Necklace-type terminal and data processing system

Abstract

We provide a necklace-type terminal and data processing system that enable comfortable air conditioning management for the user. [Solution] The necklace-type terminal comprises a data collection unit that collects the wearer's biometric data and environmental data including the temperature and humidity around the wearer; a processing unit that performs specific processing using the biometric data, environmental data, and a specific algorithm that evaluates the wearer's comfort level with respect to the air-conditioned environment; and a communication unit that transmits the results of the specific processing to an air conditioning device that conditioned the air in the indoor space where the wearer is located. The processing unit performs a process to calculate air conditioning settings that take into account the wearer's physical condition, temperature, and humidity as specific processing, and the communication unit transmits a control signal corresponding to the air conditioning settings to the air conditioning device as a result of the specific processing.

Description

Technical Field

[0004] , ,

[0005] , , ,

[0001] The technology of the present disclosure relates to a necklace-type terminal and a data processing system.

Background Art

[0002] Patent Document 1 discloses a persona chatbot control method performed by at least one processor, including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a 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

Summary of the Invention

Problems to be Solved by the Invention

[0004] However, in the prior art, there is room for improvement in performing comfortable air conditioning management for users.

Means for Solving the Problems

[0005] A first aspect of the technology of this disclosure is a necklace-type terminal comprising: a data collection unit that collects the wearer's biometric data and environmental data including the temperature and humidity around the wearer; a processing unit that performs specific processing using the biometric data, the environmental data, and a specific algorithm for evaluating the wearer's comfort level with respect to the air-conditioned environment; and a communication unit that transmits the results of the specific processing to an air conditioning device that provides air conditioning for the indoor space in which the wearer is present, wherein the processing unit performs processing to calculate air conditioning settings considering the wearer's physical condition, the temperature, and the humidity as the specific processing, and the communication unit transmits a control signal corresponding to the air conditioning settings to the air conditioning device as a result of the specific processing.

[0006] A second aspect of the technology of the present disclosure is a necklace-type terminal of the first aspect, wherein the processing unit calculates the air conditioning settings by inputting a prompt message to a generating AI model instructing it to calculate air conditioning settings that take into account the wearer's physical condition, temperature, and humidity, based on the biometric data and the environmental data, as a specific processing step.

[0007] A third aspect of the technology of the present disclosure is a necklace-type terminal of the first aspect, comprising an emotion engine that estimates the emotions contained in the speech of the wearer regarding the air conditioning environment, wherein the processing unit calculates the air conditioning setting taking into account the emotions, the wearer's physical condition, the temperature, and the humidity.

[0008] A fourth aspect of the technology of this disclosure is a necklace-type terminal of the third aspect, wherein the processing unit inputs a prompt message to a generating AI model instructing it to propose an air conditioning setting suitable for the wearer's physical condition based on the biometric data and the environmental data, thereby determining the content of the utterance that proposes the air conditioning setting suitable for the wearer's physical condition, and the communication unit generates information to reproduce the determined utterance.

[0009] A fifth aspect of the technology of this disclosure is a necklace-type terminal of the fourth aspect, wherein the processing unit uses a generating AI model to adjust the speech content based on the emotions contained in the speech made by the wearer regarding the air conditioning environment after the speech content has been reproduced, and the communication unit generates information for reproducing the adjusted speech content.

[0010] A sixth aspect of the technology of the present disclosure is a data processing system comprising: an input unit that inputs biometric data of a wearer wearing the necklace-type terminal, detected by a sensor included in the necklace-type terminal, and environmental data including the temperature and humidity around the wearer; a processing unit that performs specific processing using the biometric data, the environmental data, and a specific algorithm for evaluating the wearer's comfort level with respect to the air-conditioned environment; and an output unit that transmits the results of the specific processing to an air conditioning device that provides air conditioning for the indoor space where the wearer is located, wherein the processing unit performs processing to calculate air conditioning settings considering the wearer's physical condition, the temperature, and the humidity as the specific processing, and the output unit transmits a control signal corresponding to the air conditioning settings to the air conditioning device as a result of the specific processing.

[0011] A seventh aspect of the technology of this disclosure is a data processing system of the sixth aspect, wherein the processing unit calculates the air conditioning settings by inputting a prompt statement to a generating AI model instructing it to calculate air conditioning settings that take into account the wearer's physical condition, temperature, and humidity, based on the biometric data and the environmental data, as a specific processing step.

[0012] An eighth aspect of the technology of this disclosure is a data processing system of the sixth aspect, comprising an emotion engine that estimates emotions contained in speech made by the wearer regarding the air conditioning environment, wherein the processing unit calculates the air conditioning settings taking into account the emotions, the wearer's physical condition, the temperature, and the humidity.

[0013] A ninth aspect of the technology of this disclosure is a data processing system of the eighth aspect, wherein the processing unit inputs a prompt statement to a generating AI model instructing it to propose an air conditioning setting suitable for the wearer's physical condition based on the biometric data and the environmental data, thereby determining the content of the utterance that proposes the air conditioning setting suitable for the wearer's physical condition, and the output unit reproduces the determined utterance.

[0014] A tenth aspect of the technology of this disclosure is a data processing system of the ninth aspect, wherein the processing unit uses a generating AI model to adjust the speech content based on the emotions contained in the speech made by the wearer regarding the air conditioning environment after the playback of the speech content, and the output unit plays back the adjusted speech content. [Brief explanation of the drawing]

[0015] [Figure 1] Figure 1 is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] Figure 2 is a conceptual diagram showing an example of the main functions of a data processing device and a necklace-type terminal according to the first embodiment. [Figure 3] Figure 3 is a side view showing the configuration of a necklace-type terminal according to the first embodiment. [Figure 4] Figure 4 is a top view showing the configuration of a necklace-type terminal according to the first embodiment. [Figure 5] Figure 5 is a schematic diagram showing the functional configuration of the control unit of the necklace-type terminal according to the first embodiment. [Figure 6] Figure 6 is a schematic diagram showing the functional configuration of the specific processing unit of the data processing device according to the first embodiment. [Figure 7] Figure 7 is a schematic diagram showing an example of the operation flow of a specific process by the data processing device according to the first embodiment. [Figure 8] Figure 8 is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 9]FIG. 9 is a conceptual diagram showing an example of the main functions of a data processing apparatus and a necklace-type terminal according to the second embodiment. [Figure 10] FIG. 10 is a diagram schematically showing the functional configuration of a control unit of a necklace-type terminal according to the second embodiment. [Figure 11] FIG. 11 is a diagram showing a sequence chart of specific processing by a data processing apparatus according to the second embodiment. [Figure 12] FIG. 12 is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 13] FIG. 13 is a conceptual diagram showing an example of the main functions of a data processing apparatus and a necklace-type terminal according to the third embodiment. [Figure 14] FIG. 14 is a diagram schematically showing the functional configuration of a control unit of a necklace-type terminal according to the third embodiment. [Figure 15] FIG. 15 is a diagram showing a sequence chart of specific processing by a data processing apparatus according to the third embodiment.

Embodiments for Carrying Out the Invention

[0016] Hereinafter, an example of an embodiment of a data processing apparatus, a data processing method, and a program according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0017] First, the terms used in the following description will be explained.

[0018] In the following embodiments, the signed processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Furthermore, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), or an APU (Accelerated Processing Unit).

[0019] In the following embodiments, signed RAM (Random Access Memory) is a memory that temporarily stores information and is used as work memory by the processor.

[0020] In the following embodiments, the signed storage is one or more non-volatile storage devices that store various programs and various parameters. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes.

[0021] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0022] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0023] [First Embodiment] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0024] As shown in Figure 1, the data processing system 10 may include a data processing device 12 and a necklace-type terminal 14. An example of the data processing device 12 is a server. In the first embodiment, the data processing device 12 is an example of a "data processing device" according to the technology of this disclosure, and the necklace-type terminal 14 is an example of a "necklace-type terminal" according to the technology of this disclosure.

[0025] The data processing device 12 may include a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 may include a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 may be connected to a bus 34. The database 24 and the communication interface 26 may also be connected to the bus 34. The communication interface 26 may be connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0026] The necklace-type terminal 14 may include a computer 36, a microphone 38, a sensor 39, a speaker 40, a camera 42, and a communication interface 44. The computer 36 may include a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 may be connected to a bus 52. The microphone 38, speaker 40, and camera 42 may also be connected to a bus 52.

[0027] The user 20 wearing the necklace-type terminal 14 may be, for example, a patient whose health condition is being diagnosed, or a regular user.

[0028] The microphone 38 picks up the voice emitted by the user 20, who is wearing the necklace-type terminal 14, as well as sounds around the user 20. The microphone 38 also receives instructions from the user 20 by receiving the voice emitted by the user 20. The microphone 38 captures the voice emitted by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 40 outputs audio according to the instructions from the processor 46. The speaker 40 is, for example, a directional speaker and outputs audio towards the user 20's ears.

[0029] Sensor 39 is a sensor that detects biometric data of the user 20, who is wearing the necklace-type terminal. For example, sensor 39 may be a heart rate sensor or a blood oxygen sensor.

[0030] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0031] Communication I / F 44 may be connected to network 54. Communication I / F 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54.

[0032] Figure 2 shows an example of the main functions of the data processing device 12 and the necklace-type terminal 14.

[0033] As shown in Figure 2, in the data processing device 12, specific processing is performed by the processor 28. The storage 32 stores a specific processing program 56. 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 according to the specific processing program 56 executed on the RAM 30.

[0034] The storage 32 stores the data generation model 58. The data generation model 58 is used for specific processing in the specific processing unit 290. The storage 32 also includes a data storage unit 54.

[0035] In the necklace-type terminal 14, data acquisition processing is performed by the processor 46. The storage 50 stores the data acquisition program 60. The processor 46 reads the data acquisition program 60 from the storage 50 and executes the read data acquisition program 60 on the RAM 48. The data acquisition processing is realized by the processor 46 operating as a control unit 46A according to the data acquisition program 60 executed on the RAM 48.

[0036] As shown in Figures 3 and 4, the necklace-type terminal 14 may include a plurality of microphones 38, a plurality of sensors 39, a plurality of speakers 40, and a plurality of cameras 42. Figures 3 and 4 show an example in which two microphones 38 are positioned on the front side of the user 20 when the user 20 wears the necklace-type terminal 14. Also shown is an example in which two sensors 39 are positioned on the right and left sides of the user 20 when the user 20 wears the necklace-type terminal 14. An example is shown in which two speakers 40 are positioned on the right rear and left rear sides of the user 20 when the user 20 wears the necklace-type terminal 14. An example is shown in which two cameras 42 are positioned on the right front and left front sides of the user 20 when the user 20 wears the necklace-type terminal 14. An example is shown in which two sensors 39 are positioned inside the necklace-type terminal 14 so as to contact the user 20's neck when the user 20 wears the necklace-type terminal 14.

[0037] Next, we will explain the processing of the control unit 46A when the necklace-type terminal 14 performs data collection processing to collect data.

[0038] In the data collection process of the first embodiment, the user's biometric data is collected in real time. In addition to biometric data, all surrounding environment data of the user is also collected. This makes it possible to detect early signs of conditions such as Alzheimer's disease and dementia. It also allows for monitoring of the user's health condition (e.g., heart disease).

[0039] The control unit 46A may include a data acquisition unit 100 and a communication unit 102, as shown in Figure 5.

[0040] The data acquisition unit 100 collects the outputs of the microphone 38, sensor 39, and camera 42, respectively.

[0041] The communication unit 102 transmits the outputs of the microphone 38, sensor 39, and camera 42, which are collected by the data acquisition unit 100, to the data processing unit 12.

[0042] Next, we will describe the processing of the specific processing unit 290 when the data processing device 12 performs specific processing to obtain a response corresponding to a user utterance.

[0043] In the specific processing in the first embodiment, a response corresponding to the user utterance picked up by the microphone 38 of the necklace-type terminal 14 is obtained using the data generation model 58.

[0044] The specific processing unit 290 may include an input unit 292, a processing unit 294, and an output unit 296, as shown in Figure 6.

[0045] The input unit 292 stores the outputs of the microphone 38, sensor 39, and camera 42, respectively, received from the necklace-type terminal 14, in the data storage unit 54.

[0046] The input unit 292 acquires user utterances received by the necklace-type terminal 14. Specifically, it acquires user utterances picked up by the microphone 38 of the necklace-type terminal 14.

[0047] The processing unit 294 performs specific processing using the data generation model 58. Specifically, it inputs a prompt including user utterances to the data generation model 58 and obtains a generation result. At this time, the outputs of the sensor 39 and camera 42 collected by the data acquisition unit 100 may also be included in the prompt.

[0048] The output unit 296 transmits the result of the specific processing to the necklace-type terminal 14. In the necklace-type terminal 14, the control unit 46A causes the speaker 40 to output the result of the specific processing. In this way, a response corresponding to the user utterance picked up by the microphone 38 is output to the user 20 by the speaker 40. The microphone 38 further acquires the user utterance in response to the result of the specific processing. The control unit 46A transmits the audio data indicating the user utterance acquired by the microphone 38 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the user utterance.

[0049] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include those described above. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions shown by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0050] The outputs of the microphone 38, sensor 39, and camera 42 stored in the data storage unit 54 are used, for example, to diagnose the health status of user 20. In this case, the outputs of the microphone 38, sensor 39, and camera 42 stored in the data storage unit 54 may be transmitted to a terminal on the medical institution's side. Alternatively, the data processing device 12 may analyze the outputs of the microphone 38, sensor 39, and camera 42 stored in the data storage unit 54 to diagnose the health status of user 20.

[0051] Next, the operation of the data processing system 10 will be explained.

[0052] First, let's explain an example of the data collection process flow.

[0053] When user 20 is wearing the necklace-type terminal 14, the data acquisition unit 100 sequentially collects the outputs of the microphone 38, sensor 39, and camera 42. The communication unit 102 sequentially transmits the outputs of the microphone 38, sensor 39, and camera 42 collected by the data acquisition unit 100 to the data processing unit 12.

[0054] Next, an example of the flow of a specific process will be explained with reference to Figure 7. Here, the input unit 292 of the data processing device 12 sequentially acquires the outputs of the microphone 38, sensor 39, and camera 42 received from the necklace-type terminal 14 and stores them in the data storage unit 54.

[0055] In step S300, the processing unit 294 determines whether a predetermined trigger condition is met. Specifically, the trigger condition may be that the user utterance picked up by the microphone 38 contains a specific word (for example, the name of the agent installed in the necklace-type terminal 14) or a phrase (for example, "Hi! XX" (where XX is the name of the agent)).

[0056] If the trigger condition is met in step S300 (step S300; Yes), the data processing system 10 proceeds to step S301. On the other hand, if the trigger condition is not met in step S300 (step S300; No), the data processing system 10 terminates the specific processing.

[0057] In step S301, the processing unit 294 generates a prompt by adding an instruction to obtain the result of a specific process to the text representing the user utterance picked up by the microphone 38.

[0058] For example, a prompt such as "The user is speaking as follows: XXX. Please respond as the agent." (XXX is the user's speech) can be generated. Alternatively, the outputs of sensor 39 and camera 42 can be added to the prompt to generate a prompt such as "This is biometric data representing the user's heart rate and video data representing the user's surroundings. The user is also speaking as follows: XXX. Please respond as the agent." (XXX is the user's speech)

[0059] In step S303, the processing unit 294 inputs the generated prompt to the data generation model 58 and obtains the result of a specific process based on the output of the data generation model 58.

[0060] In step S304, the output unit 296 outputs the result of the specific processing to the necklace-type terminal 14 and terminates the specific processing.

[0061] [Second Embodiment] (Premise and problems of the second embodiment) The air conditioning environment that a user finds comfortable can vary greatly depending on the user's physical condition at the time and the surrounding environment. For example, a user's body temperature tends to be high immediately after exercise, so a user who has exercised outdoors may feel uncomfortable entering a room with a high temperature. However, if they enter a room with low humidity and a moderately low temperature, they may feel comfortable with the indoor air conditioning environment. Similarly, a user who has spent time outdoors in the cold winter months may feel uncomfortable entering a room without air conditioning or heating, even if the room temperature is higher than the outside temperature, due to their low body temperature. However, if the heating is set to an appropriate temperature and the system is turned on for a while, the user may feel comfortable with the indoor air conditioning environment.

[0062] Conventional necklace-type devices have functions to monitor the user's health status, such as biometric data including heart rate, blood pressure, and blood oxygen levels. However, simply monitoring biometric data may not be sufficient to create a comfortable air conditioning environment for the user, especially within the room where they are located. Therefore, there was room for improvement in conventional necklace-type devices in terms of maintaining the user's health and providing a comfortable air conditioning environment.

[0063] In view of the above, the second embodiment describes an example configuration of a necklace-type terminal equipped with an air conditioning management function in order to maintain the user's health and provide the user with a comfortable air conditioning environment. The necklace-type terminal according to the second embodiment may be configured to perform comfortable air conditioning management for the user, in particular using the user's biometric data, environmental data, and a specific program (evaluation program). In the second embodiment, functions, configurations, etc. that are the same as or equivalent to those in the first embodiment are denoted by the same reference numerals as in the first embodiment, and redundant explanations are omitted.

[0064] Figure 8 shows an example of the configuration of a data processing system 10-2 according to the second embodiment. The data processing system 10-2 may include a data processing device 12 and a necklace-type terminal 14-2. In the second embodiment, the data processing device 12 is an example of a "data processing device" according to the technology of this disclosure, and the necklace-type terminal 14-2 is an example of a "necklace-type terminal" according to the technology of this disclosure.

[0065] The necklace-type terminal 14-2 may include a computer 36, a microphone 38, a sensor 39, a speaker 40, a camera 42, and a communication interface 44. The computer 36 may include a processor 46-2, RAM 48, and storage 50-2. The processor 46-2, RAM 48, and storage 50-2 may be connected to the bus 52. The microphone 38, speaker 40, and camera 42 may also be connected to the bus 52.

[0066] The user 20, who is wearing the necklace-type terminal 14-2, may be interpreted as being subject to a comfortable air-conditioned environment provided by the data processing system 10-2.

[0067] Figure 9 shows an example of the main functions of the data processing device 12 and the necklace-type terminal 14-2. In the necklace-type terminal 14-2, data collection processing and specific processing are performed by the processor 46-2.

[0068] The processor 46-2 reads the data acquisition program 60-2 from the storage 50-2 and executes the read data acquisition program 60-2 on the RAM 48. The data acquisition process is realized by the processor 46-2 operating as a control unit 46A according to the data acquisition program 60-2 executed on the RAM 48.

[0069] The processor 46-2 reads a specific processing program 61 from the storage 50-2 and executes the read specific processing program 61 on the RAM 48. The specific processing is realized by the processor 46-2 operating as a specific processing unit 46B according to the specific processing program 61 executed on the RAM 48.

[0070] Storage 50-2 stores the data collection program 60-2, the identification processing program 61, the data generation model 62, the emotion identification model 63, and the evaluation program 64. The data generation model 62, the emotion identification model 63, and the evaluation program 64 are used for identification processing in the identification processing unit 46B.

[0071] The data generation model 62 is a so-called generative AI. An example of the data generation model 62 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 62 is obtained by performing deep learning on a neural network. The data generation model 62 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 62 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0072] The emotion identification model 63 can be interpreted as an emotion engine that estimates the emotions contained in the utterances made by the user 20, who is wearing the device, regarding the air conditioning environment.

[0073] The evaluation program 64 may be interpreted as a program that contains a specific algorithm for evaluating the comfort level of user 20 in an air-conditioned environment. The evaluation program 64 may be interpreted as a program that, for example, takes into account the room temperature, humidity in the space where user 20 is present, and user 20's attributes (gender, age, nationality, etc.), and calculates, for example, the room temperature, temperature, and atmospheric pressure that user 20 would find comfortable when in normal health, and the room temperature, temperature, and atmospheric pressure that user 20 might find comfortable even when in poor health.

[0074] The processor 46-2 may calculate the air conditioning settings using the data generation model 62 instead of the evaluation program 64. Specifically, as a specific process, the processor 46-2 may calculate the air conditioning settings by inputting a prompt message to the generating AI model (data generation model 62) instructing it to calculate air conditioning settings that take into account the wearer's physical condition, temperature, and humidity, based on biological data and environmental data.

[0075] Next, the functions of the control unit 46A and the specific processing unit 46B will be described with reference to Figure 10. The control unit 46A may include a data acquisition unit 100-2 and a communication unit 102-2. The specific processing unit 46B may include an input unit 103 and a processing unit 104.

[0076] The data acquisition unit 100-2 may collect the outputs of the microphone 38, sensor 39, and camera 42 shown in Figure 8, and may also collect environmental data.

[0077] The data collection unit 100-2 may collect biometric data such as heart rate, blood oxygen saturation, and body temperature. The biometric data is not limited to these and may include, for example, the number of steps taken by user 20, the number of stairs climbed and descended by user 20, and the walking speed of user 20.

[0078] The data collection unit 100-2 may collect environmental data, such as temperature and humidity around the location where user 20 is located. The environmental data is not limited to these and may also include, for example, the altitude (elevation, sea level, etc.) of the location where user 20 is located, and climate information of the location where user 20 is located (cloudy, sunny, cloudy, far-infrared radiation amount, ultraviolet radiation amount, etc.). The biometric data and environmental data may include data detected by the necklace-type terminal 14, and may also include data detected by terminal devices other than the necklace-type terminal 14.

[0079] The data collected by the data acquisition unit 100-2 may be input to the processing unit 104 via the input unit 103. The processing unit 104 may perform specific processing using the biological data, environmental data, and evaluation program 64.

[0080] (First example of specific processing by processing unit 104) Since user 20's body temperature tends to be high immediately after exercise, user 20 who has exercised outdoors may feel uncomfortable entering a room with a high room temperature. However, if user 20 enters a room with low humidity and a moderately low room temperature, user 20 may find the indoor air-conditioned environment comfortable. For example, if user 20, who has exercised outdoors and has a high body temperature, returns to a room where the air conditioner is set to 27°C, the processing unit 104 evaluates user 20's comfort level using biometric data, environmental data, and the evaluation program 64. For example, if user 20's body temperature is around 37°C, heart rate is around 80-120, blood oxygen saturation is within the normal range, and walking speed during a certain period before returning home is equal to running speed, the processing unit 104 may determine that user 20 has just exercised and may set the air conditioning environment to be comfortable for user 20 immediately after exercise. For example, it may be set to a room temperature of 24°C and humidity of 40%. The processing unit 104 may transmit a command to the communication unit 102-2 to operate the air conditioning system with the set air conditioning settings. As a result, the communication unit 102-2 may transmit a control signal corresponding to the air conditioning settings to the air conditioning system as a result of specific processing. The air conditioning system may be interpreted as the smart home device 200 shown in Figure 8. Specifically, the smart home device 200 may include air conditioners, dehumidifiers, humidifiers, ventilation equipment, electric heaters, underfloor heating, etc. The control signal corresponding to the air conditioning settings may also be transmitted to a management device that oversees the operation of the smart home device 200. The space to which the air conditioning environment settings are to be configured is not particularly limited and may be interpreted as, for example, the user 20's home or the user 20's private room at work.

[0081] (Second example of specific processing by processing unit 104) If a user 20 spends time outdoors in cold winter temperatures and then enters a room without air conditioning or heating, the user 20, with their lower body temperature, may find the indoor environment uncomfortable, even if the room temperature is higher than the outside temperature. For example, if a user 20 who has spent a long time (several tens of minutes to several hours) outdoors and has a low body temperature returns home to a room where the air conditioning is turned off in winter, the processing unit 104 evaluates the user 20's comfort level using biometric data, environmental data, and the evaluation program 64. For example, if the user 20's body temperature is around 36.6°C, their heart rate is around 80-120, their blood oxygen saturation is within the normal range, their walking speed during a certain period before returning home is equal to their normal walking speed, the outside temperature is 15°C or lower, and the user 20's time spent outdoors is, for example, 30 minutes or more, the processing unit 104 may determine that the user 20 spent a long time outdoors and may set the indoor air conditioning environment to a level that the user 20 would find comfortable. For example, it may set the room temperature to 29°C and the humidity to 30%. The processing unit 104 may send a command to the communication unit 102-2 to operate the air conditioning system with the set air conditioning settings. As a result, the communication unit 102-2 may send a control signal corresponding to the air conditioning settings to the air conditioning system as a result of specific processing.

[0082] (Third example of specific processing by processing unit 104) For user 20, who is unwell due to a cold, has a slight fever, and is coughing, even if the room temperature and humidity are set appropriately, the room temperature may feel low and the air may feel dry. For example, if user 20 who is unwell returns home to a room where the humidifier is turned off in winter, or if user 20 stays in a room where the humidifier is turned off in winter for a certain period of time, the processing unit 104 evaluates user 20's comfort level using biometric data, environmental data, and the evaluation program 64. For example, if user 20's body temperature is around 37.5°C, heart rate is around 80-100, and blood oxygen saturation is lower than the normal range, the processing unit 104 may determine that user 20 has a cold and set the air conditioning environment to a level that user 20 will find comfortable in the room. For example, it may set the room temperature to 30°C and the humidity to 60%. The processing unit 104 may send a command to the communication unit 102-2 to operate the air conditioning system with the set air conditioning settings. As a result, the communication unit 102-2 may transmit a control signal corresponding to the air conditioning setting to the air conditioning unit as a result of the specific processing.

[0083] (Fourth example of specific processing by processing unit 104) It is said that the human body has a mechanism to allow the brain and body to rest by lowering core body temperature when falling asleep. For example, even if the room temperature and humidity are set appropriately in the early morning or during the day when user 20 starts their activities, such an air-conditioned environment may interfere with user 20's deep sleep. For example, when user 20 sets a bedtime in advance, or at a specific time before that time, the processing unit 104 uses biometric data, environmental data, and evaluation program 64 to evaluate user 20's comfort level during sleep. For example, if user 20's body temperature is high, around 37.5°C, because they have just taken a bath, their heart rate is around 80, and their blood oxygen saturation is within the normal range, the processing unit 104 may set the air-conditioned environment to allow user 20 to fall into deep sleep by lowering user 20's body temperature. For example, it may be set to a room temperature of 23°C and humidity of 40%. Furthermore, for example, if user 20's body temperature is low, around 36.2°C, because some time has passed since user 20 took a bath, the room temperature and humidity may be changed to temporarily raise user 20's body temperature and then lower it while the user sleeps. The processing unit 104 may send a command to the communication unit 102-2 to operate the air conditioning system with the set air conditioning settings. As a result, the communication unit 102-2 may send a control signal corresponding to the air conditioning settings to the air conditioning system as a result of specific processing.

[0084] (Another example of processing by processing unit 104 1) The processing unit 104 may, as a specific process, input a prompt message to the generating AI model instructing it to calculate air conditioning settings that take into account the user's physical condition, temperature, and humidity, based on biometric data and environmental data, thereby calculating the air conditioning settings.

[0085] (Another example of processing by processing unit 104 2) The processing unit 104 may use the emotion identification model 63 to estimate the user's emotions and perform specific processing using the user's emotions. Specifically, the processing unit 104 may calculate air conditioning settings that take into account the emotions estimated by the emotion identification model 63, which is the emotion engine, as well as the user's physical condition, temperature, and humidity. For example, if user 20 says "It's a little hot," the processing unit 104 may generate a command to lower the room temperature by about 2°C. If user 20 says "It's really cold," the processing unit 104 may generate a command to raise the room temperature by about 5°C. If user 20 says "It's stiflingly hot," the processing unit 104 may generate a command to lower the room temperature by about 3°C ​​and lower the humidity by 10%.

[0086] (Another example of processing by processing unit 104 3) The processing unit 104 may determine the content of an utterance that proposes an air conditioning setting suitable for the user 20's physical condition by inputting a specific prompt sentence into the generating AI model, which instructs the AI ​​model to propose an air conditioning setting suitable for the user 20's physical condition based on biometric data and environmental data. In this case, the communication unit 102-2 may generate information to play back the utterance determined by the processing unit 104. Based on the generated information, the speaker 40 may output speech according to instructions from the processor 46-2. For example, the processing unit 104 may determine the utterance, "You may have a cold. Shall we raise the room temperature by 3°C?" to inform user 20, who is unwell with a cold and has a slight fever, of the air conditioning settings that user 20 would find comfortable indoors and the reason why.

[0087] (Another example of processing by processing unit 104 4) The processing unit 104 may use a generation AI model to adjust the speech content after playback of the aforementioned speech content, based on the emotions contained in the speech made by the user 20, the wearer, regarding the air conditioning environment. In this case, the communication unit 102-2 may generate information to play back the adjusted speech content. Based on the generated information, the speaker 40 may output sound according to instructions from the processor 46-2. For example, if the processing unit 104 informs the user 20, who tends to have a high body temperature immediately after exercise, "Shall we lower the room temperature by 3°C?" as a suggestion for setting the air conditioning environment that the user 20 finds comfortable indoors, and the user 20 then says, for example, "Lower it a little more," the processing unit 104 may adjust the speech content to "Shall we lower the room temperature by 5°C?".

[0088] Next, with reference to Figure 11, an example of operation related to specific processing by the data processing system 10-2 according to the second embodiment will be described.

[0089] In step S401, the control unit 46A may collect biometric data and environmental data detected by at least one of the terminal devices, such as a smartphone, and the necklace-type terminal 14.

[0090] In step S402, the processing unit 104 may perform specific processing to evaluate the user 20's comfort level with respect to the air conditioning environment using the biological data, environmental data, and evaluation program 64.

[0091] In step S403, the processing unit 104 may, as a result of specific processing, send a command to the communication unit 102-2 to operate the air conditioning system with the set air conditioning settings, and the communication unit 102-2 may send a control signal corresponding to the air conditioning settings to the smart home device 200.

[0092] In step S404, the smart home device 200, upon receiving the control signal, operates to achieve the set air conditioning environment.

[0093] As described above, the data processing system 10-2 according to the second embodiment can perform specific processing using biometric data, environmental data, and a specific algorithm for evaluating the user 20's comfort level with respect to the air conditioning environment, thereby enabling appropriate air conditioning control for the user 20, taking into account the user 20's physical condition and the temperature and humidity around the user 20.

[0094] [Third Embodiment] (Premise and challenges of the third embodiment) The air conditioning environment that a user finds comfortable can vary greatly depending on the user's physical condition at the time and the surrounding environment. For example, a user's body temperature tends to be high immediately after exercise, so a user who has exercised outdoors may feel uncomfortable entering a room with a high temperature. However, if they enter a room with low humidity and a moderately low temperature, they may feel comfortable with the indoor air conditioning environment. Similarly, a user who has spent time outdoors in the cold winter months may feel uncomfortable entering a room without air conditioning or heating, even if the room temperature is higher than the outside temperature, due to their low body temperature. However, if the heating is set to an appropriate temperature and the system is turned on for a while, the user may feel comfortable with the indoor air conditioning environment.

[0095] Conventional necklace-type terminals have functions to monitor the user's health status, such as biometric data including heart rate, blood pressure, and blood oxygen levels. However, simply monitoring biometric data may not be sufficient to create a comfortable air conditioning environment for the user, especially within the room where the user is located. Therefore, there was room for improvement in conventional data processing systems, including necklace-type terminals, in terms of maintaining the user's health and providing a comfortable air conditioning environment.

[0096] In view of the above, the third embodiment describes an example configuration of a data processing system including a necklace-type terminal equipped with an air conditioning management function, in order to maintain the user's health and provide the user with a comfortable air conditioning environment. The data processing system according to the third embodiment may be configured to perform comfortable air conditioning management for the user, in particular using the user's biometric data, environmental data, and a specific program (evaluation program). In the third embodiment, functions, configurations, etc. that are the same as or equivalent to those in the first embodiment are denoted by the same reference numerals as in the first embodiment, and redundant explanations are omitted.

[0097] Figure 12 shows an example of the configuration of a data processing system 10-3 according to the third embodiment. The data processing system 10-3 may include a data processing device 12-3 and a necklace-type terminal 14. An example of the data processing device 12-3 is a server. In the third embodiment, the data processing device 12-3 is an example of a "data processing device" according to the technology of this disclosure, and the necklace-type terminal 14 is an example of a "necklace-type terminal" according to the technology of this disclosure.

[0098] The data processing device 12-3 may include a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a “computer” related to the technology of this disclosure. The computer 22 may include a processor 28-3, RAM 30, and storage 32. The processor 28-3, RAM 30, and storage 32 may be connected to a bus 34.

[0099] The user 20, who is wearing the necklace-type terminal 14, may be interpreted as being subject to a comfortable air-conditioned environment provided by the data processing system 10-3.

[0100] Figure 13 shows an example of the main functions of the data processing device 12-3 and the necklace-type terminal 14. As shown in Figure 13, in the data processing device 12-3, specific processing is performed by the processor 28-3. The storage 32 stores the specific processing program 56-3. The processor 28-3 reads the specific processing program 56-3 from the storage 32 and executes the read specific processing program 56-3 on the RAM 30. The specific processing is realized by the processor 28-3 operating as a specific processing unit 290-3 according to the specific processing program 56-3 executed on the RAM 30.

[0101] Storage 32 stores the specific processing program 56-3, as well as the data generation model 58-3, the emotion identification model 65, and the evaluation program 66. The data generation model 58-3, the emotion identification model 65, and the evaluation program 66 are used for specific processing in the specific processing unit 290-3.

[0102] Data generation model 58-3 is a so-called generative AI. An example of data generation model 58-3 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58-3 is obtained by performing deep learning on a neural network. The data generation model 58-3 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58-3 infers from the input inference data according to the instructions shown by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0103] The emotion identification model 65 can be interpreted as an emotion engine that estimates the emotions contained in the utterances made by the user 20 regarding the air conditioning environment.

[0104] The evaluation program 66 may be interpreted as a program that contains a specific algorithm for evaluating the comfort level of user 20 in an air-conditioned environment. The evaluation program 66 may be interpreted as a program that, for example, takes into account the room temperature, humidity in the space where user 20 is present, and user 20's attributes (gender, age, nationality, etc.), and calculates, for example, the room temperature, temperature, and atmospheric pressure that user 20 would find comfortable when in normal health, and the room temperature, temperature, and atmospheric pressure that user 20 might find comfortable even when in poor health.

[0105] The processor 28-3 may calculate the air conditioning settings using the data generation model 58-3 instead of the evaluation program 66. Specifically, as a specific process, the processor 28-3 may calculate the air conditioning settings by inputting a prompt message into the generating AI model (data generation model 58-3) instructing it to calculate air conditioning settings that take into account the wearer's physical condition, temperature, and humidity, based on biological data and environmental data.

[0106] Next, with reference to Figure 14, the functions of the specific processing unit 290-3 will be described. The specific processing unit 290-3 may include an input unit 292-3, a processing unit 294-3, and an output unit 296-3.

[0107] The input unit 292-3 may receive biometric data and environmental data. Biometric data and environmental data may be interpreted as, for example, data detected by the necklace-type terminal 14 and data detected by terminal devices other than the necklace-type terminal 14 owned by the user 20.

[0108] The input unit 292-3 may input biometric data such as heart rate, blood oxygen saturation, and body temperature. The biometric data is not limited to these and may include, for example, the number of steps taken by user 20, the number of stairs climbed or descended by user 20, and the walking speed of user 20.

[0109] The input unit 292-3 may input environmental data, such as temperature and humidity around the location where user 20 is located. The environmental data is not limited to these and may also include, for example, the altitude (elevation, sea level, etc.) of the location where user 20 is located, climate information of the location where user 20 is located (cloudy, sunny, cloudy, far-infrared radiation amount, ultraviolet radiation amount, etc.), and data detected by terminal devices other than the necklace-type terminal 14.

[0110] The data input to the input unit 292-3 may be input to the processing unit 294-3. The processing unit 294-3 may perform specific processing using the biological data, environmental data, and evaluation program 66.

[0111] (First example of specific processing by processing unit 294-3) Since user 20's body temperature tends to be high immediately after exercise, user 20 who has exercised outdoors may feel uncomfortable entering a room with a high room temperature. However, if user 20 enters a room with low humidity and a moderately low room temperature, user 20 may feel comfortable with the indoor air conditioning environment. For example, if user 20, who has exercised outdoors and has a high body temperature, returns to a room where the air conditioner is set to 27°C, processing unit 294-3 evaluates user 20's comfort level using biometric data, environmental data, and evaluation program 66. For example, if user 20's body temperature is around 37°C, heart rate is around 80-120, blood oxygen saturation is within the normal range, and walking speed during a certain period before returning home is equal to running speed, processing unit 294-3 may determine that user 20 has just exercised and may set the air conditioning environment to be comfortable for user 20 immediately after exercise. For example, it may be set to a room temperature of 24°C and humidity of 40%. The processing unit 294-3 may transmit a command to the output unit 296-3 to operate the air conditioning system with the set air conditioning settings. As a result, the output unit 296-3 may transmit a control signal corresponding to the air conditioning settings to the air conditioning system as a result of specific processing. The air conditioning system may be interpreted as the smart home device 200 shown in Figure 12. Specifically, the smart home device 200 may include air conditioners, dehumidifiers, humidifiers, ventilation equipment, electric heaters, underfloor heating, etc. The control signal corresponding to the air conditioning settings may also be transmitted to a management device that oversees the operation of the smart home device 200. The space to which the air conditioning environment settings are to be configured is not particularly limited and may be interpreted as, for example, the user 20's home or the user 20's private room at work.

[0112] (Second example of specific processing by processing unit 294-3) If a user 20 who has spent time outdoors in cold winter temperatures enters a room without air conditioning or heating, the user 20, with their low body temperature, may find the indoor environment uncomfortable, even if the room temperature is higher than the outside temperature. For example, if a user 20 who has spent a long time (several tens of minutes to several hours) outdoors and has a low body temperature returns home to a room where the air conditioning is turned off in winter, the processing unit 294-3 evaluates the user 20's comfort level using biometric data, environmental data, and the evaluation program 66. For example, if the user 20's body temperature is around 36.6°C, their heart rate is around 80-120, their blood oxygen saturation is within the normal range, their walking speed during a certain period before returning home is equal to their normal walking speed, the outside temperature is 15°C or lower, and the user 20's time spent outdoors is, for example, 30 minutes or more, the processing unit 294-3 may determine that the user 20 has spent a long time outdoors and may set the indoor air conditioning environment to a level that the user 20 will find comfortable. For example, it may set the room temperature to 29°C and the humidity to 30%. The processing unit 294-3 may transmit a command to the output unit 296-3 to operate the air conditioning system with the set air conditioning settings. As a result, the output unit 296-3 may transmit a control signal corresponding to the air conditioning settings to the air conditioning system as a result of specific processing.

[0113] (Third example of specific processing by processing unit 294-3) For user 20, who is unwell due to a cold, has a slight fever, and is coughing, even if the room temperature and humidity are set appropriately, the room temperature may feel low and the air may feel dry. For example, if user 20 who is unwell returns home to a room where the humidifier is turned off in winter, or if user 20 stays in a room where the humidifier is turned off in winter for a certain period of time, processing unit 294-3 evaluates user 20's comfort level using biometric data, environmental data, and evaluation program 64. For example, if user 20's body temperature is around 37.5°C, heart rate is around 80-100, and blood oxygen saturation is lower than the normal range, processing unit 294-3 may determine that user 20 has a cold and set the air conditioning environment to a level that user 20 will find comfortable in the room. For example, it may set the room temperature to 30°C and the humidity to 60%. Processing unit 294-3 may send a command to output unit 296-3 to operate the air conditioning system with the set air conditioning settings. As a result, the output unit 296-3 may transmit a control signal corresponding to the air conditioning setting to the air conditioning unit as a result of the specific processing.

[0114] (Fourth example of specific processing by processing unit 294-3) It is said that the human body has a mechanism to allow the brain and body to rest by lowering core body temperature when falling asleep. For example, even if the room temperature and humidity are set appropriately in the early morning or during the day when user 20 starts their activities, such an air-conditioned environment may interfere with user 20's deep sleep. For example, when user 20 sets a bedtime in advance, or at a specific time before that time, the processing unit 294-3 evaluates user 20's comfort level during sleep using biometric data, environmental data, and the evaluation program 66. For example, if user 20's body temperature is high, around 37.5°C, because they have just taken a bath, their heart rate is around 80, and their blood oxygen saturation is within the normal range, the processing unit 294-3 may set the air-conditioned environment to allow user 20 to fall into deep sleep by lowering user 20's body temperature. For example, it may set the room temperature to 23°C and the humidity to 40%. Furthermore, for example, if user 20's body temperature is low, around 36.2°C, because some time has passed since user 20 took a bath, the room temperature and humidity may be changed to temporarily raise user 20's body temperature and then lower it while the user sleeps. Processing unit 294-3 may send a command to output unit 296-3 to operate the air conditioning system with the set air conditioning settings. As a result, output unit 296-3 may send a control signal corresponding to the air conditioning settings to the air conditioning system as a result of specific processing.

[0115] (Another processing example by processing unit 294-3 1) The processing unit 294-3 may, as a specific process, input a prompt message to the generating AI model instructing it to calculate air conditioning settings that take into account the user's physical condition, temperature, and humidity, based on biometric data and environmental data, thereby calculating the air conditioning settings.

[0116] (Another processing example by processing unit 294-3 2) The processing unit 294-3 may use the emotion identification model 65 to estimate the user's emotions and perform identification processing using the user's emotions. Specifically, the processing unit 294-3 may calculate air conditioning settings that take into account the emotions estimated by the emotion identification model 65, which is the emotion engine, as well as the user's physical condition, temperature, and humidity. For example, if user 20 says "It's a little hot," the processing unit 294-3 may generate a command to lower the room temperature by about 2°C. If user 20 says "It's really cold," the processing unit 294-3 may generate a command to raise the room temperature by about 5°C. If user 20 says "It's stiflingly hot," the processing unit 294-3 may generate a command to lower the room temperature by about 3°C ​​and lower the humidity by 10%.

[0117] (Another processing example by processing unit 294-3 3) The processing unit 294-3 may determine the content of the utterance that proposes an air conditioning setting suitable for the user 20's physical condition by inputting a prompt message into the generating AI model that instructs the AI ​​model to propose an air conditioning setting suitable for the user 20's physical condition based on biometric data and environmental data. In this case, the output unit 296-3 may generate information to play back the utterance determined by the processing unit 294-3. Based on the generated information, the speaker 40 of the necklace-type terminal 14 may output sound according to instructions from the processor 46-2. For example, the processing unit 294-3 may determine the utterance, "You may have a cold. Shall we raise the room temperature by 3°C?" to inform user 20, who is unwell with a cold and has a slight fever, of the air conditioning settings that user 20 would find comfortable indoors and the reason why.

[0118] (Another processing example by processing unit 294-3 4) The processing unit 294-3 may use a generation AI model to adjust the speech content after playback of the aforementioned speech content, based on the emotions contained in the speech made by the user 20, the wearer, regarding the air conditioning environment. In this case, the output unit 296-3 may generate information to play back the adjusted speech content. Based on the generated information, the speaker 40 may output sound according to instructions from the processor 46-2. For example, if the processing unit 294-3 informs the user 20, who tends to have a high body temperature immediately after exercise, "Shall we lower the room temperature by 3°C?" as a suggestion for setting the air conditioning environment that the user 20 finds comfortable indoors, and the user 20 then says, for example, "Lower it a little more," the processing unit 294-3 may adjust the speech content to "Shall we lower the room temperature by 5°C?".

[0119] Next, with reference to Figure 15, an example of operation related to specific processing by the data processing system 10-3 according to the third embodiment will be described.

[0120] In step S501, the specific processing unit 290-3 may input biometric data and environmental data detected by at least one of the terminal devices, such as a smartphone, and the necklace-type terminal 14.

[0121] In step S502, the processing unit 294-3 may perform a specific process to evaluate the comfort level of the user 20, who is wearing the air-conditioned environment, using the biological data, environmental data, and evaluation program 66.

[0122] In step S503, the processing unit 294-3 may, as a result of specific processing, send a command to the output unit 296-3 to operate the air conditioning system with the set air conditioning settings, and the output unit 296-3 may send a control signal corresponding to the air conditioning settings to the smart home device 200.

[0123] In step S504, the smart home device 200, upon receiving the control signal, operates to achieve the set air conditioning environment.

[0124] As described above, the data processing system 10-3 according to the third embodiment performs specific processing using biometric data, environmental data, and a specific algorithm for evaluating the wearer's comfort level in the air-conditioned environment, thereby enabling appropriate air conditioning control for the user 20, taking into account the user 20's physical condition and the temperature and humidity around the user 20.

[0125] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[0126] In the embodiments described above, examples were given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing method for the specific process may be used, which may involve multiple computers, including computer 22.

[0127] In the embodiments described above, examples were given in which the specific processing program 56, specific processing program 56-3, etc., are stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56, specific processing program 56-3, etc., may be stored in a portable computer-readable non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56, specific processing program 56-3, etc., stored in the non-temporary storage medium are installed in the computer 22 of the data processing device 12. Processors 28 and 28-3 execute specific processing according to the specific processing program 56, specific processing program 56-3, etc.

[0128] Alternatively, the specific processing program 56, specific processing program 56-3, etc., 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, specific processing program 56-3, etc., may be downloaded and installed on the computer 22 in response to a request from the data processing device 12.

[0129] Furthermore, it is not necessary to store all of the specific processing program 56, specific processing program 56-3, etc., 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, specific processing program 56-3, etc., in the storage 32; it is acceptable to store only a portion of the specific processing program 56, specific processing program 56-3, etc.

[0130] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0131] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of 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). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0132] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0133] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0134] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0135] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0136] Furthermore, the following additional information is disclosed regarding the above explanation.

[0137] (Note 1) A data acquisition unit that collects the wearer's biometric data and environmental data including the temperature and humidity around the wearer, A processing unit that performs specific processing using the aforementioned biological data, the aforementioned environmental data, and a specific algorithm for evaluating the wearer's comfort level in an air-conditioned environment, A communication unit that transmits the results of the specified processing to an air conditioning system that provides air conditioning for the indoor space where the wearer is located, Equipped with, The processing unit performs the process of calculating the air conditioning settings, taking into account the wearer's physical condition, the temperature, and the humidity, as the specific processing. The communication unit is a necklace-type terminal that transmits a control signal corresponding to the air conditioning setting to the air conditioning device as a result of the specific processing.

[0138] (Note 2) The processing unit, as the specific processing, inputs a prompt message to a generating AI model instructing it to calculate an air conditioning setting that takes into account the wearer's physical condition, temperature, and humidity, based on the biometric data and the environmental data, thereby calculating the air conditioning setting as described in Appendix 1, which is a necklace-type terminal.

[0139] (Note 3) The system includes an emotion engine that estimates the emotions contained in the utterances made by the wearer regarding the air conditioning environment. The processing unit calculates the air conditioning settings taking into account the emotions, physical condition, temperature, and humidity, as described in Appendix 1, and is a necklace-type terminal.

[0140] (Note 4) The processing unit inputs a prompt message to the generating AI model instructing it to propose an air conditioning setting suitable for the wearer's physical condition, based on the biometric data and the environmental data, thereby determining the content of the utterance that proposes the air conditioning setting suitable for the wearer's physical condition. The communication unit is a necklace-type terminal as described in Appendix 3, which generates information for reproducing the determined speech content.

[0141] (Note 5) The processing unit uses a generation AI model to adjust the speech content based on the emotions contained in the speech made by the wearer regarding the air conditioning environment after the speech content has been reproduced. The communication unit is a necklace-type terminal as described in Appendix 4, which generates information for reproducing the adjusted speech content.

[0142] (Note 6) An input unit that receives biometric data of the wearer wearing the necklace-type terminal, detected by a sensor contained in the necklace-type terminal, and environmental data including the temperature and humidity around the wearer. A processing unit that performs specific processing using the aforementioned biological data, environmental data, and a specific algorithm for evaluating the wearer's comfort level in an air-conditioned environment, An output unit that transmits the result of the specified processing to an air conditioning system that provides air conditioning for the indoor space where the wearer is located, Equipped with, The processing unit performs the process of calculating the air conditioning settings, taking into account the wearer's physical condition, the temperature, and the humidity, as the specific processing. The output unit is a data processing system that transmits a control signal corresponding to the air conditioning setting to the air conditioning device as a result of the specific processing.

[0143] (Note 7) The processing unit, as the specific processing, inputs a prompt message to a generating AI model instructing it to calculate an air conditioning setting that takes into account the wearer's physical condition, temperature, and humidity, based on the biological data and the environmental data, thereby calculating the air conditioning setting as described in Appendix 6.

[0144] (Note 8) The system includes an emotion engine that estimates the emotions contained in the utterances made by the wearer regarding the air conditioning environment. The processing unit is a data processing system as described in Appendix 6, which calculates the air conditioning settings taking into account the emotions, physical condition, temperature, and humidity.

[0145] (Note 9) The processing unit inputs a prompt message to the generating AI model instructing it to propose an air conditioning setting suitable for the wearer's physical condition, based on the biometric data and the environmental data, thereby determining the content of the utterance that proposes the air conditioning setting suitable for the wearer's physical condition. The output unit is a data processing system as described in Appendix 8, which reproduces the determined speech content.

[0146] (Note 10) The processing unit uses a generation AI model to adjust the speech content based on the emotions contained in the speech made by the wearer regarding the air conditioning environment after the speech content has been reproduced. The output unit is a data processing system as described in Appendix 9, which reproduces the adjusted speech content. [Explanation of Symbols]

[0147] 10, 10-2, 10-3 Data Processing Systems 12, 12-3 Data Processing Devices 14, 14-2 Necklace-type terminal 38 Microphones 39 Sensors 40 speakers 42 cameras 46A Control Unit 100, 100-2 Data Collection Unit 102, 102-2 Communications Department 290, 290-3 Specific Processing Unit 292, 292-3 Input section 294, 294-3 Processing Unit 296, 296-3 Output section< / url:> < / url:> < / url:>

Claims

1. A data acquisition unit that collects the wearer's biometric data and environmental data including the temperature and humidity around the wearer, A processing unit that performs specific processing using the aforementioned biological data, the aforementioned environmental data, and a specific algorithm for evaluating the wearer's comfort level in an air-conditioned environment, A communication unit that transmits the results of the specified processing to an air conditioning system that provides air conditioning for the indoor space where the wearer is located, Equipped with, The processing unit performs the process of calculating the air conditioning settings, taking into account the wearer's physical condition, the temperature, and the humidity, as the specific processing. The communication unit is a necklace-type terminal that transmits a control signal corresponding to the air conditioning setting to the air conditioning device as a result of the specific processing.

2. The necklace-type terminal according to claim 1, wherein the processing unit, as the specific processing, inputs a prompt message to a generating AI model instructing it to calculate an air conditioning setting that takes into account the wearer's physical condition, temperature, and humidity, based on the biometric data and the environmental data, thereby calculating the air conditioning setting.

3. The system includes an emotion engine that estimates the emotions contained in the utterances made by the wearer regarding the air conditioning environment. The necklace-type terminal according to claim 1, wherein the processing unit calculates the air conditioning settings taking into account the emotions, physical condition, temperature, and humidity.

4. The processing unit inputs a prompt message to the generating AI model instructing it to propose an air conditioning setting suitable for the wearer's physical condition, based on the biometric data and the environmental data, thereby determining the content of the utterance that proposes the air conditioning setting suitable for the wearer's physical condition. The necklace-type terminal according to claim 3, wherein the communication unit generates information for reproducing the determined speech content.

5. The processing unit uses a generation AI model to adjust the speech content based on the emotions contained in the speech made by the wearer regarding the air conditioning environment after the speech content has been reproduced. The necklace-type terminal according to claim 4, wherein the communication unit generates information for reproducing the adjusted speech content.

6. An input unit that receives biometric data of the wearer wearing the necklace-type terminal, detected by a sensor contained in the necklace-type terminal, and environmental data including the temperature and humidity around the wearer. A processing unit that performs specific processing using the aforementioned biological data, environmental data, and a specific algorithm for evaluating the wearer's comfort level in an air-conditioned environment, An output unit that transmits the result of the specified processing to an air conditioning system that provides air conditioning for the indoor space where the wearer is located, Equipped with, The processing unit performs the process of calculating the air conditioning settings, taking into account the wearer's physical condition, the temperature, and the humidity, as the specific processing. The output unit is a data processing system that transmits a control signal corresponding to the air conditioning setting to the air conditioning device as a result of the specific processing.

7. The data processing system according to claim 6, wherein the processing unit, as the specific processing, inputs a prompt message to a generating AI model instructing it to calculate an air conditioning setting that takes into account the wearer's physical condition, temperature, and humidity based on the biological data and the environmental data, thereby calculating the air conditioning setting.

8. The system includes an emotion engine that estimates the emotions contained in the utterances made by the wearer regarding the air conditioning environment. The data processing system according to claim 6, wherein the processing unit calculates the air conditioning settings taking into account the emotions, physical condition, temperature, and humidity.

9. The processing unit inputs a prompt message to the generating AI model instructing it to propose an air conditioning setting suitable for the wearer's physical condition, based on the biometric data and the environmental data, thereby determining the content of the utterance that proposes the air conditioning setting suitable for the wearer's physical condition. The data processing system according to claim 8, wherein the output unit reproduces the determined speech content.

10. The processing unit uses a generation AI model to adjust the speech content based on the emotions contained in the speech made by the wearer regarding the air conditioning environment after the speech content has been reproduced. The data processing system according to claim 9, wherein the output unit reproduces the adjusted speech content.

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