System

Abstract

An object of a system according to an embodiment is to suppress an accident of an elderly driver and improve safety during driving.SOLUTION: A system according to an embodiment includes an attention calling unit, a biological information measurement unit, a music providing unit, a conversation handling unit, and an emergency handling unit. The alerting unit alerts the driver during driving. The biological information measurement unit measures a pulse or a blood glucose level of the driver with a tool worn on a finger. The music providing unit provides relaxing music according to the state of the driver. The conversation handling unit handles a small talk with the driver. The emergency response unit responds to an emergency according to the health condition of the driver and the driving situation.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] Conventional technologies have not yet provided sufficient effective countermeasures to address the increasing accident rate among elderly drivers, and there is room for improvement.

[0005] The system according to the embodiment aims to prevent accidents involving elderly drivers and improve safety while driving. [Means for solving the problem]

[0006] The system according to the embodiment includes an attention alerting unit, a biological information measuring unit, a music providing unit, a conversation response unit, and an emergency response unit. The attention alerting unit alerts the driver while driving. The biological information measuring unit measures the driver's pulse or blood sugar level using a device worn on the driver's finger. The music providing unit provides relaxing music according to the driver's condition. The conversation response unit engages in small talk with the driver. The emergency response unit responds to emergencies according to the driver's health condition and driving situation. [Effects of the Invention]

[0007] The system according to the embodiment can prevent accidents involving elderly drivers and improve safety while driving. [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) The driving assistance system according to the embodiment of the present invention is a system that alerts drivers while driving, manages their health, provides relaxing music, engages in small talk, and responds in emergencies, thereby reducing the risk of accidents for elderly drivers and providing a safe and comfortable driving environment.

[0029] A driving assistance system according to an embodiment includes an attention alerting unit, a biometric information measuring unit, a music providing unit, a conversation response unit, and an emergency response unit. The attention alerting unit alerts the driver while driving. For example, if the driver is about to deviate from their lane or if the distance to the vehicle ahead is too close, the attention alerting unit issues a voice message such as "Please stay in your lane" or "Please be careful of the vehicle ahead." The attention alerting unit can also analyze the driver's facial expressions and gaze using a camera and issue a warning if it detects a decrease in attention. For example, it can issue a warning if the driver frequently closes their eyes or averts their gaze from the road. The biometric information measuring unit measures the driver's pulse and blood sugar level using a device worn on the driver's finger. For example, if the driver's pulse rate becomes abnormally high or their blood sugar level drops, the biometric information measuring unit can provide advice such as "Please take a break" or "Your blood sugar level is low. Please eat something." The biometric information measuring unit can also analyze the driver's sleep patterns and encourage the driver to take a break if it detects a lack of sleep. The music provider provides relaxing music according to the driver's condition. For example, if the driver is nervous or tired, the music provider plays appropriate music along with a message such as "I'll play some relaxing music." The music provider can also analyze the driver's heart rate and breathing patterns to select music with a high relaxing effect. The conversation support unit engages in casual conversation with the driver. For example, if the driver says, "The weather is nice today, isn't it?", the conversation support unit responds with, "Yes, it is. It's sunny and pleasant today." The conversation support unit can also learn the driver's past conversation history and provide topics tailored to the driver's individual interests. The emergency response unit responds to emergencies according to the driver's health condition and driving situation. For example, if the driver loses consciousness or suddenly falls ill, the emergency response unit automatically stops the vehicle in a safe location and notifies emergency contacts. The emergency response unit can also monitor the driver's emotional state and take emergency action if an abnormality is detected. As a result, the driving assistance system according to the embodiment can reduce the risk of accidents for elderly drivers and provide a safe and comfortable driving environment.For example, it can prevent accidents by alerting drivers while driving, maintain their physical condition through health management, reduce driver stress through relaxing music and casual conversation, and support an enjoyable drive. Furthermore, it can ensure driver safety by responding to emergencies.

[0030] The attention warning unit can issue a voice message to the driver when the driver is about to deviate from the lane or when the distance to the vehicle ahead becomes too close. For example, the attention warning unit can issue a voice message such as "Please stay in your lane" when the driver is about to deviate from the lane. It can also issue a voice message such as "Pay attention to the vehicle ahead" when the distance to the vehicle ahead becomes too close. Furthermore, the attention warning unit can analyze the driver's facial expressions and line of sight using a camera and issue a warning if it detects a decrease in attention. For example, it can issue a warning if the driver starts closing their eyes more frequently or looking away from the road. This can alert the driver and reduce the risk of an accident.

[0031] The biometric information measurement unit can advise the driver to take a break or eat if their pulse rate becomes abnormally high or their blood sugar level drops. For example, if their pulse rate becomes abnormally high, the biometric information measurement unit can advise the driver to "take a break." Also, if their blood sugar level drops, the biometric information measurement unit can advise the driver to "your blood sugar level is low. Please eat something." Furthermore, the biometric information measurement unit can analyze the driver's sleep patterns and encourage the driver to take a break if it detects that they are not getting enough sleep. For example, if the driver has been driving continuously for a long time, the unit can advise the driver to "take a break." This helps maintain the driver's health and support safe driving.

[0032] When the music providing unit detects tension or fatigue in the driver, it can select relaxing music and play it in the vehicle. For example, when it detects tension in the driver, it can play appropriate music along with a message such as "We will play relaxing music." Also, when it detects fatigue in the driver, it can play appropriate music along with a message such as "We will play relaxing music." Furthermore, the music providing unit can analyze the driver's heart rate and breathing patterns and select music with a high relaxing effect. For example, when the heart rate is high, it can play music with a calm tempo. This can reduce stress for the driver and provide a comfortable driving environment.

[0033] The conversation response unit engages in small talk with the driver, allowing them to enjoy a pleasant drive without feeling lonely. For example, if the driver says, "The weather is nice today," the conversation response unit will respond with, "Yes, it is. It's sunny and pleasant today." The conversation response unit can also learn the driver's past conversation history and provide topics that match their individual interests. For example, it can provide related topics based on the hobbies and interests that the driver has previously discussed. This helps reduce the driver's sense of loneliness and supports a more enjoyable drive.

[0034] The emergency response unit can automatically stop the vehicle in a safe place and notify emergency contacts if the driver loses consciousness or suddenly falls ill. For example, the emergency response unit can automatically stop the vehicle on the side of the road if the driver loses consciousness. It can also automatically stop the vehicle in a safe place if the driver suddenly falls ill. Furthermore, the emergency response unit can monitor the driver's health condition and driving status in real time and automatically notify family members and medical institutions in the event of an emergency. For example, if an abnormality in the heart rate or blood pressure is detected, it can notify family members and medical institutions. This ensures the driver's safety and enables a prompt response.

[0035] The attention warning unit can analyze the driver's facial expression or line of sight using a camera and issue a warning if it detects a decrease in attention. The attention warning unit, for example, analyzes the driver's facial expression using a camera and issues a warning if it detects a decrease in attention. For example, it issues a warning if the driver starts closing their eyes more frequently or if their eyes are looking away from the road. It can also analyze the driver's line of sight using a camera and issue a warning if their eyes are looking away from the road for a certain period of time. For example, it issues a warning if the driver is operating a smartphone. This makes it possible to detect a decrease in the driver's attention and reduce the risk of an accident.

[0036] The attention warning unit can analyze road conditions or traffic information in real time and notify the driver of predicted dangers in advance. The attention warning unit, for example, analyzes road conditions in real time and acquires information on congestion and accidents. For example, if there is congestion ahead, it issues a warning urging the driver to slow down. It can also analyze traffic information and notify the driver of predicted dangers in advance. For example, it can predict when the traffic light will turn red at an intersection ahead and urge the driver to slow down. Furthermore, the attention warning unit can analyze weather information and warn the driver when bad weather is predicted. For example, if heavy rain or snow is forecast, it can issue a warning to slow down the driving speed. This allows for advance notification of predicted dangers and reduces the risk of accidents.

[0037] The attention alert unit can communicate with other vehicles and pedestrians to promote cooperative driving. The attention alert unit, for example, communicates with other vehicles to promote cooperative driving. For example, if a vehicle ahead brakes suddenly, it issues a warning to following vehicles to encourage them to slow down. It can also communicate with pedestrians to support safe driving. For example, if there are pedestrians on a crosswalk, it issues a warning to the driver to encourage them to slow down. Furthermore, the attention alert unit can exchange information with other vehicles and pedestrians in real time to promote cooperative driving. For example, when turning right at an intersection, it obtains information about oncoming vehicles and encourages the driver to turn right at a safe timing. This can promote cooperative driving with other vehicles and pedestrians and support safe driving.

[0038] The biometric information measurement unit can analyze the driver's sleep patterns and encourage them to take a break if it detects lack of sleep. For example, the biometric information measurement unit can analyze the driver's past sleep data and encourage them to take a break if it detects lack of sleep. For example, if the driver has been driving continuously for a long time, it can give advice such as "Please take a break." It can also monitor the driver's sleep patterns in real time and encourage them to take a break if it detects lack of sleep. For example, it can analyze pulse and breathing patterns and issue a warning if there are signs of lack of sleep. Furthermore, the biometric information measurement unit can learn the driver's sleep history and give advice on taking a break based on each individual's sleep pattern. For example, it can suggest the optimal timing for taking a break based on past data. This can detect lack of sleep in the driver and encourage appropriate breaks to support safe driving.

[0039] The biometric information measurement unit can analyze the driver's dietary history and provide advice on nutritional balance. The biometric information measurement unit can, for example, analyze the driver's dietary history and provide advice on nutritional balance. For example, it can make dietary suggestions to supplement missing nutrients based on past dietary data. It can also monitor the driver's dietary history in real time and provide advice on nutritional balance. For example, it can analyze dietary content and suggest balanced meals. Furthermore, the biometric information measurement unit can learn the driver's dietary history and provide advice based on each individual's nutritional balance. For example, if a specific nutrient is lacking, it can suggest ingredients that contain that nutrient. This makes it possible to manage the driver's nutritional balance and provide advice to maintain health.

[0040] The biometric information measurement unit can analyze the driver's exercise history and encourage them to exercise if it detects a lack of exercise. The biometric information measurement unit, for example, analyzes the driver's exercise history and encourages them to exercise if it detects a lack of exercise. For example, it can suggest an optimal exercise plan based on past exercise data. It can also monitor the driver's exercise history in real time and encourage them to exercise if it detects a lack of exercise. For example, it can suggest simple stretching or walking if the amount of exercise is low. Furthermore, the biometric information measurement unit can learn the driver's exercise history and provide exercise advice based on their individual exercise habits. For example, if a specific exercise is lacking, it can suggest that they incorporate that exercise. In this way, it is possible to detect a lack of exercise in the driver and encourage appropriate exercise to maintain health.

[0041] The biometric information measurement unit can store the driver's health data in the cloud and work with medical institutions to manage their health. The biometric information measurement unit can, for example, store the driver's health data in the cloud and work with medical institutions to manage their health. For example, the health data can be periodically sent to a medical institution to receive expert advice. It is also possible to build a system that stores the driver's health data in the cloud and works with medical institutions in real time. For example, if an abnormality is detected, the medical institution can be notified and a prompt response can be made. Furthermore, the biometric information measurement unit can store the driver's health data in the cloud and work with medical institutions to manage their health comprehensively. For example, the driver can receive regular health checks and advice on preventive medicine. This allows the driver's health data to be stored in the cloud and work with medical institutions to manage their health comprehensively.

[0042] The music providing unit can learn the driver's music history and provide relaxing music that suits each individual's preferences. The music providing unit, for example, learns the driver's past music history and provides relaxing music that suits each individual's preferences. For example, it can automatically generate a relaxing playlist based on the driver's favorite genres and artists. It can also analyze the driver's music history and provide relaxing music that suits specific times of day or situations. For example, it can select calming music for nighttime driving and rhythmic music for long-distance driving. Furthermore, the music providing unit can learn the driver's music history and provide relaxing music that suits each individual's preferences. For example, it can prioritize playing music that has had a strong relaxing effect in the past. This allows the system to provide relaxing music that suits the driver's preferences and provide a comfortable driving environment.

[0043] The music providing unit can analyze the driver's heart rate and breathing pattern and select music with a high relaxing effect. The music providing unit, for example, monitors the driver's heart rate in real time and selects music with a high relaxing effect when the heart rate is high. For example, when the heart rate increases, music with a calm tempo is played. The music providing unit can also analyze the driver's breathing pattern and select music with a high relaxing effect. For example, when breathing becomes shallow, music that encourages deep breathing is played. Furthermore, the music providing unit can comprehensively analyze the driver's heart rate and breathing pattern and provide music with a high relaxing effect. For example, optimal music is selected based on data on the heart rate and breathing pattern. In this way, music with a high relaxing effect can be provided based on the driver's heart rate and breathing pattern.

[0044] The music providing unit can adjust the tempo or genre of music according to the driver's driving conditions. For example, the music providing unit analyzes the driver's driving conditions and adjusts the tempo and genre of music. For example, it plays fast-paced music when driving on a highway and relaxing music when stuck in traffic. The music genre can also be adjusted according to the driver's driving conditions. For example, it selects calming music when driving at night and energetic music when driving long distances. Furthermore, the music providing unit can monitor the driver's driving conditions in real time and dynamically adjust the tempo and genre of music. For example, it plays relaxing music when taking a sharp turn or braking hard. This allows the tempo and genre of music to be adjusted according to the driver's driving conditions, providing a comfortable driving environment.

[0045] The music providing unit can automatically generate and periodically update a music playlist for the driver. For example, the music providing unit analyzes the driver's music history and automatically generates a playlist based on the driver's individual preferences. For example, a relaxing playlist can be created based on the driver's favorite genres and artists. The music providing unit can also periodically update the driver's music playlist to provide new relaxing music. For example, the latest relaxing music or new songs that suit the driver's preferences can be added. Furthermore, the music providing unit can learn the driver's music history, automatically generate a playlist based on the driver's individual preferences, and periodically update it. For example, music that has had a high relaxing effect in the past can be prioritized for playback. In this way, by automatically generating a music playlist based on the driver's preferences and periodically updating it, new music can always be provided.

[0046] The conversation response unit can learn the driver's conversation history and provide topics that match the driver's individual interests. The conversation response unit, for example, learns the driver's past conversation history and provides topics that match the driver's individual interests. For example, it can provide related topics based on the hobbies and interests that the driver has talked about in the past. It can also analyze the driver's conversation history and provide topics that match specific time periods or situations. For example, it can provide news and weather information during the morning commute and relaxing topics on the way home. Furthermore, the conversation response unit can learn the driver's conversation history and provide customized topics that match the driver's individual interests. For example, it can provide topics that the driver has shown interest in in the past. This allows the driver to enjoy a fun drive by providing topics that match the driver's interests.

[0047] The conversation response unit can acquire news or weather information in real time and provide the latest topics. The conversation response unit, for example, acquires news or weather information in real time and provides the latest topics. For example, information relevant to the driver is provided based on the latest news or weather forecast. The conversation response unit can also customize and provide news or weather information according to the driver's interests and concerns. For example, weather information for a specific area or news that the driver is interested in is provided preferentially. Furthermore, the conversation response unit can acquire news or weather information in real time and provide topics according to the driver's situation. For example, weather information or traffic information for the area where the driver is driving is provided. This allows the latest news and weather information to be provided and keep the driver interested.

[0048] The conversation response unit can provide specialized topics based on the driver's hobbies or interests. For example, the conversation response unit learns the driver's hobbies and interests and provides specialized topics based on them. For example, if the driver is interested in music, the conversation response unit can provide the latest music news and artist information. The conversation response unit can also customize and provide specialized topics based on the driver's hobbies and interests. For example, if the driver is interested in sports, the conversation response unit can provide the latest sports news and game results. Furthermore, the conversation response unit can learn the driver's hobbies and interests and provide specialized topics based on individual interests. For example, if the driver is interested in movies, the conversation response unit can provide the latest movie information and reviews. This makes it possible to provide specialized topics based on the driver's hobbies and interests and support a more enjoyable drive.

[0049] The conversation response unit can simulate a virtual conversation with another driver to promote communication. The conversation response unit, for example, simulates a virtual conversation with another driver to promote communication. For example, through a conversation with a virtual driver, a sense of loneliness while driving is reduced. The conversation response unit can also provide a simulation that allows the driver to enjoy a virtual conversation. For example, through a conversation with a virtual driver, a relaxation effect while driving is enhanced. Furthermore, the conversation response unit can simulate a virtual conversation with another driver to promote communication. For example, through a conversation with a virtual driver, stress while driving is reduced. As a result, through a virtual conversation with another driver, communication can be promoted and a sense of loneliness while driving can be reduced.

[0050] The emergency response unit can analyze the driver's health data and detect signs of an emergency early. The emergency response unit, for example, analyzes the driver's health data in real time and detects signs of an emergency early. For example, if an abnormality in heart rate or blood pressure is detected, a warning is issued. It is also possible to build a system that analyzes the driver's health data and detects signs of an emergency early. For example, if a sudden change in blood sugar level is detected, an emergency response is taken. Furthermore, the emergency response unit can learn the driver's health data and detect signs of an emergency early according to each individual's health condition. For example, it can detect abnormalities based on past data and take prompt action. This makes it possible to analyze the driver's health data and detect signs of an emergency early, enabling prompt action.

[0051] The emergency response department can automatically notify the driver's family or medical institution in the event of an emergency. For example, the emergency response department can build a system that automatically notifies the driver's family or medical institution in the event of an emergency. For example, if the driver loses consciousness, it can notify emergency contacts. It can also monitor the driver's health condition and driving status in real time and automatically notify in the event of an emergency. For example, if an abnormality in heart rate or blood pressure is detected, it can notify family members or medical institutions. Furthermore, the emergency response department can develop a system that quickly notifies the driver's family or medical institution in the event of an emergency. For example, it can notify the nearest medical institution based on the vehicle's location information. This makes it possible to automatically notify the driver's family and medical institution in the event of an emergency, enabling a quick response.

[0052] The emergency response department can utilize the vehicle's autonomous driving function in an emergency to stop the vehicle in a safe place. The emergency response department, for example, builds a system that utilizes the vehicle's autonomous driving function to stop the vehicle in a safe place in an emergency. For example, if the driver loses consciousness, the vehicle can be automatically stopped on the shoulder of the road. The vehicle's autonomous driving function can also be utilized to stop the vehicle in a safe place in an emergency. For example, the optimal stopping location can be selected based on vehicle sensor information and the vehicle can be automatically stopped. Furthermore, the emergency response department can develop a system that utilizes the vehicle's autonomous driving function to quickly stop the vehicle in a safe place in an emergency. For example, when an emergency occurs, the surrounding traffic conditions can be analyzed and a safe stopping location selected. This makes it possible to utilize the vehicle's autonomous driving function to stop the vehicle in a safe place in an emergency, ensuring the driver's safety.

[0053] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0054] Driver assistance systems can also learn the driver's driving style and provide customized advice based on individual driving habits. For example, if a driver frequently brakes suddenly, the system can provide advice to encourage smoother braking. If a driver prefers driving on highways, the system can provide advice on safe driving on highways. Furthermore, driver assistance systems can learn the driver's driving style and provide customized advice based on individual driving habits, thereby helping to improve driving skills.

[0055] The warning unit can also analyze the driver's driving history and notify the driver in advance of predicted dangers based on past driving data. For example, if the driver has frequently braked suddenly at a specific intersection in the past, a warning will be issued to urge caution when approaching that intersection. It can also evaluate driving risks at specific times of day or under specific weather conditions based on past driving data and provide appropriate advice. This allows the system to notify the driver in advance of predicted dangers based on the driver's driving history and reduce the risk of accidents.

[0056] The biometric information measurement unit can also analyze the driver's dietary history and provide advice on nutritional balance. For example, it can suggest meals to supplement missing nutrients based on past dietary data. It can also monitor the driver's dietary history in real time and provide advice on nutritional balance. For example, it can analyze the contents of meals and suggest balanced meals. This makes it possible to manage the driver's nutritional balance and provide advice on maintaining health.

[0057] The music provider can also learn the driver's music history and provide relaxing music that suits each individual's preferences. For example, it can automatically generate a relaxing playlist based on the driver's favorite genres and artists. It can also analyze the driver's music history and provide relaxing music that suits specific times of day or situations. This allows the system to provide relaxing music that suits the driver's preferences and create a comfortable driving environment.

[0058] The conversation response unit can also learn the driver's conversation history and provide topics that match the driver's individual interests. For example, it can provide related topics based on the hobbies and interests that the driver has previously discussed. It can also analyze the driver's conversation history and provide topics that are appropriate for specific times of day or situations. This allows it to provide topics that match the driver's interests and support an enjoyable drive.

[0059] The emergency response department can also store the driver's health data in the cloud and work with medical institutions to manage their health. For example, health data can be sent to medical institutions on a regular basis to receive expert advice. It is also possible to build a system that stores the driver's health data in the cloud and links with medical institutions in real time. This allows the driver's health data to be stored in the cloud and works with medical institutions to manage their health comprehensively.

[0060] The processing flow of the first embodiment will be briefly explained below.

[0061] Step 1: The attention warning unit alerts the driver while driving. For example, if the driver is about to deviate from their lane or gets too close to the vehicle ahead, the attention warning unit will issue a voice message such as "Please stay in your lane" or "Pay attention to the vehicle ahead." The unit can also analyze the driver's facial expressions and line of sight using a camera and issue a warning if it detects a decline in attention. For example, it will issue a warning if the driver starts closing their eyes more frequently or looking away from the road. Step 2: The biometric information measurement unit measures the driver's pulse and blood sugar level using a device worn on the finger. For example, if the pulse rate becomes abnormally high or the blood sugar level drops, the biometric information measurement unit will give advice such as "Please take a break" or "Your blood sugar level is low. Please eat something." It can also analyze the driver's sleep patterns and encourage them to take a break if it detects they are not getting enough sleep. Step 3: The music provider provides relaxing music according to the driver's state. For example, if the driver is tense or tired, the music provider will play appropriate music along with a message such as "We will play relaxing music." The system can also analyze the driver's heart rate and breathing patterns to select music with a high relaxing effect. Step 4: The conversation response unit engages in small talk with the driver. For example, if the driver says, "The weather is nice today," the conversation response unit will respond with, "Yes, it is. It's sunny and pleasant today." The unit can also learn the driver's past conversation history and provide topics that match their individual interests. Step 5: The emergency response department will take emergency action based on the driver's health condition and driving situation. For example, if the driver loses consciousness or suddenly falls ill, the emergency response department will automatically stop the vehicle in a safe place and notify emergency contacts. It can also monitor the driver's emotional state and take emergency action if an abnormality is detected.

[0062] (Example 2) The driving assistance system according to the embodiment of the present invention is a system that alerts drivers while driving, manages their health, provides relaxing music, engages in small talk, and responds in emergencies, thereby reducing the risk of accidents for elderly drivers and providing a safe and comfortable driving environment.

[0063] A driving assistance system according to an embodiment includes an attention alerting unit, a biometric information measuring unit, a music providing unit, a conversation response unit, and an emergency response unit. The attention alerting unit alerts the driver while driving. For example, if the driver is about to deviate from their lane or if the distance to the vehicle ahead is too close, the attention alerting unit issues a voice message such as "Please stay in your lane" or "Please be careful of the vehicle ahead." The attention alerting unit can also analyze the driver's facial expressions and gaze using a camera and issue a warning if it detects a decrease in attention. For example, it can issue a warning if the driver frequently closes their eyes or averts their gaze from the road. The biometric information measuring unit measures the driver's pulse and blood sugar level using a device worn on the driver's finger. For example, if the driver's pulse rate becomes abnormally high or their blood sugar level drops, the biometric information measuring unit can provide advice such as "Please take a break" or "Your blood sugar level is low. Please eat something." The biometric information measuring unit can also analyze the driver's sleep patterns and encourage the driver to take a break if it detects a lack of sleep. The music provider provides relaxing music according to the driver's condition. For example, if the driver is nervous or tired, the music provider plays appropriate music along with a message such as "I'll play some relaxing music." The music provider can also analyze the driver's heart rate and breathing patterns to select music with a high relaxing effect. The conversation support unit engages in casual conversation with the driver. For example, if the driver says, "The weather is nice today, isn't it?", the conversation support unit responds with, "Yes, it is. It's sunny and pleasant today." The conversation support unit can also learn the driver's past conversation history and provide topics tailored to the driver's individual interests. The emergency response unit responds to emergencies according to the driver's health condition and driving situation. For example, if the driver loses consciousness or suddenly falls ill, the emergency response unit automatically stops the vehicle in a safe location and notifies emergency contacts. The emergency response unit can also monitor the driver's emotional state and take emergency action if an abnormality is detected. As a result, the driving assistance system according to the embodiment can reduce the risk of accidents for elderly drivers and provide a safe and comfortable driving environment.For example, it can prevent accidents by alerting drivers while driving, maintain their physical condition through health management, reduce driver stress through relaxing music and casual conversation, and support an enjoyable drive. Furthermore, it can ensure driver safety by responding to emergencies.

[0064] The attention warning unit can issue a voice message to the driver when the driver is about to deviate from the lane or when the distance to the vehicle ahead becomes too close. For example, the attention warning unit can issue a voice message such as "Please stay in your lane" when the driver is about to deviate from the lane. It can also issue a voice message such as "Pay attention to the vehicle ahead" when the distance to the vehicle ahead becomes too close. Furthermore, the attention warning unit can analyze the driver's facial expressions and line of sight using a camera and issue a warning if it detects a decrease in attention. For example, it can issue a warning if the driver starts closing their eyes more frequently or looking away from the road. This can alert the driver and reduce the risk of an accident.

[0065] The biometric information measurement unit can advise the driver to take a break or eat if their pulse rate becomes abnormally high or their blood sugar level drops. For example, if their pulse rate becomes abnormally high, the biometric information measurement unit can advise the driver to "take a break." Also, if their blood sugar level drops, the biometric information measurement unit can advise the driver to "your blood sugar level is low. Please eat something." Furthermore, the biometric information measurement unit can analyze the driver's sleep patterns and encourage the driver to take a break if it detects that they are not getting enough sleep. For example, if the driver has been driving continuously for a long time, the unit can advise the driver to "take a break." This helps maintain the driver's health and support safe driving.

[0066] When the music providing unit detects tension or fatigue in the driver, it can select relaxing music and play it in the vehicle. For example, when it detects tension in the driver, it can play appropriate music along with a message such as "We will play relaxing music." Also, when it detects fatigue in the driver, it can play appropriate music along with a message such as "We will play relaxing music." Furthermore, the music providing unit can analyze the driver's heart rate and breathing patterns and select music with a high relaxing effect. For example, when the heart rate is high, it can play music with a calm tempo. This can reduce stress for the driver and provide a comfortable driving environment.

[0067] The conversation response unit engages in small talk with the driver, allowing them to enjoy a pleasant drive without feeling lonely. For example, if the driver says, "The weather is nice today," the conversation response unit will respond with, "Yes, it is. It's sunny and pleasant today." The conversation response unit can also learn the driver's past conversation history and provide topics that match their individual interests. For example, it can provide related topics based on the hobbies and interests that the driver has previously discussed. This helps reduce the driver's sense of loneliness and supports a more enjoyable drive.

[0068] The emergency response unit can automatically stop the vehicle in a safe place and notify emergency contacts if the driver loses consciousness or suddenly falls ill. For example, the emergency response unit can automatically stop the vehicle on the side of the road if the driver loses consciousness. It can also automatically stop the vehicle in a safe place if the driver suddenly falls ill. Furthermore, the emergency response unit can monitor the driver's health condition and driving status in real time and automatically notify family members and medical institutions in the event of an emergency. For example, if an abnormality in the heart rate or blood pressure is detected, it can notify family members and medical institutions. This ensures the driver's safety and enables a prompt response.

[0069] The attention warning unit can analyze the driver's facial expression or line of sight using a camera and issue a warning if it detects a decrease in attention. The attention warning unit, for example, analyzes the driver's facial expression using a camera and issues a warning if it detects a decrease in attention. For example, it issues a warning if the driver starts closing their eyes more frequently or if their eyes are looking away from the road. It can also analyze the driver's line of sight using a camera and issue a warning if their eyes are looking away from the road for a certain period of time. For example, it issues a warning if the driver is operating a smartphone. This makes it possible to detect a decrease in the driver's attention and reduce the risk of an accident.

[0070] The attention warning unit can analyze road conditions or traffic information in real time and notify the driver of predicted dangers in advance. The attention warning unit, for example, analyzes road conditions in real time and acquires information on congestion and accidents. For example, if there is congestion ahead, it issues a warning urging the driver to slow down. It can also analyze traffic information and notify the driver of predicted dangers in advance. For example, it can predict when the traffic light will turn red at an intersection ahead and urge the driver to slow down. Furthermore, the attention warning unit can analyze weather information and warn the driver when bad weather is predicted. For example, if heavy rain or snow is forecast, it can issue a warning to slow down the driving speed. This allows for advance notification of predicted dangers and reduces the risk of accidents.

[0071] The attention warning unit can use the emotion estimation function to evaluate the driver's stress level and provide advice to relax when the stress level increases. The attention warning unit can, for example, use the emotion estimation function to analyze the driver's facial expressions and voice to evaluate the stress level. For example, it can analyze facial tension and tone of voice to provide advice to relax when stress increases. It can also analyze the driver's heart rate and breathing pattern to evaluate the stress level. For example, it can provide advice to encourage deep breathing when the heart rate increases. Furthermore, it can use the emotion estimation function to monitor the driver's stress level in real time and play music to help the driver relax when stress increases. This makes it possible to evaluate the driver's stress and provide appropriate advice to reduce stress.

[0072] The attention alert unit can communicate with other vehicles and pedestrians to promote cooperative driving. The attention alert unit, for example, communicates with other vehicles to promote cooperative driving. For example, if a vehicle ahead brakes suddenly, it issues a warning to following vehicles to encourage them to slow down. It can also communicate with pedestrians to support safe driving. For example, if there are pedestrians on a crosswalk, it issues a warning to the driver to encourage them to slow down. Furthermore, the attention alert unit can exchange information with other vehicles and pedestrians in real time to promote cooperative driving. For example, when turning right at an intersection, it obtains information about oncoming vehicles and encourages the driver to turn right at a safe timing. This can promote cooperative driving with other vehicles and pedestrians and support safe driving.

[0073] The warning unit can use the emotion estimation function to adjust the tone and content of the warning according to the emotional state of the driver. The warning unit, for example, uses the emotion estimation function to adjust the tone of the warning according to the emotional state of the driver. For example, if the driver is nervous, the warning unit issues a warning in a gentle tone. The warning unit can also analyze the driver's emotional state and adjust the content of the warning. For example, if the driver is angry, the warning unit can provide advice to stay calm. Furthermore, the emotion estimation function can also be used to provide a customized warning according to the driver's emotional state. For example, if the driver is tired, the warning unit can provide advice to take a break. In this way, by providing warnings according to the driver's emotional state, it is possible to reduce stress and support safe driving.

[0074] The biometric information measurement unit can analyze the driver's sleep patterns and encourage them to take a break if it detects lack of sleep. For example, the biometric information measurement unit can analyze the driver's past sleep data and encourage them to take a break if it detects lack of sleep. For example, if the driver has been driving continuously for a long time, it can give advice such as "Please take a break." It can also monitor the driver's sleep patterns in real time and encourage them to take a break if it detects lack of sleep. For example, it can analyze pulse and breathing patterns and issue a warning if there are signs of lack of sleep. Furthermore, the biometric information measurement unit can learn the driver's sleep history and give advice on taking a break based on each individual's sleep pattern. For example, it can suggest the optimal timing for taking a break based on past data. This can detect lack of sleep in the driver and encourage appropriate breaks to support safe driving.

[0075] The biometric information measurement unit can analyze the driver's dietary history and provide advice on nutritional balance. The biometric information measurement unit can, for example, analyze the driver's dietary history and provide advice on nutritional balance. For example, it can make dietary suggestions to supplement missing nutrients based on past dietary data. It can also monitor the driver's dietary history in real time and provide advice on nutritional balance. For example, it can analyze dietary content and suggest balanced meals. Furthermore, the biometric information measurement unit can learn the driver's dietary history and provide advice based on each individual's nutritional balance. For example, if a specific nutrient is lacking, it can suggest ingredients that contain that nutrient. This makes it possible to manage the driver's nutritional balance and provide advice to maintain health.

[0076] The biometric information measurement unit can use the emotion estimation function to perform health management by combining the driver's emotional state and biometric information. The biometric information measurement unit can, for example, use the emotion estimation function to perform health management by combining the driver's emotional state and biometric information. For example, if the stress level is high, the unit can provide advice on how to relax. The unit can also monitor the driver's emotional state and biometric information in real time to perform comprehensive health management. For example, the unit can combine the driver's heart rate and blood sugar level with the emotional state to provide optimal health advice. Furthermore, the emotion estimation function can be used to perform customized health management based on the driver's emotional state and biometric information. For example, if the driver's emotional state is unstable, the unit can suggest relaxing music. This allows health management by combining the driver's emotional state and biometric information to support comprehensive health maintenance.

[0077] The biometric information measurement unit can analyze the driver's exercise history and encourage them to exercise if it detects a lack of exercise. The biometric information measurement unit, for example, analyzes the driver's exercise history and encourages them to exercise if it detects a lack of exercise. For example, it can suggest an optimal exercise plan based on past exercise data. It can also monitor the driver's exercise history in real time and encourage them to exercise if it detects a lack of exercise. For example, it can suggest simple stretching or walking if the amount of exercise is low. Furthermore, the biometric information measurement unit can learn the driver's exercise history and provide exercise advice based on their individual exercise habits. For example, if a specific exercise is lacking, it can suggest that they incorporate that exercise. In this way, it is possible to detect a lack of exercise in the driver and encourage appropriate exercise to maintain health.

[0078] The biometric information measurement unit can store the driver's health data in the cloud and work with medical institutions to manage their health. The biometric information measurement unit can, for example, store the driver's health data in the cloud and work with medical institutions to manage their health. For example, the health data can be periodically sent to a medical institution to receive expert advice. It is also possible to build a system that stores the driver's health data in the cloud and works with medical institutions in real time. For example, if an abnormality is detected, the medical institution can be notified and a prompt response can be made. Furthermore, the biometric information measurement unit can store the driver's health data in the cloud and work with medical institutions to manage their health comprehensively. For example, the driver can receive regular health checks and advice on preventive medicine. This allows the driver's health data to be stored in the cloud and work with medical institutions to manage their health comprehensively.

[0079] The biometric information measurement unit can use the emotion estimation function to provide health advice according to the driver's emotional state. The biometric information measurement unit can, for example, use the emotion estimation function to provide health advice according to the driver's emotional state. For example, when stress is high, advice on relaxation is provided. The biometric information measurement unit can also monitor the driver's emotional state in real time and provide health advice according to the emotional state. For example, when the emotional state is unstable, music for relaxation is suggested. Furthermore, the emotion estimation function can also be used to provide customized health advice according to the driver's emotional state. For example, when the emotional state is calm, advice on exercise and diet is provided. In this way, by providing health advice according to the driver's emotional state, it is possible to support overall health maintenance.

[0080] The music providing unit can learn the driver's music history and provide relaxing music that suits each individual's preferences. The music providing unit, for example, learns the driver's past music history and provides relaxing music that suits each individual's preferences. For example, it can automatically generate a relaxing playlist based on the driver's favorite genres and artists. It can also analyze the driver's music history and provide relaxing music that suits specific times of day or situations. For example, it can select calming music for nighttime driving and rhythmic music for long-distance driving. Furthermore, the music providing unit can learn the driver's music history and provide relaxing music that suits each individual's preferences. For example, it can prioritize playing music that has had a strong relaxing effect in the past. This allows the system to provide relaxing music that suits the driver's preferences and provide a comfortable driving environment.

[0081] The music providing unit can analyze the driver's heart rate and breathing pattern and select music with a high relaxing effect. The music providing unit, for example, monitors the driver's heart rate in real time and selects music with a high relaxing effect when the heart rate is high. For example, when the heart rate increases, music with a calm tempo is played. The music providing unit can also analyze the driver's breathing pattern and select music with a high relaxing effect. For example, when breathing becomes shallow, music that encourages deep breathing is played. Furthermore, the music providing unit can comprehensively analyze the driver's heart rate and breathing pattern and provide music with a high relaxing effect. For example, optimal music is selected based on data on the heart rate and breathing pattern. In this way, music with a high relaxing effect can be provided based on the driver's heart rate and breathing pattern.

[0082] The music providing unit can adjust the tempo or genre of music according to the driver's driving conditions. For example, the music providing unit analyzes the driver's driving conditions and adjusts the tempo and genre of music. For example, it plays fast-paced music when driving on a highway and relaxing music when stuck in traffic. The music genre can also be adjusted according to the driver's driving conditions. For example, it selects calming music when driving at night and energetic music when driving long distances. Furthermore, the music providing unit can monitor the driver's driving conditions in real time and dynamically adjust the tempo and genre of music. For example, it plays relaxing music when taking a sharp turn or braking hard. This allows the tempo and genre of music to be adjusted according to the driver's driving conditions, providing a comfortable driving environment.

[0083] The music providing unit can automatically generate and periodically update a music playlist for the driver. For example, the music providing unit analyzes the driver's music history and automatically generates a playlist based on the driver's individual preferences. For example, a relaxing playlist can be created based on the driver's favorite genres and artists. The music providing unit can also periodically update the driver's music playlist to provide new relaxing music. For example, the latest relaxing music or new songs that suit the driver's preferences can be added. Furthermore, the music providing unit can learn the driver's music history, automatically generate a playlist based on the driver's individual preferences, and periodically update it. For example, music that has had a high relaxing effect in the past can be prioritized for playback. In this way, by automatically generating a music playlist based on the driver's preferences and periodically updating it, new music can always be provided.

[0084] The music providing unit can use the emotion estimation function to adjust the volume or effects of music according to the emotional state of the driver. The music providing unit, for example, uses the emotion estimation function to adjust the volume of music according to the emotional state of the driver. For example, if the driver is nervous, the music volume is lowered to enhance the relaxation effect. The music providing unit can also monitor the driver's emotional state in real time and adjust the effects of music. For example, if the driver is tired, an effect with a refreshing effect is added. Furthermore, the music providing unit can use the emotion estimation function to provide customized volume and effects of music according to the emotional state of the driver. For example, if the driver is calm, a calming effect is added. This makes it possible to adjust the volume and effects of music according to the emotional state of the driver and provide a comfortable driving environment.

[0085] The conversation response unit can learn the driver's conversation history and provide topics that match the driver's individual interests. The conversation response unit, for example, learns the driver's past conversation history and provides topics that match the driver's individual interests. For example, it can provide related topics based on the hobbies and interests that the driver has talked about in the past. It can also analyze the driver's conversation history and provide topics that match specific time periods or situations. For example, it can provide news and weather information during the morning commute and relaxing topics on the way home. Furthermore, the conversation response unit can learn the driver's conversation history and provide customized topics that match the driver's individual interests. For example, it can provide topics that the driver has shown interest in in the past. This allows the driver to enjoy a fun drive by providing topics that match the driver's interests.

[0086] The conversation response unit can acquire news or weather information in real time and provide the latest topics. The conversation response unit, for example, acquires news or weather information in real time and provides the latest topics. For example, information relevant to the driver is provided based on the latest news or weather forecast. The conversation response unit can also customize and provide news or weather information according to the driver's interests and concerns. For example, weather information for a specific area or news that the driver is interested in is provided preferentially. Furthermore, the conversation response unit can acquire news or weather information in real time and provide topics according to the driver's situation. For example, weather information or traffic information for the area where the driver is driving is provided. This allows the latest news and weather information to be provided and keep the driver interested.

[0087] The conversation response unit can select a topic according to the emotional state of the driver using the emotion estimation function. The conversation response unit, for example, uses the emotion estimation function to select a topic according to the emotional state of the driver. For example, if the driver is nervous, it can provide a topic that will help the driver relax. The conversation response unit can also monitor the driver's emotional state in real time and provide a topic according to the emotional state. For example, if the driver is tired, it can select a topic that will refresh the driver. Furthermore, the conversation response unit can use the emotion estimation function to provide a customized topic according to the driver's emotional state. For example, if the driver is calm, it can provide a calm topic. This allows the conversation response unit to provide a topic according to the driver's emotional state and support a more enjoyable drive.

[0088] The conversation response unit can provide specialized topics based on the driver's hobbies or interests. For example, the conversation response unit learns the driver's hobbies and interests and provides specialized topics based on them. For example, if the driver is interested in music, the conversation response unit can provide the latest music news and artist information. The conversation response unit can also customize and provide specialized topics based on the driver's hobbies and interests. For example, if the driver is interested in sports, the conversation response unit can provide the latest sports news and game results. Furthermore, the conversation response unit can learn the driver's hobbies and interests and provide specialized topics based on individual interests. For example, if the driver is interested in movies, the conversation response unit can provide the latest movie information and reviews. This makes it possible to provide specialized topics based on the driver's hobbies and interests and support a more enjoyable drive.

[0089] The conversation response unit can simulate a virtual conversation with another driver to promote communication. The conversation response unit, for example, simulates a virtual conversation with another driver to promote communication. For example, through a conversation with a virtual driver, a sense of loneliness while driving is reduced. The conversation response unit can also provide a simulation that allows the driver to enjoy a virtual conversation. For example, through a conversation with a virtual driver, a relaxation effect while driving is enhanced. Furthermore, the conversation response unit can simulate a virtual conversation with another driver to promote communication. For example, through a conversation with a virtual driver, stress while driving is reduced. As a result, through a virtual conversation with another driver, communication can be promoted and a sense of loneliness while driving can be reduced.

[0090] The conversation response unit can use the emotion estimation function to adjust the depth or tone of the conversation depending on the emotional state of the driver. For example, the conversation response unit can use the emotion estimation function to adjust the depth of the conversation depending on the emotional state of the driver. For example, if the driver is nervous, the conversation response unit can provide lighter topics. The conversation response unit can also monitor the driver's emotional state in real time and adjust the tone of the conversation depending on the emotional state. For example, if the driver is tired, the conversation response unit can provide a gentler tone of the conversation. Furthermore, the conversation response unit can use the emotion estimation function to provide customized depth and tone of the conversation depending on the emotional state of the driver. For example, if the driver is calm, the conversation response unit can provide deeper topics. This allows the conversation response unit to adjust the depth and tone of the conversation depending on the emotional state of the driver, supporting a more enjoyable drive.

[0091] The emergency response unit can analyze the driver's health data and detect signs of an emergency early. The emergency response unit, for example, analyzes the driver's health data in real time and detects signs of an emergency early. For example, if an abnormality in heart rate or blood pressure is detected, a warning is issued. It is also possible to build a system that analyzes the driver's health data and detects signs of an emergency early. For example, if a sudden change in blood sugar level is detected, an emergency response is taken. Furthermore, the emergency response unit can learn the driver's health data and detect signs of an emergency early according to each individual's health condition. For example, it can detect abnormalities based on past data and take prompt action. This makes it possible to analyze the driver's health data and detect signs of an emergency early, enabling prompt action.

[0092] The emergency response unit can monitor the driver's emotional state using the emotion estimation function and take emergency action if an abnormality is detected. The emergency response unit, for example, can use the emotion estimation function to monitor the driver's emotional state in real time and take emergency action if an abnormality is detected. For example, it can issue a warning if it detects extreme stress or panic. It is also possible to build a system that analyzes the driver's emotional state and automatically takes emergency action if an abnormality is detected. For example, if the emotional state is unstable, it can provide advice on how to relax. Furthermore, the emergency response unit can use the emotion estimation function to monitor the driver's emotional state and take rapid emergency action if an abnormality is detected. For example, it can perform an emergency stop if the emotional state changes suddenly. In this way, it is possible to monitor the driver's emotional state and take rapid emergency action if an abnormality is detected.

[0093] The emergency response department can automatically notify the driver's family or medical institution in the event of an emergency. For example, the emergency response department can build a system that automatically notifies the driver's family or medical institution in the event of an emergency. For example, if the driver loses consciousness, it can notify emergency contacts. It can also monitor the driver's health condition and driving status in real time and automatically notify in the event of an emergency. For example, if an abnormality in heart rate or blood pressure is detected, it can notify family members or medical institutions. Furthermore, the emergency response department can develop a system that quickly notifies the driver's family or medical institution in the event of an emergency. For example, it can notify the nearest medical institution based on the vehicle's location information. This makes it possible to automatically notify the driver's family and medical institution in the event of an emergency, enabling a quick response.

[0094] The emergency response department can utilize the vehicle's autonomous driving function in an emergency to stop the vehicle in a safe place. The emergency response department, for example, builds a system that utilizes the vehicle's autonomous driving function to stop the vehicle in a safe place in an emergency. For example, if the driver loses consciousness, the vehicle can be automatically stopped on the shoulder of the road. The vehicle's autonomous driving function can also be utilized to stop the vehicle in a safe place in an emergency. For example, the optimal stopping location can be selected based on vehicle sensor information and the vehicle can be automatically stopped. Furthermore, the emergency response department can develop a system that utilizes the vehicle's autonomous driving function to quickly stop the vehicle in a safe place in an emergency. For example, when an emergency occurs, the surrounding traffic conditions can be analyzed and a safe stopping location selected. This makes it possible to utilize the vehicle's autonomous driving function to stop the vehicle in a safe place in an emergency, ensuring the driver's safety.

[0095] The emergency response unit can use the emotion estimation function to take measures to stabilize the driver's emotional state in an emergency. For example, the emergency response unit can use the emotion estimation function to monitor the driver's emotional state in real time in an emergency and take measures to stabilize the driver's emotional state. For example, the emergency response unit can play music with a relaxing effect. The emergency response unit can also analyze the driver's emotional state and provide advice to stabilize the driver's emotional state in an emergency. For example, the emergency response unit can provide advice to encourage deep breathing. Furthermore, the emergency response unit can use the emotion estimation function to take customized measures to stabilize the driver's emotional state in an emergency. For example, the emergency response unit can provide a topic to help the driver calm down. This allows for a quick and appropriate response by taking measures to stabilize the driver's emotional state in an emergency.

[0096] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0097] Driver assistance systems can also learn the driver's driving style and provide customized advice based on individual driving habits. For example, if a driver frequently brakes suddenly, the system can provide advice to encourage smoother braking. If a driver prefers driving on highways, the system can provide advice on safe driving on highways. Furthermore, driver assistance systems can learn the driver's driving style and provide customized advice based on individual driving habits, thereby helping to improve driving skills.

[0098] The warning unit can also analyze the driver's driving history and notify the driver in advance of predicted dangers based on past driving data. For example, if the driver has frequently braked suddenly at a specific intersection in the past, a warning will be issued to urge caution when approaching that intersection. It can also evaluate driving risks at specific times of day or under specific weather conditions based on past driving data and provide appropriate advice. This allows the system to notify the driver in advance of predicted dangers based on the driver's driving history and reduce the risk of accidents.

[0099] The biometric information measurement unit can also analyze the driver's dietary history and provide advice on nutritional balance. For example, it can suggest meals to supplement missing nutrients based on past dietary data. It can also monitor the driver's dietary history in real time and provide advice on nutritional balance. For example, it can analyze the contents of meals and suggest balanced meals. This makes it possible to manage the driver's nutritional balance and provide advice on maintaining health.

[0100] The music provider can also learn the driver's music history and provide relaxing music that suits each individual's preferences. For example, it can automatically generate a relaxing playlist based on the driver's favorite genres and artists. It can also analyze the driver's music history and provide relaxing music that suits specific times of day or situations. This allows the system to provide relaxing music that suits the driver's preferences and create a comfortable driving environment.

[0101] The conversation response unit can also learn the driver's conversation history and provide topics that match the driver's individual interests. For example, it can provide related topics based on the hobbies and interests that the driver has previously discussed. It can also analyze the driver's conversation history and provide topics that are appropriate for specific times of day or situations. This allows it to provide topics that match the driver's interests and support an enjoyable drive.

[0102] The emergency response department can also store the driver's health data in the cloud and work with medical institutions to manage their health. For example, health data can be sent to medical institutions on a regular basis to receive expert advice. It is also possible to build a system that stores the driver's health data in the cloud and links with medical institutions in real time. This allows the driver's health data to be stored in the cloud and works with medical institutions to manage their health comprehensively.

[0103] The warning unit can use the emotion estimation function to evaluate the driver's stress level and provide advice to relax when the stress level increases. For example, the emotion estimation function can be used to analyze the driver's facial expressions and voice to evaluate the stress level. For example, the function can analyze facial tension and tone of voice to provide advice to relax when stress increases. The warning unit can also analyze the driver's heart rate and breathing patterns to evaluate the stress level. This makes it possible to evaluate the driver's stress and provide appropriate advice to reduce stress.

[0104] The warning unit can use the emotion estimation function to adjust the tone and content of the warning according to the driver's emotional state. For example, the emotion estimation function can be used to adjust the tone of the warning according to the driver's emotional state. For example, if the driver is nervous, the warning will be given in a gentle tone. The warning unit can also analyze the driver's emotional state and adjust the content of the warning. This makes it possible to reduce stress and support safe driving by providing warnings according to the driver's emotional state.

[0105] The biometric information measurement unit can use the emotion estimation function to perform health management by combining the driver's emotional state and biometric information. For example, it can provide advice on how to relax if the stress level is high. It can also monitor the driver's emotional state and biometric information in real time to perform comprehensive health management. This allows health management that combines the driver's emotional state and biometric information to support overall health maintenance.

[0106] The conversation response unit can use the emotion estimation function to select topics according to the driver's emotional state. For example, if the driver is nervous, the conversation response unit can provide topics that will help the driver relax. The conversation response unit can also monitor the driver's emotional state in real time and provide topics according to the emotional state. This allows the conversation response unit to provide topics that are appropriate for the driver's emotional state, supporting a more enjoyable drive.

[0107] The processing flow of the second embodiment will be briefly explained below.

[0108] Step 1: The attention warning unit alerts the driver while driving. For example, if the driver is about to deviate from their lane or gets too close to the vehicle ahead, the attention warning unit will issue a voice message such as "Please stay in your lane" or "Pay attention to the vehicle ahead." The unit can also analyze the driver's facial expressions and line of sight using a camera and issue a warning if it detects a decline in attention. For example, it will issue a warning if the driver starts closing their eyes more frequently or looking away from the road. Step 2: The biometric information measurement unit measures the driver's pulse and blood sugar level using a device worn on the finger. For example, if the pulse rate becomes abnormally high or the blood sugar level drops, the biometric information measurement unit will give advice such as "Please take a break" or "Your blood sugar level is low. Please eat something." It can also analyze the driver's sleep patterns and encourage them to take a break if it detects they are not getting enough sleep. Step 3: The music provider provides relaxing music according to the driver's state. For example, if the driver is tense or tired, the music provider will play appropriate music along with a message such as "We will play relaxing music." The system can also analyze the driver's heart rate and breathing patterns to select music with a high relaxing effect. Step 4: The conversation response unit engages in small talk with the driver. For example, if the driver says, "The weather is nice today," the conversation response unit will respond with, "Yes, it is. It's sunny and pleasant today." The unit can also learn the driver's past conversation history and provide topics that match their individual interests. Step 5: The emergency response department will take emergency action based on the driver's health condition and driving situation. For example, if the driver loses consciousness or suddenly falls ill, the emergency response department will automatically stop the vehicle in a safe place and notify emergency contacts. It can also monitor the driver's emotional state and take emergency action if an abnormality is detected.

[0109] 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.

[0110] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> 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.

[0111] 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.

[0112] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0113] 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.

[0114] 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.

[0115] 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.

[0116] 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.

[0117] 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).

[0118] 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.

[0119] 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.

[0120] 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.

[0121] 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.

[0122] 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.

[0123] 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.

[0124] 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.

[0125] 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.

[0126] 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.

[0127] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0128] 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.

[0129] 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.

[0130] 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.

[0131] 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.

[0132] 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).

[0133] 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.

[0134] 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.

[0135] 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.

[0136] 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.

[0137] In the headset type terminal 314, 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. 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 specific processing unit 290 using these models.

[0138] 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.

[0139] 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.

[0140] 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.

[0141] 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.

[0142] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0143] 7, the 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.

[0144] 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.

[0145] 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.

[0146] 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.

[0147] 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).

[0148] 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.

[0149] 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.

[0150] 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.

[0151] 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.

[0152] 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.

[0153] In the robot 414, 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 robot 414 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.

[0154] 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.

[0155] 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.

[0156] 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.

[0157] 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.

[0158] 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.

[0159] 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.

[0160] 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.

[0161] 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).

[0162] 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.

[0163] 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."

[0164] 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.

[0165] 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.

[0166] 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.

[0167] 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.

[0168] 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.

[0169] 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.

[0170] 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.

[0171] 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.

[0172] 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.

[0173] 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.

[0174] 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.

[0175] 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. [Explanation of symbols]

[0176] 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. an attention alert unit that alerts a driver while driving; a vital sign measuring unit that measures the driver's pulse or blood sugar level using a device attached to a finger; a music providing unit that provides relaxing music according to the driver's state; a conversation response unit that responds to small talk with the driver; an emergency response unit that responds to emergencies according to the driver's health condition and driving situation; A system characterized by:

2. The attention drawing unit If the driver is about to deviate from the lane or if the distance to the vehicle ahead becomes too close, a voice message is issued to the driver.

2. The system of claim 1.

3. The biological information measurement unit When the pulse rate becomes abnormally high or the blood sugar level drops, the driver is advised to take a break or eat.

2. The system of claim 1.

4. The music providing unit When tension or fatigue of the driver is detected, the relaxing music is selected and played in the car.

2. The system of claim 1.

5. The conversation response unit The system of claim 1 , wherein the system engages in small talk with the driver, allowing the driver to enjoy a pleasant drive without feeling lonely.

6. The emergency response department: If the driver loses consciousness or becomes suddenly ill, the vehicle will automatically stop in a safe location and notify emergency contacts.

2. The system of claim 1.

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