the playback unit can input recording data of the parent's voice into AI and have the AI ​​play the lullaby.

[0047] The playback unit can estimate the baby's emotions and adjust the playback speed of the lullaby based on the estimated baby's emotions. For example, the playback unit slows down the playback speed if the baby feels anxious. The playback unit can also keep the playback speed constant if the baby is relaxed. The playback unit can also speed up the playback speed if the baby is crying. This allows for more effective sleep-training by adjusting the playback speed according to the baby's emotions. Some or all of the above-described processing in the playback unit may be performed using AI, or may be performed without using AI. For example, the playback unit can input the baby's emotional data into AI and have the AI ​​adjust the playback speed.

[0048] When playing a lullaby, the playback unit can adjust the sound quality of the playback based on the baby's sleeping environment. For example, the playback unit can soften the sound quality of the playback when the room temperature is high. The playback unit can also make the sound quality of the playback clearer when the room humidity is low. The playback unit can also warm the sound quality of the playback when the room temperature is low. This allows for more effective sleep by adjusting the sound quality according to the baby's sleeping environment. Some or all of the above-mentioned processing in the playback unit may be performed using AI, or may be performed without using AI. For example, the playback unit can input data about the baby's sleeping environment into AI and have the AI ​​adjust the sound quality of the playback.

[0049] The playback unit can be added with a function to remotely control playback of a lullaby from the baby's parent's smartphone when the lullaby is being played. For example, the playback unit allows the parent to start playing a lullaby from the smartphone. The playback unit also allows the parent to stop playing the lullaby from the smartphone. The playback unit also allows the parent to adjust the volume of the lullaby playback from the smartphone. This allows the parent to remotely control playback, enabling more flexible ways to put the baby to sleep. Some or all of the above-mentioned processing in the playback unit may be performed using AI, or may be performed without AI. For example, the playback unit can input control data from the parent's smartphone to AI and have the AI ​​control the playback of the lullaby.

[0050] The playback unit can combine the baby's favorite music and sounds when playing a lullaby. For example, the playback unit can combine the sounds of the baby's favorite animals with the lullaby and play them. The playback unit can also combine the baby's favorite music genre with the lullaby and play them. The playback unit can also combine specific sounds that the baby responds to with the lullaby and play them. This allows for more effective sleep by playing music and sounds that suit the baby's preferences. Some or all of the above-mentioned processing by the playback unit may be performed using AI, or may be performed without using AI. For example, the playback unit can input data on the baby's favorite music and sounds into AI and have the AI ​​play the lullaby.

[0051] The monitoring unit can estimate the baby's emotions and adjust the monitoring frequency based on the estimated baby's emotions. For example, the monitoring unit can increase the monitoring frequency when the baby is feeling anxious. The monitoring unit can also maintain a constant monitoring frequency when the baby is relaxed. The monitoring unit can also maximize the monitoring frequency when the baby is crying. This allows for more effective monitoring by adjusting the monitoring frequency according to the baby's emotions. Some or all of the above-mentioned processing in the monitoring unit may be performed using AI or without AI. For example, the monitoring unit can input the baby's emotional data into AI and have the AI ​​adjust the monitoring frequency.

[0052] During monitoring, the monitoring unit can measure the baby's body temperature and heart rate in real time and detect abnormalities. For example, the monitoring unit issues an alert if the baby's body temperature is high. The monitoring unit can also issue an alert if the baby's heart rate is abnormally high. The monitoring unit can also issue an alert if the baby's body temperature is low. In this way, by measuring the baby's body temperature and heart rate in real time, abnormalities can be detected early. Some or all of the above-mentioned processing in the monitoring unit may be performed using AI, or may be performed without using AI. For example, the monitoring unit can input data on the baby's body temperature and heart rate into AI and have the AI ​​detect abnormalities.

[0053] The monitoring unit can detect the baby's sleeping position during monitoring and guide the baby to a safe position. For example, the monitoring unit issues an alert if the baby turns face down. The monitoring unit can also issue an alert if the baby turns sideways. The monitoring unit can also maintain a safe position if the baby turns back. In this way, by detecting the baby's sleeping position, the baby can be guided to a safe position. Some or all of the above-mentioned processing in the monitoring unit may be performed using AI, or may be performed without using AI. For example, the monitoring unit can input the baby's sleeping position data into AI and have the AI ​​guide the baby to a safe position.

[0054] During monitoring, the monitoring unit can detect the voice of the baby's parent and play audio to provide a sense of security. For example, the monitoring unit can detect the parent's voice and play a recorded version of the parent's voice. The monitoring unit can also detect the parent's voice and play calming music. The monitoring unit can also detect the parent's voice and play a lullaby. In this way, by detecting the parent's voice and playing audio, a sense of security can be provided to the baby. Some or all of the above-described processing in the monitoring unit may be performed using AI, or may be performed without using AI. For example, the monitoring unit can input data of the parent's voice into AI and have the AI ​​play audio to provide a sense of security.

[0055] The monitoring unit can estimate the baby's emotions and adjust the monitoring alert settings based on the estimated baby's emotions. For example, the monitoring unit can increase the alert sensitivity when the baby is feeling anxious. The monitoring unit can also maintain a constant alert sensitivity when the baby is relaxed. The monitoring unit can also maximize the alert sensitivity when the baby is crying. This allows for more effective monitoring by adjusting the alert settings according to the baby's emotions. Some or all of the above-mentioned processing in the monitoring unit may be performed using AI or without AI. For example, the monitoring unit can input the baby's emotional data into AI and have the AI ​​adjust the alert settings.

[0056] The monitoring unit can record and analyze the baby's sleeping environment during monitoring. For example, the monitoring unit can record the brightness of the room and analyze its relationship to the baby's sleep pattern. The monitoring unit can also record the volume of the room and analyze its relationship to the baby's sleep quality. The monitoring unit can also record the room temperature and use this information to help optimize the baby's sleeping environment. This makes it possible to provide a more effective sleeping environment by recording and analyzing the baby's sleeping environment. Some or all of the above-mentioned processing in the monitoring unit may be performed using AI, or may be performed without using AI. For example, the monitoring unit can input data on the baby's sleeping environment into AI and have the AI ​​perform the analysis.

[0057] The monitoring unit can add a function to transmit video in real time to the smartphone of the baby's parent during monitoring. For example, the monitoring unit transmits video of the baby's condition to the parent's smartphone in real time. The monitoring unit can also transmit video to the parent's smartphone when the baby cries. The monitoring unit can also transmit video to the parent's smartphone when the baby falls asleep. This allows the parent to check the baby's condition in real time, increasing their sense of security. Some or all of the above-mentioned processing in the monitoring unit may be performed using AI, or may be performed without using AI. For example, the monitoring unit can input video data of the baby into AI and have the AI ​​send the video in real time.

[0058] During monitoring, the monitoring unit can store the baby's sleep data in the cloud for long-term analysis. For example, the monitoring unit can store the baby's sleep data in the cloud and analyze long-term sleep patterns. The monitoring unit can also store the baby's sleep data in the cloud to help monitor health conditions. The monitoring unit can also store the baby's sleep data in the cloud to help with future improvements. Storing the baby's sleep data in the cloud thus enables long-term analysis. Some or all of the above-described processing in the monitoring unit may be performed using AI, or may be performed without AI. For example, the monitoring unit can input the baby's sleep data into AI and have the AI ​​store the data in the cloud and perform long-term analysis.

[0059] The adjustment unit can estimate the baby's emotions and adjust the temperature of the air conditioner based on the estimated baby's emotions. For example, if the baby feels anxious, the adjustment unit can slightly increase the temperature of the air conditioner. If the baby is relaxed, the adjustment unit can also keep the temperature of the air conditioner constant. If the baby is crying, the adjustment unit can also slightly decrease the temperature of the air conditioner. This allows for temperature adjustment according to the baby's emotions, providing a more comfortable sleeping environment. Some or all of the above-mentioned processing in the adjustment unit may be performed using AI, or may be performed without using AI. For example, the adjustment unit can input the baby's emotional data into AI and have the AI ​​adjust the temperature of the air conditioner.

[0060] When adjusting the temperature of the air conditioner, the adjustment unit can measure the baby's body temperature and humidity in real time and set the optimal temperature. For example, if the baby's body temperature is high, the adjustment unit can lower the temperature of the air conditioner. Also, if the baby's body temperature is low, the adjustment unit can raise the temperature of the air conditioner. Also, if the humidity in the room is high, the adjustment unit can adjust the temperature of the air conditioner. In this way, a more comfortable sleeping environment can be provided by adjusting the temperature according to the baby's body temperature and humidity. Some or all of the above-mentioned processing in the adjustment unit may be performed using AI, or may be performed without using AI. For example, the adjustment unit can input data on the baby's body temperature and humidity into AI and have the AI ​​set the optimal temperature.

[0061] When adjusting the temperature of the air conditioner, the adjustment unit can adjust the temperature change based on the baby's sleep pattern. For example, the adjustment unit adjusts the air conditioner to a temperature that makes it easy for the baby to fall asleep. The adjustment unit can also keep the temperature of the air conditioner constant before the baby enters deep sleep. The adjustment unit can also adjust the temperature of the air conditioner before the baby enters light sleep. This makes it possible to provide a more comfortable sleeping environment by adjusting the temperature according to the baby's sleep pattern. Some or all of the above-mentioned processing in the adjustment unit may be performed using AI, or may be performed without using AI. For example, the adjustment unit can input data on the baby's sleep pattern into AI and have the AI ​​adjust the temperature change.

[0062] The adjustment unit can improve the adjustment method when adjusting the temperature of the air conditioner by reflecting feedback from the baby's parent. For example, the adjustment unit adjusts the temperature setting of the air conditioner based on the parent's feedback. The adjustment unit can also change the temperature adjustment method of the air conditioner by reflecting the parent's opinion. The adjustment unit can also improve the temperature adjustment algorithm of the air conditioner based on the parent's feedback. This enables more effective temperature adjustment by reflecting the parent's feedback. Some or all of the above-mentioned processing in the adjustment unit may be performed using AI, or may be performed without using AI. For example, the adjustment unit can input parent's feedback data into AI and have the AI ​​improve the temperature adjustment method.

[0063] The adjustment unit can estimate the baby's emotions and adjust the air volume of the air conditioner based on the estimated baby's emotions. For example, if the baby feels anxious, the adjustment unit can reduce the air volume of the air conditioner. If the baby is relaxed, the adjustment unit can also keep the air volume of the air conditioner constant. If the baby is crying, the adjustment unit can also increase the air volume of the air conditioner. This allows for adjusting the air volume according to the baby's emotions, thereby providing a more comfortable sleeping environment. Some or all of the above-mentioned processing in the adjustment unit may be performed using AI, or may be performed without using AI. For example, the adjustment unit can input the baby's emotional data into AI and have the AI ​​adjust the air volume of the air conditioner.

[0064] When adjusting the temperature of the air conditioner, the adjustment unit can set the optimal temperature taking into consideration the baby's sleeping environment. For example, if the room is dark, the adjustment unit can slightly increase the temperature of the air conditioner. Also, if the room is bright, the adjustment unit can slightly decrease the temperature of the air conditioner. Also, if the volume in the room is loud, the adjustment unit can adjust the temperature of the air conditioner. In this way, a more comfortable sleeping environment can be provided by adjusting the temperature according to the baby's sleeping environment. Some or all of the above-mentioned processing in the adjustment unit may be performed using AI, or may be performed without using AI. For example, the adjustment unit can input data on the baby's sleeping environment into AI and have the AI ​​set the optimal temperature.

[0065] The adjustment unit can add a function to remotely control the air conditioner temperature from the baby's parent's smartphone. For example, the adjustment unit allows the parent to adjust the air conditioner temperature from the smartphone. The adjustment unit also allows the parent to adjust the air conditioner's airflow from the smartphone. The adjustment unit also allows the parent to control the air conditioner on / off from the smartphone. This allows the parent to remotely control the air conditioner temperature, enabling more flexible temperature adjustment. Some or all of the above-mentioned processing in the adjustment unit may be performed using AI, or may be performed without using AI. For example, the adjustment unit can input control data from the parent's smartphone into AI and have the AI ​​adjust the air conditioner temperature.

[0066] The adjustment unit can create a comfortable environment by playing music or sounds that the baby likes when adjusting the temperature of the air conditioner. For example, the adjustment unit can adjust the temperature of the air conditioner while playing music that the baby likes. The adjustment unit can also adjust the temperature of the air conditioner while playing sounds that the baby likes. The adjustment unit can also adjust the temperature of the air conditioner while playing specific sounds that the baby responds to. In this way, by playing music or sounds that the baby likes, a more comfortable sleeping environment can be provided. Some or all of the above-mentioned processing in the adjustment unit may be performed using AI, or may be performed without using AI. For example, the adjustment unit can input data on the baby's favorite music or sounds into AI and have the AI ​​adjust the temperature of the air conditioner.

[0067] The notification unit can estimate the baby's emotions and adjust the content of the notification based on the estimated baby's emotions. For example, if the baby feels anxious, the notification unit can send a detailed notification to the parent. If the baby is relaxed, the notification unit can also send a concise notification to the parent. If the baby is crying, the notification unit can also send an urgent notification to the parent. In this way, by adjusting the notification content according to the baby's emotions, more appropriate information can be provided to the parent. Some or all of the above-mentioned processing in the notification unit may be performed using AI, or may be performed without using AI. For example, the notification unit can input the baby's emotional data into AI and have the AI ​​adjust the notification content.

[0068] The notification unit can notify the parent in real time of any abnormalities in the baby's body temperature or heart rate when notifying. For example, the notification unit sends an alert to the parent if the baby's body temperature is high. The notification unit can also send an alert to the parent if the baby's heart rate is abnormally high. The notification unit can also send an alert to the parent if the baby's body temperature is low. This allows for early response by notifying the parent of abnormalities in the baby's body temperature or heart rate in real time. Some or all of the above-mentioned processing in the notification unit may be performed using AI, or may be performed without using AI. For example, the notification unit can input data on the baby's body temperature and heart rate into AI and have the AI ​​detect and notify the abnormalities.

[0069] At the time of notification, the notification unit can analyze the baby's sleep patterns and provide advice to the parent. For example, the notification unit can analyze the baby's sleep patterns and advise the parent on the optimal way to put the baby to sleep. The notification unit can also advise the parent on areas for improvement based on the baby's sleep data. The notification unit can also analyze the baby's sleep patterns and suggest specific actions to the parent. In this way, appropriate advice can be provided to the parent by analyzing the baby's sleep patterns. Some or all of the above-mentioned processing in the notification unit may be performed using AI, or may be performed without using AI. For example, the notification unit can input the baby's sleep pattern data into AI and have the AI ​​generate advice.

[0070] The notification unit can improve the notification method by reflecting feedback from the baby's parent at the time of notification. For example, the notification unit can adjust the content of the notification based on the parent's feedback. The notification unit can also change the timing of the notification by reflecting the parent's opinion. The notification unit can also improve the notification method based on the parent's feedback. This enables a more effective notification method by reflecting the parent's feedback. Some or all of the above-mentioned processing in the notification unit may be performed using AI, or may be performed without using AI. For example, the notification unit can input parent's feedback data into AI and have the AI ​​improve the notification method.

[0071] The notification unit can estimate the baby's emotions and adjust the timing of notifications based on the estimated baby's emotions. For example, if the baby is feeling anxious, the notification unit can immediately send a notification to the parent. If the baby is relaxed, the notification unit can also send a notification to the parent with a slight delay. If the baby is crying, the notification unit can also send a notification to the parent immediately. In this way, by adjusting the timing of notifications according to the baby's emotions, information can be provided at a more appropriate time. Some or all of the above-mentioned processing in the notification unit may be performed using AI, or may be performed without using AI. For example, the notification unit can input the baby's emotional data into AI and have the AI ​​adjust the timing of notifications.

[0072] The notification unit can record the baby's sleeping environment and notify the parent when notifying. The notification unit can, for example, record the brightness of the room and notify the parent. The notification unit can also record the volume of the room and notify the parent. The notification unit can also record the room temperature and notify the parent. In this way, by recording the baby's sleeping environment and notifying the parent, more appropriate information can be provided. Some or all of the above-mentioned processing in the notification unit may be performed using AI, or may be performed without using AI. For example, the notification unit can input the baby's sleeping environment data into AI and have the AI ​​perform the recording and notification.

[0073] The notification unit can add a function to send video in real time to the smartphone of the baby's parent when notified. For example, the notification unit sends video of the baby's condition to the parent's smartphone in real time. The notification unit can also send video to the parent's smartphone when the baby cries. The notification unit can also send video to the parent's smartphone when the baby falls asleep. This allows the parent to check the baby's condition in real time, increasing their sense of security. Some or all of the above-mentioned processing in the notification unit may be performed using AI, or may be performed without using AI. For example, the notification unit can input video data of the baby into AI and have the AI ​​send the video in real time.

[0074] When notifying, the notification unit can store the baby's sleep data in the cloud for long-term analysis. For example, the notification unit can store the baby's sleep data in the cloud and analyze long-term sleep patterns. The notification unit can also store the baby's sleep data in the cloud to help monitor the baby's health. The notification unit can also store the baby's sleep data in the cloud to help with future improvements. In this way, storing the baby's sleep data in the cloud enables long-term analysis. Some or all of the above-mentioned processing in the notification unit may be performed using AI, or may be performed without using AI. For example, the notification unit can input the baby's sleep data into AI and have the AI ​​store the data in the cloud and perform long-term analysis.

[0075] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0076] The generator can collect environmental sounds that occur while the baby is sleeping and generate a lullaby based on those sounds. For example, the generator can collect the sound of rain heard from outside the baby's room and generate a lullaby that incorporates that sound. The generator can also collect the sound of wind heard while the baby is sleeping and generate a relaxing melody based on that sound. Furthermore, the generator can collect white noise generated in the baby's room and generate a lullaby that incorporates that sound. This allows the baby to sleep more soundly by incorporating environmental sounds that he or she is accustomed to hearing.

[0077] The monitoring unit can analyze audio data generated while the baby is sleeping and evaluate the quality of the baby's sleep. For example, the monitoring unit can analyze the rhythm of the baby's breathing to evaluate whether the baby is in deep sleep. The monitoring unit can also analyze the number of times the baby rolls over to evaluate the quality of sleep. Furthermore, the monitoring unit can analyze the pattern of the baby's crying to evaluate the extent to which sleep interruptions are occurring. This allows for a detailed evaluation of the baby's sleep quality and provides a more appropriate method for putting the baby to sleep.

[0078] The adjustment unit can analyze environmental sounds generated while the baby is sleeping in real time and adjust the temperature and airflow of the air conditioner based on the sounds. For example, if the noise heard from outside the baby's room is loud, the adjustment unit can reduce the airflow of the air conditioner to create a quiet environment. Also, if the white noise generated in the baby's room is low, the adjustment unit can adjust the temperature of the air conditioner to provide a comfortable environment. Furthermore, if the sound of rain heard from outside the baby's room is loud, the adjustment unit can increase the temperature of the air conditioner to provide a warm environment. In this way, a more comfortable sleeping environment can be provided by making adjustments according to the environmental sounds generated while the baby is sleeping.

[0079] The notification unit can analyze environmental sounds generated while the baby is sleeping and notify the parent based on the sounds. For example, the notification unit can send an alert to the parent if there is a loud noise coming from outside the baby's room. The notification unit can also send a notification to the parent if there is little white noise coming from inside the baby's room. Furthermore, the notification unit can also send a notification to the parent if there is a loud sound of rain coming from outside the baby's room. In this way, by sending a notification based on the environmental sounds generated while the baby is sleeping, the parent can take appropriate action.

[0080] The processing flow of the first embodiment will be briefly explained below.

[0081] Step 1: The generator uses AI to generate a lullaby for the baby. For example, if the baby won't fall asleep, it generates a new lullaby. It can also generate a lullaby based on information about how long it takes other users of the same system to fall asleep. Step 2: The playback unit plays the lullaby generated by the generation unit. For example, the playback unit can estimate the baby's emotion and adjust the timing of playing the lullaby based on the estimated emotion of the baby. Step 3: The monitoring unit monitors the baby's condition using a camera and temperature sensor. For example, it can measure the baby's body temperature and heart rate in real time and detect any abnormalities. Step 4: The adjustment unit adjusts the temperature of the air conditioner based on the information obtained by the monitoring unit. For example, the temperature of the air conditioner can be adjusted based on the baby's body temperature. Step 5: The notification unit sends a notification to the parent's smartphone when the baby falls asleep or if it detects any abnormalities. For example, it can notify the parent in real time of abnormalities in the baby's body temperature or heart rate.

[0082] (Example 2) A baby sleep system according to an embodiment of the present invention uses a generation AI to streamline the process of putting a baby to sleep. The generation AI generates a lullaby for the baby and plays it. It then monitors the baby's condition using a camera and temperature sensor to create an optimal sleeping environment. For example, it can measure the baby's temperature and adjust the air conditioner temperature accordingly. If the baby does not fall asleep, the generation AI generates a new lullaby and repeats the process until the baby falls asleep. It also analyzes what lullabies are most effective for sleep and references information on how long it takes other users of the system to fall asleep, thereby continually generating good lullabies. When the baby falls asleep, the system notifies the parent via their smartphone. It also sends an alert to the parent's smartphone if it detects abnormalities, such as an abnormally high baby temperature, coughing, or not breathing, allowing the parent to rest and relax. For example, it shortens the time it takes for the baby to fall asleep, freeing up time for other household chores or rest. Constant monitoring of the baby's health allows the parent to rest assured that the system is responsible for putting the baby to sleep. This makes the baby sleep system more efficient and reduces the burden on parents. For example, it shortens the time it takes for a baby to fall asleep, allowing parents to spend more time on other household chores or rest. In addition, by constantly monitoring the baby's health, parents can rest assured that they can leave the baby to sleep.

[0083] A baby sleep system according to an embodiment includes a generation unit, a playback unit, a monitoring unit, an adjustment unit, and a notification unit. The generation unit generates a lullaby for the baby using a generation AI. For example, the generation unit generates a new lullaby if the baby does not fall asleep. The generation unit can also generate a lullaby by referring to information on the time other users of the same system fall asleep. The playback unit plays the lullaby generated by the generation unit. For example, the playback unit can estimate the baby's emotions and adjust the timing of the lullaby playback based on the estimated baby's emotions. The monitoring unit monitors the baby's condition using a camera and a temperature sensor. For example, the monitoring unit can measure the baby's body temperature and heart rate in real time and detect abnormalities. The adjustment unit adjusts the air conditioner temperature based on the information obtained by the monitoring unit. For example, the adjustment unit can also adjust the air conditioner temperature based on the baby's body temperature. The notification unit sends a notification to the parent's smartphone when the baby falls asleep or when an abnormality is detected. The notification unit can also notify parents in real time of abnormalities in the baby's body temperature or heart rate, for example. This allows the baby sleep system according to the embodiment to make putting babies to sleep more efficient and reduce the burden on parents.

[0084] The generation unit can generate a new lullaby if the baby does not sleep. For example, the generation unit generates a new lullaby if the baby does not sleep. The generation unit can change the melody or adjust the tempo to generate a new lullaby. This makes it possible to continue soothing the baby to sleep even if the baby does not sleep by generating a new lullaby. Some or all of the above-mentioned processes in the generation unit may be performed using or without the generation AI. For example, the generation unit can cause the generation AI to generate a new lullaby if the baby does not sleep.

[0085] The generation unit can generate a lullaby by referring to information about the time it takes other users who use the same system to fall asleep. For example, the generation unit generates a lullaby by referring to information about the time it takes other users who use the same system to fall asleep. The generation unit can generate a more effective lullaby by collecting and analyzing data from other users. This allows for the generation of a more effective lullaby by referring to the data from other users. Some or all of the above-described processing in the generation unit may be performed using a generation AI, or may be performed without using a generation AI. For example, the generation unit can input data from other users into the generation AI and have the generation AI generate a lullaby.

[0086] The monitoring unit can monitor the baby's condition using a camera or a temperature sensor. The monitoring unit monitors the baby's condition using, for example, a camera. The monitoring unit can capture the baby's movements and facial expressions with a camera and monitor them in real time. The monitoring unit can also measure and monitor the baby's body temperature using a temperature sensor. This allows the baby's condition to be accurately monitored using a camera or a temperature sensor. Some or all of the above-mentioned processing in the monitoring unit may be performed using AI, or may be performed without using AI. For example, the monitoring unit can input video data acquired by a camera into AI and have the AI ​​analyze the baby's condition.

[0087] The adjustment unit can adjust the temperature of the air conditioner based on the baby's body temperature. For example, the adjustment unit measures the baby's body temperature and adjusts the temperature of the air conditioner based on the data. The adjustment unit can lower the temperature of the air conditioner if the baby's body temperature is high, and raise the temperature of the air conditioner if the baby's body temperature is low. This allows for an optimal sleeping environment by adjusting the temperature of the air conditioner based on the baby's body temperature. Some or all of the above-mentioned processing in the adjustment unit may be performed using AI, or may be performed without using AI. For example, the adjustment unit can input the baby's body temperature data into AI and have the AI ​​adjust the temperature of the air conditioner.

[0088] The notification unit can send a notification to the parent's smartphone when the baby falls asleep or when it detects an abnormality. For example, the notification unit sends a notification to the parent's smartphone when the baby falls asleep. The notification unit can detect that the baby has fallen asleep and send a text message or voice message to the parent's smartphone. The notification unit can also send an alert to the parent's smartphone when it detects an abnormality in the baby, such as an abnormally high body temperature, coughing, or not breathing. This allows the parent to be notified when the baby falls asleep or when it detects an abnormality, so they can rest assured that they are in charge of putting the baby to sleep. Some or all of the above-mentioned processing by the notification unit may be performed using AI, or may be performed without AI. For example, the notification unit can input baby's condition data into AI and have the AI ​​generate the notification content.

[0089] The generation unit can estimate the baby's emotions and adjust the melody and tempo of the lullaby based on the estimated baby's emotions. For example, if the baby is feeling anxious, the generation AI can generate a calm and relaxing melody. If the baby is excited, the generation AI can also generate a lullaby with a slow tempo. If the baby is crying, the generation AI can also generate a lullaby with a calming melody and tempo. This allows for more effective sleep by generating a lullaby that suits the baby's emotions. Some or all of the above-mentioned processes in the generation unit may be performed using or without the generation AI. For example, the generation unit can input the baby's emotional data into the generation AI and have the generation AI adjust the melody and tempo of the lullaby.

[0090] The generation unit can analyze the baby's past sleep patterns and select the optimal lullaby generation method. For example, the generation unit can analyze the patterns of lullabies that have helped the baby sleep well in the past and generate a similar melody. The generation unit can also generate a melody that helps the baby fall asleep easily at a specific time of day. The generation unit can also generate a lullaby with an optimal tempo and rhythm based on the baby's past sleep data. In this way, more effective lullabies can be generated by analyzing past sleep patterns. Some or all of the above-mentioned processes in the generation unit may be performed using or without the generation AI. For example, the generation unit can input the baby's past sleep data into the generation AI and have the generation AI select the optimal lullaby generation method.

[0091] When generating a lullaby, the generator can apply different melodies and rhythms depending on the baby's age and developmental stage. For example, the generator can generate a simple and calm melody for a newborn. The generator can also generate a lullaby with a slightly more complex rhythm for an infant. The generator can also generate a lullaby with a fun melody for a toddler. This allows for more effective soothing of a baby by generating a lullaby appropriate for the baby's age and developmental stage. Some or all of the above-described processing in the generator can be performed using or without the generation AI. For example, the generator can input data on the baby's age and developmental stage into the generation AI and have the generation AI apply the lullaby melody and rhythm.

[0092] When generating a lullaby, the generation unit can incorporate the voice of the baby's parent to create a familiar lullaby. For example, the generation unit can record the parent's voice and generate a lullaby based on that voice. The generation unit can also generate a lullaby using the parent's voice in the background. The generation unit can also use the parent's voice as the main voice and have the generation AI add a melody. In this way, incorporating the parent's voice allows the baby to sleep more soundly. Some or all of the above-mentioned processes in the generation unit may be performed using or without the generation AI. For example, the generation unit can input recording data of the parent's voice into the generation AI and have the generation AI generate a familiar lullaby.

[0093] The generation unit can estimate the baby's emotions and adjust the lyrics of the lullaby based on the estimated baby's emotions. For example, if the baby is feeling anxious, the generation AI can generate lyrics that provide a sense of security. Also, if the baby is excited, the generation unit can generate lyrics that calm the baby. Also, if the baby is crying, the generation unit can generate lyrics that comfort the baby. In this way, by generating lyrics that correspond to the baby's emotions, more effective sleep can be achieved. Some or all of the above-mentioned processing in the generation unit may be performed using or without the generation AI. For example, the generation unit can input the baby's emotional data into the generation AI and have the generation AI adjust the lullaby lyrics.

[0094] When generating a lullaby, the generator can customize it by taking into account the baby's favorite sounds and musical genre. For example, the generator can generate a lullaby that incorporates the sounds of a baby's favorite animal. The generator can also generate a lullaby based on the baby's favorite musical genre (classical, jazz, etc.). The generator can also generate a lullaby that includes specific sounds that the baby responds to. This allows for more effective lullaby-soothing by generating a lullaby that suits the baby's preferences. Some or all of the above-described processing in the generator can be performed using or without the generation AI. For example, the generator can input data on the baby's favorite sounds and musical genre into the generation AI and have the generation AI customize the lullaby.

[0095] When generating a lullaby, the generator can adjust the volume and sound quality to an optimum level based on the baby's sleeping environment. For example, if the room is dark, the generator can generate a lullaby at a gentle volume. Alternatively, if the room is bright, the generator can generate a lullaby at a slightly louder volume. The generator can also generate a lullaby with the optimum sound quality to match the volume of the room. This allows for more effective soothing of the baby by generating a lullaby that suits the baby's sleeping environment. Some or all of the above-described processing in the generator can be performed using or without the generation AI. For example, the generator can input data about the baby's sleeping environment into the generation AI and have the generation AI adjust the volume and sound quality of the lullaby.

[0096] The generation unit can improve the generation method when generating a lullaby by reflecting feedback from the baby's parent. For example, the generation unit causes the generation AI to adjust the lullaby melody based on feedback provided by the parent. The generation unit can also cause the generation AI to change the tempo of the lullaby based on the parent's opinion. The generation unit can also cause the generation AI to revise the lyrics of the lullaby based on the parent's feedback. This allows for the generation of a more effective lullaby by reflecting parental feedback. Some or all of the above-mentioned processing in the generation unit may be performed using or without the generation AI. For example, the generation unit can input parental feedback data into the generation AI and cause the generation AI to improve the lullaby generation method.

[0097] The playback unit can estimate the baby's emotions and adjust the timing of the lullaby playback based on the estimated baby's emotions. For example, if the baby is feeling anxious, the playback unit can immediately play the lullaby. If the baby is relaxed, the playback unit can also play the lullaby with a slight delay. If the baby is crying, the playback unit can also play the lullaby immediately. This allows for more effective sleep-training by adjusting the playback timing according to the baby's emotions. Some or all of the above-described processing in the playback unit may be performed using AI, or may be performed without AI. For example, the playback unit can input the baby's emotional data into AI and have the AI ​​adjust the timing of the lullaby playback.

[0098] When playing lullabies, the playback unit can adjust the playback order and intervals based on the baby's sleep pattern. For example, the playback unit plays lullabies at times when the baby is most likely to fall asleep. The playback unit can also shorten the playback intervals before the baby enters deep sleep. The playback unit can also adjust the playback order before the baby enters light sleep. This allows for more effective sleep placement by adjusting the playback order and intervals according to the baby's sleep pattern. Some or all of the above-mentioned processing in the playback unit may be performed using AI, or may be performed without using AI. For example, the playback unit can input data on the baby's sleep pattern into AI and have the AI ​​adjust the playback order and intervals.

[0099] The playback unit can detect the baby's body movements when playing a lullaby and automatically adjust the playback volume. For example, if the baby starts to move, the playback unit lowers the playback volume. The playback unit can also keep the playback volume constant if the baby is quiet. The playback unit can also increase the playback volume if the baby starts to cry. This allows for more effective sleep-training by adjusting the volume according to the baby's body movements. Some or all of the above-mentioned processing in the playback unit may be performed using AI, or may be performed without using AI. For example, the playback unit can input the baby's body movement data into AI and have the AI ​​adjust the playback volume.

[0100] The playback unit can add a function to record and play back the baby's parent's voice when playing back a lullaby. For example, the playback unit can record the parent's voice and play it in the background of the lullaby. The playback unit can also use the parent's voice as the main voice and play it back as part of the lullaby. The playback unit can also record the parent's voice and play it back when the baby cries. This allows the baby to sleep more soundly by playing back the parent's voice. Some or all of the above-mentioned processing in the playback unit may be performed using AI, or may be performed without AI. For example, the playback unit can input recording data of the parent's voice into AI and have the AI ​​play the lullaby.

[0101] The playback unit can estimate the baby's emotions and adjust the playback speed of the lullaby based on the estimated baby's emotions. For example, the playback unit slows down the playback speed if the baby feels anxious. The playback unit can also keep the playback speed constant if the baby is relaxed. The playback unit can also speed up the playback speed if the baby is crying. This allows for more effective sleep-training by adjusting the playback speed according to the baby's emotions. Some or all of the above-described processing in the playback unit may be performed using AI, or may be performed without using AI. For example, the playback unit can input the baby's emotional data into AI and have the AI ​​adjust the playback speed.

[0102] When playing a lullaby, the playback unit can adjust the sound quality of the playback based on the baby's sleeping environment. For example, the playback unit can soften the sound quality of the playback when the room temperature is high. The playback unit can also make the sound quality of the playback clearer when the room humidity is low. The playback unit can also warm the sound quality of the playback when the room temperature is low. This allows for more effective sleep by adjusting the sound quality according to the baby's sleeping environment. Some or all of the above-mentioned processing in the playback unit may be performed using AI, or may be performed without using AI. For example, the playback unit can input data about the baby's sleeping environment into AI and have the AI ​​adjust the sound quality of the playback.

[0103] The playback unit can be added with a function to remotely control playback of a lullaby from the baby's parent's smartphone when the lullaby is being played. For example, the playback unit allows the parent to start playing a lullaby from the smartphone. The playback unit also allows the parent to stop playing the lullaby from the smartphone. The playback unit also allows the parent to adjust the volume of the lullaby playback from the smartphone. This allows the parent to remotely control playback, enabling more flexible ways to put the baby to sleep. Some or all of the above-mentioned processing in the playback unit may be performed using AI, or may be performed without AI. For example, the playback unit can input control data from the parent's smartphone to AI and have the AI ​​control the playback of the lullaby.

[0104] The playback unit can combine the baby's favorite music and sounds when playing a lullaby. For example, the playback unit can combine the sounds of the baby's favorite animals with the lullaby and play them. The playback unit can also combine the baby's favorite music genre with the lullaby and play them. The playback unit can also combine specific sounds that the baby responds to with the lullaby and play them. This allows for more effective sleep by playing music and sounds that suit the baby's preferences. Some or all of the above-mentioned processing by the playback unit may be performed using AI, or may be performed without using AI. For example, the playback unit can input data on the baby's favorite music and sounds into AI and have the AI ​​play the lullaby.

[0105] The monitoring unit can estimate the baby's emotions and adjust the monitoring frequency based on the estimated baby's emotions. For example, the monitoring unit can increase the monitoring frequency when the baby is feeling anxious. The monitoring unit can also maintain a constant monitoring frequency when the baby is relaxed. The monitoring unit can also maximize the monitoring frequency when the baby is crying. This allows for more effective monitoring by adjusting the monitoring frequency according to the baby's emotions. Some or all of the above-mentioned processing in the monitoring unit may be performed using AI or without AI. For example, the monitoring unit can input the baby's emotional data into AI and have the AI ​​adjust the monitoring frequency.

[0106] During monitoring, the monitoring unit can measure the baby's body temperature and heart rate in real time and detect abnormalities. For example, the monitoring unit issues an alert if the baby's body temperature is high. The monitoring unit can also issue an alert if the baby's heart rate is abnormally high. The monitoring unit can also issue an alert if the baby's body temperature is low. In this way, by measuring the baby's body temperature and heart rate in real time, abnormalities can be detected early. Some or all of the above-mentioned processing in the monitoring unit may be performed using AI, or may be performed without using AI. For example, the monitoring unit can input data on the baby's body temperature and heart rate into AI and have the AI ​​detect abnormalities.

[0107] The monitoring unit can detect the baby's sleeping position during monitoring and guide the baby to a safe position. For example, the monitoring unit issues an alert if the baby turns face down. The monitoring unit can also issue an alert if the baby turns sideways. The monitoring unit can also maintain a safe position if the baby turns back. In this way, by detecting the baby's sleeping position, the baby can be guided to a safe position. Some or all of the above-mentioned processing in the monitoring unit may be performed using AI, or may be performed without using AI. For example, the monitoring unit can input the baby's sleeping position data into AI and have the AI ​​guide the baby to a safe position.

[0108] During monitoring, the monitoring unit can detect the voice of the baby's parent and play audio to provide a sense of security. For example, the monitoring unit can detect the parent's voice and play a recorded version of the parent's voice. The monitoring unit can also detect the parent's voice and play calming music. The monitoring unit can also detect the parent's voice and play a lullaby. In this way, by detecting the parent's voice and playing audio, a sense of security can be provided to the baby. Some or all of the above-described processing in the monitoring unit may be performed using AI, or may be performed without using AI. For example, the monitoring unit can input data of the parent's voice into AI and have the AI ​​play audio to provide a sense of security.

[0109] The monitoring unit can estimate the baby's emotions and adjust the monitoring alert settings based on the estimated baby's emotions. For example, the monitoring unit can increase the alert sensitivity when the baby is feeling anxious. The monitoring unit can also maintain a constant alert sensitivity when the baby is relaxed. The monitoring unit can also maximize the alert sensitivity when the baby is crying. This allows for more effective monitoring by adjusting the alert settings according to the baby's emotions. Some or all of the above-mentioned processing in the monitoring unit may be performed using AI or without AI. For example, the monitoring unit can input the baby's emotional data into AI and have the AI ​​adjust the alert settings.

[0110] The monitoring unit can record and analyze the baby's sleeping environment during monitoring. For example, the monitoring unit can record the brightness of the room and analyze its relationship to the baby's sleep pattern. The monitoring unit can also record the volume of the room and analyze its relationship to the baby's sleep quality. The monitoring unit can also record the room temperature and use this information to help optimize the baby's sleeping environment. This makes it possible to provide a more effective sleeping environment by recording and analyzing the baby's sleeping environment. Some or all of the above-mentioned processing in the monitoring unit may be performed using AI, or may be performed without using AI. For example, the monitoring unit can input data on the baby's sleeping environment into AI and have the AI ​​perform the analysis.

[0111] The monitoring unit can add a function to transmit video in real time to the smartphone of the baby's parent during monitoring. For example, the monitoring unit transmits video of the baby's condition to the parent's smartphone in real time. The monitoring unit can also transmit video to the parent's smartphone when the baby cries. The monitoring unit can also transmit video to the parent's smartphone when the baby falls asleep. This allows the parent to check the baby's condition in real time, increasing their sense of security. Some or all of the above-mentioned processing in the monitoring unit may be performed using AI, or may be performed without using AI. For example, the monitoring unit can input video data of the baby into AI and have the AI ​​send the video in real time.

[0112] During monitoring, the monitoring unit can store the baby's sleep data in the cloud for long-term analysis. For example, the monitoring unit can store the baby's sleep data in the cloud and analyze long-term sleep patterns. The monitoring unit can also store the baby's sleep data in the cloud to help monitor health conditions. The monitoring unit can also store the baby's sleep data in the cloud to help with future improvements. Storing the baby's sleep data in the cloud thus enables long-term analysis. Some or all of the above-described processing in the monitoring unit may be performed using AI, or may be performed without AI. For example, the monitoring unit can input the baby's sleep data into AI and have the AI ​​store the data in the cloud and perform long-term analysis.

[0113] The adjustment unit can estimate the baby's emotions and adjust the temperature of the air conditioner based on the estimated baby's emotions. For example, if the baby feels anxious, the adjustment unit can slightly increase the temperature of the air conditioner. If the baby is relaxed, the adjustment unit can also keep the temperature of the air conditioner constant. If the baby is crying, the adjustment unit can also slightly decrease the temperature of the air conditioner. This allows for temperature adjustment according to the baby's emotions, providing a more comfortable sleeping environment. Some or all of the above-mentioned processing in the adjustment unit may be performed using AI, or may be performed without using AI. For example, the adjustment unit can input the baby's emotional data into AI and have the AI ​​adjust the temperature of the air conditioner.

[0114] When adjusting the temperature of the air conditioner, the adjustment unit can measure the baby's body temperature and humidity in real time and set the optimal temperature. For example, if the baby's body temperature is high, the adjustment unit can lower the temperature of the air conditioner. Also, if the baby's body temperature is low, the adjustment unit can raise the temperature of the air conditioner. Also, if the humidity in the room is high, the adjustment unit can adjust the temperature of the air conditioner. In this way, a more comfortable sleeping environment can be provided by adjusting the temperature according to the baby's body temperature and humidity. Some or all of the above-mentioned processing in the adjustment unit may be performed using AI, or may be performed without using AI. For example, the adjustment unit can input data on the baby's body temperature and humidity into AI and have the AI ​​set the optimal temperature.

[0115] When adjusting the temperature of the air conditioner, the adjustment unit can adjust the temperature change based on the baby's sleep pattern. For example, the adjustment unit adjusts the air conditioner to a temperature that makes it easy for the baby to fall asleep. The adjustment unit can also keep the temperature of the air conditioner constant before the baby enters deep sleep. The adjustment unit can also adjust the temperature of the air conditioner before the baby enters light sleep. This makes it possible to provide a more comfortable sleeping environment by adjusting the temperature according to the baby's sleep pattern. Some or all of the above-mentioned processing in the adjustment unit may be performed using AI, or may be performed without using AI. For example, the adjustment unit can input data on the baby's sleep pattern into AI and have the AI ​​adjust the temperature change.

[0116] The adjustment unit can improve the adjustment method when adjusting the temperature of the air conditioner by reflecting feedback from the baby's parent. For example, the adjustment unit adjusts the temperature setting of the air conditioner based on the parent's feedback. The adjustment unit can also change the temperature adjustment method of the air conditioner by reflecting the parent's opinion. The adjustment unit can also improve the temperature adjustment algorithm of the air conditioner based on the parent's feedback. This enables more effective temperature adjustment by reflecting the parent's feedback. Some or all of the above-mentioned processing in the adjustment unit may be performed using AI, or may be performed without using AI. For example, the adjustment unit can input parent's feedback data into AI and have the AI ​​improve the temperature adjustment method.

[0117] The adjustment unit can estimate the baby's emotions and adjust the air volume of the air conditioner based on the estimated baby's emotions. For example, if the baby feels anxious, the adjustment unit can reduce the air volume of the air conditioner. If the baby is relaxed, the adjustment unit can also keep the air volume of the air conditioner constant. If the baby is crying, the adjustment unit can also increase the air volume of the air conditioner. This allows for adjusting the air volume according to the baby's emotions, thereby providing a more comfortable sleeping environment. Some or all of the above-mentioned processing in the adjustment unit may be performed using AI, or may be performed without using AI. For example, the adjustment unit can input the baby's emotional data into AI and have the AI ​​adjust the air volume of the air conditioner.

[0118] When adjusting the temperature of the air conditioner, the adjustment unit can set the optimal temperature taking into consideration the baby's sleeping environment. For example, if the room is dark, the adjustment unit can slightly increase the temperature of the air conditioner. Also, if the room is bright, the adjustment unit can slightly decrease the temperature of the air conditioner. Also, if the volume in the room is loud, the adjustment unit can adjust the temperature of the air conditioner. In this way, a more comfortable sleeping environment can be provided by adjusting the temperature according to the baby's sleeping environment. Some or all of the above-mentioned processing in the adjustment unit may be performed using AI, or may be performed without using AI. For example, the adjustment unit can input data on the baby's sleeping environment into AI and have the AI ​​set the optimal temperature.

[0119] The adjustment unit can add a function to remotely control the air conditioner temperature from the baby's parent's smartphone. For example, the adjustment unit allows the parent to adjust the air conditioner temperature from the smartphone. The adjustment unit also allows the parent to adjust the air conditioner's airflow from the smartphone. The adjustment unit also allows the parent to control the air conditioner on / off from the smartphone. This allows the parent to remotely control the air conditioner temperature, enabling more flexible temperature adjustment. Some or all of the above-mentioned processing in the adjustment unit may be performed using AI, or may be performed without using AI. For example, the adjustment unit can input control data from the parent's smartphone into AI and have the AI ​​adjust the air conditioner temperature.

[0120] The adjustment unit can create a comfortable environment by playing music or sounds that the baby likes when adjusting the temperature of the air conditioner. For example, the adjustment unit can adjust the temperature of the air conditioner while playing music that the baby likes. The adjustment unit can also adjust the temperature of the air conditioner while playing sounds that the baby likes. The adjustment unit can also adjust the temperature of the air conditioner while playing specific sounds that the baby responds to. In this way, by playing music or sounds that the baby likes, a more comfortable sleeping environment can be provided. Some or all of the above-mentioned processing in the adjustment unit may be performed using AI, or may be performed without using AI. For example, the adjustment unit can input data on the baby's favorite music or sounds into AI and have the AI ​​adjust the temperature of the air conditioner.

[0121] The notification unit can estimate the baby's emotions and adjust the content of the notification based on the estimated baby's emotions. For example, if the baby feels anxious, the notification unit can send a detailed notification to the parent. If the baby is relaxed, the notification unit can also send a concise notification to the parent. If the baby is crying, the notification unit can also send an urgent notification to the parent. In this way, by adjusting the notification content according to the baby's emotions, more appropriate information can be provided to the parent. Some or all of the above-mentioned processing in the notification unit may be performed using AI, or may be performed without using AI. For example, the notification unit can input the baby's emotional data into AI and have the AI ​​adjust the notification content.

[0122] The notification unit can notify the parent in real time of any abnormalities in the baby's body temperature or heart rate when notifying. For example, the notification unit sends an alert to the parent if the baby's body temperature is high. The notification unit can also send an alert to the parent if the baby's heart rate is abnormally high. The notification unit can also send an alert to the parent if the baby's body temperature is low. This allows for early response by notifying the parent of abnormalities in the baby's body temperature or heart rate in real time. Some or all of the above-mentioned processing in the notification unit may be performed using AI, or may be performed without using AI. For example, the notification unit can input data on the baby's body temperature and heart rate into AI and have the AI ​​detect and notify the abnormalities.

[0123] At the time of notification, the notification unit can analyze the baby's sleep patterns and provide advice to the parent. For example, the notification unit can analyze the baby's sleep patterns and advise the parent on the optimal way to put the baby to sleep. The notification unit can also advise the parent on areas for improvement based on the baby's sleep data. The notification unit can also analyze the baby's sleep patterns and suggest specific actions to the parent. In this way, appropriate advice can be provided to the parent by analyzing the baby's sleep patterns. Some or all of the above-mentioned processing in the notification unit may be performed using AI, or may be performed without using AI. For example, the notification unit can input the baby's sleep pattern data into AI and have the AI ​​generate advice.

[0124] The notification unit can improve the notification method by reflecting feedback from the baby's parent at the time of notification. For example, the notification unit can adjust the content of the notification based on the parent's feedback. The notification unit can also change the timing of the notification by reflecting the parent's opinion. The notification unit can also improve the notification method based on the parent's feedback. This enables a more effective notification method by reflecting the parent's feedback. Some or all of the above-mentioned processing in the notification unit may be performed using AI, or may be performed without using AI. For example, the notification unit can input parent's feedback data into AI and have the AI ​​improve the notification method.

[0125] The notification unit can estimate the baby's emotions and adjust the timing of notifications based on the estimated baby's emotions. For example, if the baby is feeling anxious, the notification unit can immediately send a notification to the parent. If the baby is relaxed, the notification unit can also send a notification to the parent with a slight delay. If the baby is crying, the notification unit can also send a notification to the parent immediately. In this way, by adjusting the timing of notifications according to the baby's emotions, information can be provided at a more appropriate time. Some or all of the above-mentioned processing in the notification unit may be performed using AI, or may be performed without using AI. For example, the notification unit can input the baby's emotional data into AI and have the AI ​​adjust the timing of notifications.

[0126] The notification unit can record the baby's sleeping environment and notify the parent when notifying. The notification unit can, for example, record the brightness of the room and notify the parent. The notification unit can also record the volume of the room and notify the parent. The notification unit can also record the room temperature and notify the parent. In this way, by recording the baby's sleeping environment and notifying the parent, more appropriate information can be provided. Some or all of the above-mentioned processing in the notification unit may be performed using AI, or may be performed without using AI. For example, the notification unit can input the baby's sleeping environment data into AI and have the AI ​​perform the recording and notification.

[0127] The notification unit can add a function to send video in real time to the smartphone of the baby's parent when notified. For example, the notification unit sends video of the baby's condition to the parent's smartphone in real time. The notification unit can also send video to the parent's smartphone when the baby cries. The notification unit can also send video to the parent's smartphone when the baby falls asleep. This allows the parent to check the baby's condition in real time, increasing their sense of security. Some or all of the above-mentioned processing in the notification unit may be performed using AI, or may be performed without using AI. For example, the notification unit can input video data of the baby into AI and have the AI ​​send the video in real time.

[0128] When notifying, the notification unit can store the baby's sleep data in the cloud for long-term analysis. For example, the notification unit can store the baby's sleep data in the cloud and analyze long-term sleep patterns. The notification unit can also store the baby's sleep data in the cloud to help monitor the baby's health. The notification unit can also store the baby's sleep data in the cloud to help with future improvements. In this way, storing the baby's sleep data in the cloud enables long-term analysis. Some or all of the above-mentioned processing in the notification unit may be performed using AI, or may be performed without using AI. For example, the notification unit can input the baby's sleep data into AI and have the AI ​​store the data in the cloud and perform long-term analysis. === Hard Collateral 1-1 === Each of the multiple elements including the generation unit, playback unit, monitoring unit, adjustment unit, and notification unit described above is realized, for example, by at least one of the smart device 14 and the data processing device 12. For example, the generation unit is realized by the specific processing unit 290 of the data processing device 12 and generates a lullaby for the baby using a generation AI. The playback unit is realized by the control unit 46A of the smart device 14 and plays the generated lullaby. The monitoring unit monitors the baby's condition using the camera 42 and temperature sensor of the smart device 14. The adjustment unit is realized by the specific processing unit 290 of the data processing device 12 and adjusts the temperature of the air conditioner based on information obtained from the monitoring unit. The notification unit is realized by the control unit 46A of the smart device 14 and notifies the parent's smartphone when the baby falls asleep or when an abnormality is detected. === Hard Collateral 1-2 === Each of the multiple elements including the above-mentioned generation unit, playback unit, monitoring unit, adjustment unit, and notification unit is realized, for example, by at least one of the smart glasses 214 and the data processing device 12. For example, the generation unit is realized by the specific processing unit 290 of the data processing device 12 and generates a lullaby for the baby using a generation AI. The playback unit is realized by the control unit 46A of the smart glasses 214 and plays the generated lullaby. The monitoring unit monitors the baby's condition using the camera 42 and temperature sensor of the smart glasses 214. The adjustment unit is realized by the specific processing unit 290 of the data processing device 12 and adjusts the air conditioner temperature based on information obtained from the monitoring unit. The notification unit is realized by the control unit 46A of the smart glasses 214 and notifies the parent's smartphone when the baby falls asleep or when an abnormality is detected. === Hard Collateral 1-3 === Each of the multiple elements including the above-mentioned generation unit, playback unit, monitoring unit, adjustment unit, and notification unit is realized, for example, by at least one of the headset-type terminal 314 and the data processing device 12. For example, the generation unit is realized by the specific processing unit 290 of the data processing device 12 and generates a lullaby for the baby using a generation AI. The playback unit is realized by the control unit 46A of the headset-type terminal 314 and plays the generated lullaby. The monitoring unit monitors the baby's condition using the camera 42 and temperature sensor of the headset-type terminal 314. The adjustment unit is realized by the specific processing unit 290 of the data processing device 12 and adjusts the temperature of the air conditioner based on information obtained from the monitoring unit. The notification unit is realized by the control unit 46A of the headset-type terminal 314 and notifies the parent's smartphone when the baby falls asleep or when an abnormality is detected. === Hard Collateral 1-4 === Each of the multiple elements including the generation unit, playback unit, monitoring unit, adjustment unit, and notification unit described above is realized, for example, by at least one of the robot 414 and the data processing device 12. For example, the generation unit is realized by the specific processing unit 290 of the data processing device 12 and generates a lullaby for the baby using a generation AI. The playback unit is realized by the control unit 46A of the robot 414 and plays the generated lullaby. The monitoring unit monitors the baby's condition using the camera 42 and temperature sensor of the robot 414. The adjustment unit is realized by the specific processing unit 290 of the data processing device 12 and adjusts the temperature of the air conditioner based on information obtained from the monitoring unit. The notification unit is realized by the control unit 46A of the robot 414 and notifies the parent's smartphone when the baby falls asleep or when an abnormality is detected.

[0129] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0130] The generator can collect environmental sounds that occur while the baby is sleeping and generate a lullaby based on those sounds. For example, the generator can collect the sound of rain heard from outside the baby's room and generate a lullaby that incorporates that sound. The generator can also collect the sound of wind heard while the baby is sleeping and generate a relaxing melody based on that sound. Furthermore, the generator can collect white noise generated in the baby's room and generate a lullaby that incorporates that sound. This allows the baby to sleep more soundly by incorporating environmental sounds that he or she is accustomed to hearing.

[0131] The monitoring unit can analyze audio data generated while the baby is sleeping and evaluate the quality of the baby's sleep. For example, the monitoring unit can analyze the rhythm of the baby's breathing to evaluate whether the baby is in deep sleep. The monitoring unit can also analyze the number of times the baby rolls over to evaluate the quality of sleep. Furthermore, the monitoring unit can analyze the pattern of the baby's crying to evaluate the extent to which sleep interruptions are occurring. This allows for a detailed evaluation of the baby's sleep quality and provides a more appropriate method for putting the baby to sleep.

[0132] The adjustment unit can analyze environmental sounds generated while the baby is sleeping in real time and adjust the temperature and airflow of the air conditioner based on the sounds. For example, if the noise heard from outside the baby's room is loud, the adjustment unit can reduce the airflow of the air conditioner to create a quiet environment. Also, if the white noise generated in the baby's room is low, the adjustment unit can adjust the temperature of the air conditioner to provide a comfortable environment. Furthermore, if the sound of rain heard from outside the baby's room is loud, the adjustment unit can increase the temperature of the air conditioner to provide a warm environment. In this way, a more comfortable sleeping environment can be provided by making adjustments according to the environmental sounds generated while the baby is sleeping.

[0133] The notification unit can analyze environmental sounds generated while the baby is sleeping and notify the parent based on the sounds. For example, the notification unit can send an alert to the parent if there is a loud noise coming from outside the baby's room. The notification unit can also send a notification to the parent if there is little white noise coming from inside the baby's room. Furthermore, the notification unit can also send a notification to the parent if there is a loud sound of rain coming from outside the baby's room. In this way, by sending a notification based on the environmental sounds generated while the baby is sleeping, the parent can take appropriate action.

[0134] The generator can estimate the baby's emotions and adjust the lullaby lyrics based on the estimated emotions. For example, if the baby is feeling anxious, the generator AI can generate lyrics that provide a sense of security. Also, if the baby is excited, the generator AI can generate lyrics that calm the baby. Also, if the baby is crying, the generator AI can generate lyrics that comfort the baby. This allows for more effective lullaby placement by generating lyrics that correspond to the baby's emotions.

[0135] The monitoring unit can estimate the baby's emotions and adjust the monitoring frequency based on the estimated baby's emotions. For example, the monitoring unit can increase the monitoring frequency if the baby feels anxious. The monitoring unit can also keep the monitoring frequency constant if the baby is relaxed. The monitoring unit can also maximize the monitoring frequency if the baby is crying. This allows for more effective monitoring by adjusting the monitoring frequency according to the baby's emotions.

[0136] The adjustment unit can estimate the baby's emotions and adjust the temperature of the air conditioner based on the estimated emotions. For example, if the baby feels anxious, the adjustment unit can slightly increase the temperature of the air conditioner. Alternatively, if the baby feels relaxed, the adjustment unit can keep the temperature constant. Alternatively, if the baby is crying, the adjustment unit can slightly decrease the temperature of the air conditioner. This allows for temperature adjustment according to the baby's emotions, providing a more comfortable sleeping environment.

[0137] The notification unit can estimate the baby's emotion and adjust the content of the notification based on the estimated baby's emotion. For example, if the baby is feeling anxious, the notification unit can send a detailed notification to the parent. If the baby is relaxed, the notification unit can also send a brief notification to the parent. If the baby is crying, the notification unit can also send an urgent notification to the parent. In this way, by adjusting the content of the notification according to the baby's emotion, more appropriate information can be provided to the parent.

[0138] The playback unit can estimate the baby's emotions and adjust the timing of lullaby playback based on the estimated baby's emotions. For example, if the baby is feeling anxious, the playback unit can immediately play a lullaby. If the baby is relaxed, the playback unit can also play a lullaby with a slight delay. If the baby is crying, the playback unit can immediately play a lullaby. This allows for more effective lulling of the baby to sleep by adjusting the playback timing according to the baby's emotions.

[0139] The generator can estimate the baby's emotions and adjust the melody and tempo of the lullaby based on the estimated emotions. For example, if the baby is feeling anxious, the generator AI can generate a calm and relaxing melody. If the baby is excited, the generator AI can also generate a lullaby with a slow tempo. If the baby is crying, the generator AI can also generate a lullaby with a calming melody and tempo. This allows for more effective lullaby placement by generating lullabies that suit the baby's emotions.

[0140] The processing flow of the second embodiment will be briefly explained below.

[0141] Step 1: The generator uses AI to generate a lullaby for the baby. For example, if the baby won't fall asleep, it generates a new lullaby. It can also generate a lullaby based on information about how long it takes other users of the same system to fall asleep. Step 2: The playback unit plays the lullaby generated by the generation unit. For example, the playback unit can estimate the baby's emotion and adjust the timing of playing the lullaby based on the estimated emotion of the baby. Step 3: The monitoring unit monitors the baby's condition using a camera and temperature sensor. For example, it can measure the baby's body temperature and heart rate in real time and detect any abnormalities. Step 4: The adjustment unit adjusts the temperature of the air conditioner based on the information obtained by the monitoring unit. For example, the temperature of the air conditioner can be adjusted based on the baby's body temperature. Step 5: The notification unit sends a notification to the parent's smartphone when the baby falls asleep or if it detects any abnormalities. For example, it can notify the parent in real time of abnormalities in the baby's body temperature or heart rate.

[0142] 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.

[0143] 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> Examples of generative AIs include the data generation model 58, such as a neural network model (e.g., a neural network model), and a neural network model (e.g., a neural network model). 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 speech, text data indicating text, and image data indicating an image is also input to the data generation model 58. 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. The specification processing unit 290 performs the above-mentioned specification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0144] Furthermore, the processing by the data processing system 10 described above is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart device 14, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart device 14. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the smart device 14 or an external device, and the smart device 14 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0145] The correspondence between each part and the device or control part is not limited to the example described above, and various modifications are possible.

[0146] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0147] 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.

[0148] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and 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 and / or a LAN.

[0149] 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.

[0150] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0151] 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 user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0152] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for 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.

[0153] 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.

[0154] 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.

[0155] 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. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0156] In the smart glasses 214, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. The smart glasses 214 also have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0157] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0158] 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.

[0159] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. 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. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0160] The data processing system 210 according to the second embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 210 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart glasses 214, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart glasses 214. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the smart glasses 214 or an external device, etc., and the smart glasses 214 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0161] The correspondence between each part and the device or control part is not limited to the example described above, and various modifications are possible.

[0162] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0163] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0164] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and 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 and / or a LAN.

[0165] 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.

[0166] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0167] 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 user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0168] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for 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.

[0169] 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.

[0170] 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.

[0171] 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. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0172] In the headset type terminal 314, the identification process is performed by the processor 46. A identification program 60 is stored in the storage 50. The processor 46 reads the identification program 60 from the storage 50 and executes the read identification program 60 on the RAM 48. The identification process is realized by the processor 46 operating as a control unit 46A in accordance with the identification program 60 executed on the RAM 48. Note that the headset type terminal 314 has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can also perform processing similar to that of the identification processing unit 290 using these models.

[0173] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0174] 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.

[0175] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. 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. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0176] The data processing system 310 according to the third embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 310 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the headset type terminal 314, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the headset type terminal 314. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the headset type terminal 314 or an external device, etc., and the headset type terminal 314 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0177] The correspondence between each part and the device or control part is not limited to the example described above, and various modifications are possible.

[0178] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0179] 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.

[0180] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and 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 and / or a LAN.

[0181] 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.

[0182] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0183] 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 image sensor or a CCD image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0184] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for 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.

[0185] The control object 443 includes a display device, LEDs in the eyes, and motors that drive 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.

[0186] 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.

[0187] 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.

[0188] 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. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0189] In the robot 414, the processor 46 performs the identification process. The storage 50 stores the identification program 60. The processor 46 reads the identification program 60 from the storage 50 and executes the read identification program 60 on the RAM 48. The identification process is realized by the processor 46 operating as the control unit 46A in accordance with the identification program 60 executed on the RAM 48. The robot 414 also has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can perform the same process as the identification processing unit 290 using these models.

[0190] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0191] 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.

[0192] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. 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. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0193] The data processing system 410 according to the fourth embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 410 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the robot 414, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the robot 414. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the robot 414 or an external device, etc., and the robot 414 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0194] The correspondence between each part and the device or control part is not limited to the example described above, and various modifications are possible.

[0195] 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.

[0196] FIG. 9 illustrates 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 behaviors arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion encompasses both emotions 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.

[0197] 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.

[0198] 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).

[0199] 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 expressed, and when they approach the ideal, a state of pleasure is expressed. Emotions can also be created for robots, cars, 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 expressed, and when they approach the ideal, a state of pleasure is expressed. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on speech emotion recognition and brain physiological signal analysis systems for emotions, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the area called "reaction," where sensation is dominant. The right half of the emotion map lists emotions belonging to the area called "situation," where situational awareness is dominant.

[0200] 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."

[0201] 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.

[0202] In the above embodiment, an example was given in which a specific process is performed by one computer 22, but the technology disclosed herein is not limited to this, and distributed processing of the specific process may be performed by multiple computers including computer 22.

[0203] 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.

[0204] 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.

[0205] 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.

[0206] The hardware resource for executing a specific process can be any of the following types of processors: A processor, for example, 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. A processor also includes 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.

[0207] The hardware resource that executes the specific process 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 process may be a single processor.

[0208] 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.

[0209] 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.

[0210] In the above example, the first to fourth embodiments have been described separately, but some or all of these embodiments may be combined. The smart device 14, smart glasses 214, headset terminal 314, and robot 414 are merely examples, and they may be combined, or other devices may be used. In the above example, the first and second embodiments have been described separately, but they may be combined.

[0211] 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.

[0212] 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.

[0213] [Explanation of symbols]

[0214] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot

Claims

1. a generator for generating a lullaby; a playback unit that plays the lullaby generated by the generation unit; A monitoring unit that monitors the baby's condition, an adjustment unit that adjusts the temperature of the air conditioner based on the information obtained by the monitoring unit; A notification unit that notifies the user when the baby falls asleep or when an abnormality is detected. A system characterized by:

2. The generation unit Generate a new lullaby if your baby doesn't sleep 2. The system of claim 1.

3. The generation unit Generate lullabies based on information about the time other users fall asleep using the same service 2. The system of claim 1.

4. The monitoring unit Monitor your baby's condition using cameras or temperature sensors 2. The system of claim 1.

5. The adjustment unit Adjust the temperature of your air conditioner based on your baby's temperature 2. The system of claim 1.

6. The notification unit When the baby falls asleep or if an abnormality is detected, a notification is sent to the parent's smartphone.

2. The system of claim 1.

7. The generation unit Estimate the baby's emotions and adjust the lullaby melody and tempo based on the estimated emotions 2. The system of claim 1.

8. The generation unit Analyze your baby's past sleep patterns and select the best lullaby generation method 2. The system of claim 1.

Images