WO2023157237A1 - Information processing system, information processing system control method, and measurement device - Google Patents

Information processing system, information processing system control method, and measurement device Download PDF

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Publication number
WO2023157237A1
WO2023157237A1 PCT/JP2022/006673 JP2022006673W WO2023157237A1 WO 2023157237 A1 WO2023157237 A1 WO 2023157237A1 JP 2022006673 W JP2022006673 W JP 2022006673W WO 2023157237 A1 WO2023157237 A1 WO 2023157237A1
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Prior art keywords
user
information processing
data
unit
electroencephalogram data
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PCT/JP2022/006673
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French (fr)
Japanese (ja)
Inventor
和貴 吉永
辰太郎 迫田
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株式会社EarBrain
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Priority to PCT/JP2022/006673 priority Critical patent/WO2023157237A1/en
Priority to JP2022525271A priority patent/JPWO2023157237A1/ja
Publication of WO2023157237A1 publication Critical patent/WO2023157237A1/en

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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/25Bioelectric electrodes therefor
    • A61B5/251Means for maintaining electrode contact with the body
    • A61B5/256Wearable electrodes, e.g. having straps or bands
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • A61B5/369Electroencephalography [EEG]
    • A61B5/372Analysis of electroencephalograms

Definitions

  • the present invention relates to an information processing system, an information processing system control method, and a measuring device, and more particularly to an information processing system for providing an electroencephalogram analysis service.
  • the present invention provides a measurement device that can be easily worn by the user to measure the user's brain waves while leading a daily life, and provides an action index that matches the user's condition based on the brain wave data acquired from the measurement device.
  • the purpose is to provide an information processing system, etc., capable of
  • An information processing system is an information processing system that includes at least a user terminal that wirelessly communicates with a measuring device that measures electroencephalogram data of a user, and an information processing device that analyzes the electroencephalogram data,
  • the measurement device includes an electroencephalogram acquisition unit that is worn on the user's ear and acquires electroencephalogram data, and a first transmission unit that wirelessly transmits the electroencephalogram data to the user terminal.
  • An electroencephalogram data acquisition unit that acquires electroencephalogram data
  • a user state acquisition unit that acquires state data representing the user's state when the electroencephalogram data was measured, and an action goal that is proposed to the user according to the electroencephalogram data and the state data.
  • a second transmission unit that transmits the action target to a predetermined output unit.
  • the information processing device further includes a learning unit that learns a plurality of combinations of electroencephalogram data and state data when the electroencephalogram data was measured, and the generation unit learns Behavioral goals may be generated based on the results of learning by the department.
  • the generation unit may generate at least one of a message, voice, image, and video that encourages rest or concentration as an action target.
  • the information processing system may further include a display section for displaying electroencephalogram data measured by the measuring device.
  • An information processing system further includes a storage unit that stores model electroencephalogram data obtained when a plurality of model users who satisfy a predetermined skill-related condition have each taken a predetermined action, and a generation unit. may generate an action goal to be proposed to the user based on the comparison between the model electroencephalogram data and the user's electroencephalogram data.
  • a control method for an information processing system is an information processing system that includes at least a user terminal that wirelessly communicates with a measuring device that measures electroencephalogram data of a user, and an information processing device that analyzes the electroencephalogram data.
  • a control method comprising: acquiring electroencephalogram data with a measuring device attached to the outer ear of a user; and wirelessly transmitting the electroencephalogram data to a user terminal; acquiring user's electroencephalogram data; acquiring state data representing the state of the user when the electroencephalogram data was measured; and generating an action goal to be proposed to the user according to the electroencephalogram data and the state data. and a step of transmitting the action target to a predetermined output unit.
  • a measuring device may include, as an electroencephalogram acquisition section, at least three or more electrode sections that are electrically insulated from each other on an ear pad that is inserted into the user's outer ear.
  • a measuring device may further include a main body provided with conductive parts that engage with the ear pads and conduct with the respective electrode parts, and the ear pads may be detachable from the main body.
  • a measuring device that can be easily worn by a user and is capable of measuring a user's electroencephalogram while leading a daily life; It is possible to provide an information processing system or the like that can provide a suitable behavior index.
  • FIG. 1 is a schematic diagram of an information processing system configuration according to an embodiment of the present invention
  • FIG. (a) to (d) are schematic diagrams of a measuring device according to an embodiment of the present invention. It is an example of a functional block diagram of a server (information processing device), a user terminal (user's terminal device), and an administrator terminal (administrator's terminal device) according to an embodiment of the present invention. It is a schematic diagram for explaining the operation of the information processing system according to one embodiment of the present invention.
  • 4 is a flow chart showing an operation example of a server according to one embodiment of the present invention.
  • FIG. 1 is a diagram showing a configuration example of an information processing system according to one embodiment of the present invention.
  • the information processing system 600 can realize an electroencephalogram analysis service that provides each user with an action target according to the state of the user based on the electroencephalogram of the user 20 (20A, 20B) measured by the measuring device 300 (300A, 300B). system.
  • the number of users is two, but the number of users 20 and the number of measuring devices 300 worn by the users are not limited to this.
  • the alphabetical characters in the reference numerals of the user 20, the measuring device 300, etc. will be omitted.
  • the user's state is estimated from the user's electroencephalogram, and an action goal that is in line with the user's state is provided.
  • the "behavior goal” may be an index of behavior or motion.
  • the user's sleep level depth of sleep
  • content music, video, voice, etc.
  • content that promotes awakening is provided. provide.
  • it estimates the user's fatigue level and provides content for resting or improving concentration. Note that the content provided to the user at this time is customized for each user (details will be described later).
  • the information processing system 600 includes a server (information processing device) 100, communication terminals (user terminals) 200 and (200A, 200B) of the user 20, a measuring device 300 for measuring brain waves of the user, and a storage device 400.
  • the server 100 is connected to the user terminal 200 via the network 500 and can execute various processes related to the electroencephalogram analysis service realized by the information processing system 600 .
  • Network 500 may include wireless networks and wired networks.
  • the network 500 is a wireless LAN (WLAN), a wide area network (WAN), LTE (long term evolution), a mobile communication system after the fourth generation communication (4G). etc. and combinations thereof. Note that the network 500 is not limited to these examples.
  • each function described as being provided by the server 100 may be realized by a plurality of servers.
  • the server 100 may be, for example, a so-called cloud server.
  • the server 100 is not limited to a physical server, and may include a software virtual server.
  • the measurement device 300 is worn on the ear (outer ear) of the user 20 and measures the electroencephalogram of the user 20 .
  • Data related to brain waves (brain wave data) measured by the measuring device 300 is transmitted to the user terminal 200 by short-range wireless communication (such as Bluetooth (registered trademark)).
  • the user terminal 200 is a communication terminal of a user who uses the electroencephalogram analysis service.
  • the user terminal 200 is connected to the server 100 via the network 500 and transmits the electroencephalogram data transmitted from the measuring device 300 to the server 100 .
  • the electroencephalogram data may be transmitted to the server 100 via, for example, an application installed in the user terminal 200 for using an electroencephalogram analysis service. Alternatively, it is not essential to install an application on the user terminal 200, and the user 20 accesses a web page for using the electroencephalogram analysis service provided by the server 100 from the user terminal 200 via a web browser or the like. , the electroencephalogram data may be transmitted to the server 100 .
  • FIG. 1 shows a smartphone as the user terminal 200
  • the user terminal 200 may be any terminal as long as it can implement the functions described in each embodiment described below.
  • the user terminal 200 may be a mobile phone, a computer (eg, tablet, desktop computer, notebook computer), or a wearable terminal (glasses type device, watch type device, etc.).
  • the storage device 400 stores (stores) various types of information (data) used by the information processing system 600 . Although only one storage device 400 is shown separately from the server 100 in FIG. 1, it may be integrated with the server 100. FIG. That is, the storage device 400 may be a volatile memory or a non-volatile memory of the server 100. FIG. Further, the storage device 400 may be composed of a plurality of storage devices.
  • 2(a)-(d) are schematic diagrams of a measuring device according to an embodiment of the present invention.
  • 2(a) and 2(b) are side views of the measuring device 300
  • FIG. 2(c) is an ear pad (also referred to as an “ear piece”)
  • FIG. 2(d) is the measuring device 300 with the ear pad removed. is an example of the body portion 30 of.
  • the measuring device 300 according to one embodiment of the present invention is an earphone type measuring device. Note that the measuring apparatus of the present invention is not limited to the one shown in FIG. 2, and the implementation method may be different as long as each function described below can be implemented.
  • the measuring device 300 is worn on the ear of the user 20 by fitting the ear pad 31 into the user's external auditory canal and the main body 30 into the auricle.
  • the ear pad 31 is provided with a plurality of electrically insulated electrodes 32, which are brought into contact with the user's ear canal to measure electrical signals (brain waves) appearing on the user's 20 skin.
  • electrical signals brain waves
  • FIG. 2 the case where four electrodes 32 are provided is shown.
  • the material of the ear pad 31 may be flexible in order to remove artifacts caused by body movements of the user 20 and to ensure contact pressure to the user's 20 external auditory canal.
  • the ear pads 31 are made of non-conductive elastomers, including non-conductive rubber and non-conductive silicone.
  • the electrodes 32 are made of a conductive elastomer containing conductive rubber, conductive silicon, coated with silver silver chloride (Ag/AgCl), one of the plurality of electrodes 32 being a reference electrode, see one
  • the electroencephalogram may be measured from the potential difference between the reference electrode and the other electrodes, with the remaining two electrodes being the detection electrodes. That is, according to the measuring device according to one embodiment of the present invention, brain waves can be measured only in the external auditory canal. Also, the measuring device according to an embodiment of the present invention may be worn only on one ear, or may be worn on both ears to measure electroencephalograms. Note that the ear pads 31 may be customized for each user, or may be prepared in a plurality of sizes such as large, medium, and small.
  • the main unit 30 incorporates an electronic circuit (chip) that implements a communication unit 320, an electroencephalogram processing unit 340, a power supply unit 350, etc., which will be described later, processes electroencephalograms measured by the electrodes 32, and wirelessly transmits the electroencephalograms to the user terminal 200.
  • the measuring device 300 may include a speaker 360 and function as a general earphone.
  • the main body part 30 is not particularly limited as long as it is made of a material that does not affect the measurement. It may be made of synthetic resin (plastic).
  • FIG. 2(c) is a detailed view of the ear pad 31, and FIG. 2(d) shows the body part 30 with the ear pad 31 removed.
  • the ear pad 31 may be detachable and replaceable.
  • An earphone mounting portion 34 of the body portion 30 is provided with a conductive portion 33 that conducts with the electrode 32 , and the electrode 32 and the conductive portion 33 are brought into contact with each other to transmit brain waves to a chip in the body portion 30 .
  • the ear pad 31 may wear out due to repeated wearing on the ear, but by making it detachable and replaceable, it is possible to secure the adhesion of the ear pad 31 to the external auditory canal and maintain the accuracy of electroencephalogram measurement.
  • the measurement device 300 includes a control unit 310 , a communication unit (first transmission unit) 320 , an electrode unit (electroencephalogram acquisition unit) 330 , an electroencephalogram processing unit 340 , a power supply unit 350 , a speaker 360 and a storage unit 370 .
  • Control unit 310 is typically a processor and is realized by an MPU (Micro Processing Unit).
  • the communication unit 320 is implemented by, for example, a Bluetooth antenna, and transmits and receives data to and from the user terminal 200 .
  • the electrode portion 330 is the electrode 32 described above.
  • the electroencephalogram processing unit 340 processes electroencephalograms measured by the electrode unit 330 .
  • Processing the brain waves may include signal amplification, noise removal, and analog to digital signal conversion.
  • the power supply unit 350 supplies power to the measuring device 300 .
  • the storage unit 370 stores various programs and various data necessary for the operation of the measuring device 300 .
  • the storage unit 370 may include, for example, flash memory or the like.
  • Storage unit 370 may also include a memory (RAM (Random Access Memory), ROM (Read Only Memory), etc.) that provides a work area for control unit 310 .
  • RAM Random Access Memory
  • ROM Read Only Memory
  • Hardware Configuration of User Terminal User terminal 200 includes control unit 210 , communication unit 220 , display unit 230 , input/output unit 240 , and storage unit 270 .
  • the control unit 210 is typically a processor, and includes a central processing unit (CPU), MPU (Micro Processing Unit), GPU (Graphics Processing Unit), etc., integrated circuit (IC (Integrated Circuit) chip, LSI ( It is realized by a logic circuit (hardware) formed in Large Scale Integration) or a dedicated circuit.
  • the control unit 210 reads a program stored in the storage unit 270 and executes the code or instructions included in the read program, thereby executing the functions and methods described in each embodiment.
  • the storage unit 270 stores various programs and various data required for the user terminal 200 to operate.
  • the storage unit 270 stores an application program for using the electroencephalogram analysis service on the user terminal 200 .
  • Storage unit 270 includes, for example, a flash memory or the like.
  • Storage unit 270 also includes a memory (RAM, ROM, etc.) that provides a work area for control unit 210 .
  • Storage unit 270 further includes user information 271 .
  • User information is identification information for uniquely identifying a user who uses the electroencephalogram analysis service, and may be an arbitrary identifier (ID), user name, or the like.
  • the communication unit 220 is implemented as hardware such as a network adapter, communication software, or a combination thereof.
  • the communication unit 220 transmits and receives various data to and from the server 100 via the network 500 .
  • the communication may be performed by wire or wirelessly, and any communication protocol may be used as long as mutual communication can be performed.
  • the communication unit 220 also transmits and receives various data (eg, electroencephalogram data) to and from the measuring device 300 by short-range wireless communication.
  • the communication unit 220 also transmits various data to the server 100 according to instructions from the control unit 210 .
  • the communication unit 220 may receive various data transmitted from the server 100 and transmit the data to the control unit 210 .
  • the communication unit 220 when the communication unit 220 is composed of a physically structured circuit, it may be expressed as a communication circuit.
  • the display unit 230 is a monitor that displays data according to the display data written in the frame buffer, and is, for example, a touch panel, a touch display, or the like.
  • the input/output unit 240 includes an input device for inputting various operations to the user terminal 200 and an output device for outputting processing results processed by the user terminal 200 .
  • Input devices include, for example, touch panels, touch displays, cameras, and microphones.
  • the output device outputs the processing result processed by the control unit 210, and includes, for example, a display, a touch panel, a speaker, and the like.
  • the user terminal 200 includes a communication control section 211 , a display control section 212 , and an input/output control section 213 as functions realized by the control section 210 .
  • each functional unit shown in FIG. 2 is not essential, and non-essential functional units may be omitted in each embodiment described below. Also, the function or processing of each functional unit may be realized by machine learning or AI (Artificial Intelligence) within a feasible range.
  • AI Artificial Intelligence
  • the server 100 may execute part of the various processes described below assuming that the user terminal 200 executes them.
  • the communication control unit 211 controls communication with the server 100 via the network 500 by the communication unit 220, and executes transmission and reception of various information. Also, the communication control unit 211 controls short-range wireless communication with the measuring device 300 by the communication unit 220 .
  • the display control unit 212 controls the display of data on the display unit 230.
  • the display control unit 212 causes the display unit 230 to display information about the measured electroencephalogram data.
  • the input/output control unit 213 controls transmission of various types of information with external devices via the input/output unit 240 .
  • the input/output control unit 213 transmits various types of information to each functional unit according to the input operation of the user 20 received by the input device, It transmits information from each functional unit.
  • the input/output control unit 213 also includes a user state input unit 214 .
  • the user state input unit 214 receives input from the user 20 indicating what state the user is in. For example, when the user's electroencephalogram is received from the measuring device 300, the user state input unit 214 receives input of information regarding the action that the user was performing as the user state.
  • the information about the action performed by the user includes, for example, information about the action object (music name, movie name, TV program, book title, etc.), exercise information (running, yoga, walking, etc.), and place information. (Park, city, forest, sea, etc.) and the like.
  • information indicating the user's psychological state may be received from the user.
  • the information indicating the user's mental state may be information obtained by subjectively judging by the user what kind of mental state the user is in, such as user's emotions, surprise, stress, concentration, or the like.
  • Information indicating the psychological state of the user is displayed on the display unit 230, for example, as options such as “fun”, “sad”, “interesting”, “angry”, “feeling stress", and "concentrating”. may be displayed and input by the user to select.
  • the server 100 includes a control unit 110 , a communication unit (second transmission unit) 120 and a storage unit 170 .
  • the control unit 110 is typically a processor and includes a central processing unit (CPU), MPU, GPU, microprocessor, processor core, multiprocessor, ASIC, FPGA, etc., and is formed in an integrated circuit chip, LSI, or the like. It may be realized by a logic circuit (hardware) or a dedicated circuit.
  • the storage unit 170 stores various programs and various data required for the server 100 to operate.
  • the storage unit 170 includes, for example, an HDD, SSD, flash memory, and the like.
  • Storage unit 170 also includes a memory that provides a work area for control unit 110 .
  • the communication unit 120 is implemented as hardware such as a network adapter, communication software, or a combination thereof.
  • the communication unit 120 transmits and receives various data to and from the user terminal 200 via the network 500 .
  • the communication unit 120 transmits various data to the user terminal 200 according to instructions from the control unit 110 .
  • the communication unit 120 receives various data transmitted from the user terminal 200 and transmits the data to the control unit 110 .
  • the server 100 includes a communication control unit 111, an electroencephalogram data acquisition unit 112, a user state acquisition unit 113, an analysis unit 114, a learning unit 115, and a generation unit 116 as functions realized by the control unit 110.
  • a communication control unit 111 an electroencephalogram data acquisition unit 112
  • a user state acquisition unit 113 an analysis unit 114
  • a learning unit 115 an analysis unit 116
  • a generation unit 116 as functions realized by the control unit 110.
  • the communication control unit 111 controls communication with the user terminal 200 via the communication unit 120.
  • the electroencephalogram data acquisition unit 112 acquires electroencephalogram data transmitted from the user terminal 200 .
  • the electroencephalogram data may be associated with user information for identifying which user the data belongs to.
  • the user status acquisition unit 113 acquires the user status described above.
  • the user state is associated with the electroencephalogram acquired by the electroencephalogram data acquisition unit 112 .
  • “Associating a user state with an electroencephalogram” may refer to associating a certain user state with electroencephalogram data measured while in that user state.
  • the analysis unit 114 analyzes the electroencephalogram data.
  • Analytical processing refers to the Fourier transform of electroencephalogram data, which is time-series data, into frequency data, the removal of artifacts (noise different from electroencephalograms) included in the electroencephalogram data, and the like.
  • the generation unit 116 generates action goals to be proposed to the user according to the electroencephalogram data and the state data. That is, the generation unit 116 generates the action target of the user from the electroencephalogram frequency data analyzed by the analysis unit 114 .
  • brain waves are ⁇ (delta) waves (0.5-3 Hz), ⁇ (theta) waves (4-7 Hz), ⁇ (alpha) waves (8-13 Hz), ⁇ (beta) waves (14-30 Hz), depending on the frequency. , ⁇ (gamma) waves (30 Hz or higher).
  • the amount of expression of these brain waves indicates what state the user is in (deep sleep, meditation, creativity and insight, joyful immersion, calmness). , relaxed state, frustrated state, worry, tension, anger, excitement, etc.).
  • the generation unit 116 detects, as a result of the analysis by the analysis unit 114, the timing of changing from ⁇ waves and ⁇ waves emitted when one is concentrating to ⁇ waves emitted when one is drowsy, Action goals may be generated.
  • the action goal generated by the generation unit 116 is transmitted from the communication unit 120 to the user terminal 200 and displayed on the display unit 230 of the user terminal 200, or transmitted from the user terminal 200 to the measurement device 300 to function as an earphone. It may be output by sound from the measuring device 300 .
  • the action goal is to output an alert from the user terminal 200 or output an announcement from the measuring device 300 such as "It's about time to lose concentration. Let's take a break for 5 minutes.” good.
  • the learning unit 115 learns a plurality of combinations of electroencephalogram data and state data when the electroencephalogram data was measured.
  • the learning unit 115 may store, in the storage device 400 for each user, state data of the user when brain wave frequency data ( ⁇ waves, ⁇ waves, etc.) was measured.
  • FIG. 3 shows an example of a table TB10 in which electroencephalogram data and state data are associated with each user.
  • alpha waves are measured when user A listens to music A or music B or watches movie C.
  • ⁇ waves are measured when user A listens to music E, reads book D, walks, and the like.
  • the user can lead a daily life while wearing the earphone-type measuring device 300, so that it is possible to acquire electroencephalograms that transition in the daily life.
  • state data related to the user's state is also acquired, what kind of brain waves ( ⁇ waves, ⁇ waves, etc.) are obtained when the user is in what state (behavior, movement, target object, etc.) ) is measured can be accumulated for each user.
  • learning by the learning unit 115 may be performed as follows. For example, regarding the judgment of the presence or absence of concentration, the user as a subject performs a simple task that requires concentration for a predetermined time (for example, 30 seconds) and does nothing for a predetermined time (for example, 30 seconds). Acquire electroencephalogram data during repetition with the relaxed state. A simple task that requires concentration may be a known game application, calculation, or the like. At this time, the electroencephalogram data during work that requires concentration is labeled as "1", the electroencephalogram data during relaxation is labeled as "0", the state of the electroencephalogram is labeled as an explanatory variable, and the labels 0 and 1 as the presence or absence of concentration are labeled as objective variables.
  • supervised machine learning can be performed.
  • acquisition of learning data and machine learning may continue during predetermined actions (executing an application, listening to music, exercising, etc.) performed in daily life.
  • the generation unit 116 may generate action goals based on the learning result of the learning unit 115 . For example, when gamma waves indicating that user A is tense or highly stressed are measured, the generation unit 116 creates a relaxed state based on the table TB10 for user A (generates alpha waves). may be output from the measuring device 300 . Note that the action goal does not necessarily have to be the same as the user's past action. For example, through learning by the learning unit 115, genres of music and videos, and categories of motions that the user is likely to produce ⁇ waves are estimated, such as “user A emits ⁇ waves when listening to modern classical music”, “user B emits ⁇ waves at 70 A setting such as ⁇ wave is emitted when listening to age rock may be made.
  • the action goal may be at least one of a message, voice, image, and moving image that encourages rest or concentration.
  • the output destination of the action target may be the display unit 230 of the user terminal 200, the measuring device 300, or a smart speaker (not shown).
  • the output destination may be the display or speaker of smart glasses or a smart watch.
  • Detailed information about the electroencephalogram data analyzed by the analysis unit 114 may be displayed on a predetermined display unit together with time axis data, frequency data, state data, and the like.
  • time-axis data of the user's electroencephalogram and the state of the user when certain frequency data ( ⁇ waves, ⁇ waves, etc.) appear may be listed.
  • Detailed information may be provided by an API (Application Program Interface), for example. That is, the information processing system 600 according to an embodiment of the present invention can provide a platform for electroencephalogram data.
  • the storage device 400 stores model electroencephalogram data obtained when a plurality of users who satisfy a predetermined skill-related condition have each taken a predetermined action.
  • a "predetermined condition regarding skill” refers to a predetermined condition regarding some ability such as user's academic ability, physical ability, or artistic ability. Acquisition of a score equal to or higher than a predetermined threshold", “cook”, “musician”, “painter”, “novelist”, “swimmer”, and the like.
  • electroencephalograms obtained when a plurality of users who satisfy a predetermined condition regarding these skills take a predetermined action may be accumulated as model electroencephalogram data.
  • the predetermined actions are actions related to skills, such as playing a musical instrument in the example of a "musician”, cooking in the example of a “cook”, and scoring above a predetermined threshold in an academic test If it is a user who "acquired", it may be studying, taking a test, or the like.
  • the generation unit 116 generates an action goal to be proposed to the user based on the comparison between the model electroencephalogram data and the user's electroencephalogram data.
  • the generation unit 116 may score the user's brain wave based on the difference between the user's brain wave data and the model brain wave data, and generate content (BGM music, message, etc.) as an action target based on the score. .
  • scoring for example, the duration of ⁇ waves and ⁇ waves of model electroencephalogram data that appears in a concentrated state is measured, and the data with the longest duration in each action (cooking, academic ability test, playing a musical instrument) is set to 100. Then, the individual user's ⁇ -wave or ⁇ -wave duration may be calculated as a percentage and scored.
  • the server 100 receives, from the user terminal 200, electroencephalogram data acquired by the measuring device 300 worn on the user's ear and transmitted to the user terminal 200 (step S11).
  • the server 100 further acquires state data representing the state of the user when the electroencephalogram data was measured (step S12).
  • an action goal to be proposed to the user is generated according to the electroencephalogram data and the state data (step S13).
  • the server 100 transmits the action target to a predetermined output unit (step S14).
  • the measuring device 300 is not limited to the illustrated one.
  • a measuring device is described in which an ear pad having a plurality of electrodes including a reference electrode and a reference electrode is inserted into the ear (external auditory canal).
  • the measuring device may be one in which the reference electrode and the reference electrode are attached to the auricle or the mastoid process.
  • the electrodes may be formed by coating the surface of the ear pad with silver-silver chloride (Ag/AgCl), or by mixing silver-silver chloride (Ag/AgCl) with the material of the ear pad and molding.
  • the method of realizing the electrodes is not limited to the surface electrodes described above, and any electrodes that can acquire biological information, such as needle electrodes, may be used.
  • the electroencephalogram analysis service For example, services that can be provided by the electroencephalogram analysis service according to one embodiment of the present invention are described below.
  • a message such as "You should go to bed soon and wake up early tomorrow" will be sent from the user terminal.
  • the quality of the user's sleep is measured from the received brain waves and notified from the user terminal.
  • ⁇ At factories and construction sites if a decline in the concentration of workers is detected from the brain waves, the worker will be warned by voice etc. If there is no improvement in the worker's EEG, notify the manager or stop the work (e.g., machine) (applicable to long-distance drivers)
  • the program of each embodiment of the present disclosure may be provided in a state stored in a storage medium readable by the information processing device.
  • the storage medium can store the program in a "non-temporary tangible medium".
  • Programs include, for example, software programs and control programs.
  • the server 100 executes a program loaded on the memory by the processor, thereby causing the communication control unit 111, the electroencephalogram data acquisition unit 112, the user state acquisition unit 113, the analysis It functions as a unit 114 , a learning unit 115 and a generation unit 116 .
  • the storage medium may, where appropriate, be one or more semiconductor-based or other integrated circuits (ICs) (e.g., field programmable gate arrays (FPGAs), application specific ICs (ASICs), etc.); Disk drive (HDD), hybrid hard drive (HHD), optical disk, optical disk drive (ODD), magneto-optical disk, magneto-optical drive, floppy diskette, floppy disk drive (FDD), magnetic tape, solid state drive (SSD), RAM drive, secure digital card or drive, any other suitable storage medium, or any suitable combination of two or more thereof.
  • ICs e.g., field programmable gate arrays (FPGAs), application specific ICs (ASICs), etc.
  • Disk drive HDD
  • HD hybrid hard drive
  • ODD optical disk drive
  • magneto-optical disk magneto-optical drive
  • FDD floppy diskette
  • FDD floppy disk drive
  • SSD solid state drive
  • RAM drive secure digital card or drive, any other suitable storage medium, or any
  • the program of the present disclosure may be provided to the server 100 via any transmission medium (communication network, broadcast waves, etc.) capable of transmitting the program.
  • any transmission medium communication network, broadcast waves, etc.
  • Each embodiment of the present disclosure can also be implemented in the form of a data signal embedded in a carrier wave in which a program is embodied by electronic transmission.
  • the program of the present disclosure may be implemented using, for example, script languages such as JavaScript (registered trademark) and Python, C language, Go language, Swift, Koltin, Java (registered trademark), and the like.
  • control unit 111 communication control unit 112 electroencephalogram data acquisition unit 113 state data acquisition unit 114 analysis unit 115 learning unit 116 generation unit 120 communication unit 170 storage device 200 user terminal (terminal device) 210 control unit 211 communication control unit 212 display control unit 213 input/output control unit 214 electroencephalogram data input unit 220 communication unit 230 display unit 240 input/output unit 270 storage unit 300 measurement device 310 control unit 320 communication unit 330 electrode unit 340 electroencephalogram processing unit 350 power supply unit 360 speaker 370 storage unit 400 storage device 500 network 600 information processing system

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Abstract

Provided is an information processing system including at least a user terminal that wirelessly communicates with a measurement device for measuring brainwave data of a user, and an information processing device that analyzes the brainwave data. The measurement device is provided with a brainwave acquisition unit that is worn on an ear of the user and that acquires brainwave data, and a first transmission unit that wirelessly transmits the brainwave data to the user terminal. The information processing device is provided with a reception unit that receives, from the user terminal, the brainwave data of the user acquired by the measurement device, a user state acquisition unit that acquires state data indicating a state of the user when the brainwave data was measured, a generation unit that, in accordance with the brainwave data and the state data, generates an action goal to propose to the user, and a second transmission unit that transmits the action goal to a prescribed output unit.

Description

情報処理システム、情報処理システムの制御方法、及び測定装置Information processing system, information processing system control method, and measuring device
 本発明は、情報処理システム、情報処理システムの制御方法、及び測定装置に関し、特に、脳波の解析サービスを提供するための情報処理システム等に関する。 The present invention relates to an information processing system, an information processing system control method, and a measuring device, and more particularly to an information processing system for providing an electroencephalogram analysis service.
 従来、脳波測定は複数の電極を備えるヘルメット型の測定装置を頭部に装着し、病院の診察室等で測定が行われる。このため、測定に手間がかかるとともに、測定場所が限定される。また、測定装置を頭部に装着するとユーザの髪の毛が抵抗となって測定精度が上がらない、この抵抗を下げるために電極に導電性ジェルを付ける必要がある等の問題がある。これに対し、近年、ヘッドセット型の脳波測定装置が存在する(例えば、特許文献1)。 Conventionally, electroencephalogram measurements are performed in a hospital examination room, etc., with a helmet-type measuring device equipped with multiple electrodes attached to the head. For this reason, the measurement is troublesome and the measurement place is limited. In addition, when the measuring device is worn on the head, the user's hair acts as a resistance, preventing the accuracy of measurement from increasing. In order to reduce this resistance, it is necessary to apply conductive gel to the electrodes. On the other hand, in recent years, there is a headset type electroencephalogram measuring device (for example, Patent Document 1).
特開2017-108759号公報JP 2017-108759 A
 日常生活を送るユーザの脳波を取得し、ユーザの状態を把握したいという要求がある。この要求に対し、特許文献1に記載のヘッドセット型の脳波測定装置では、日常生活では使いづらい。  There is a demand to acquire the brain waves of users in their daily lives and to understand the user's condition. In response to this demand, the headset-type electroencephalogram measurement device described in Patent Document 1 is difficult to use in daily life.
 本発明は、ユーザが手軽に装着して日常生活を送りながら、ユーザの脳波を測定可能な測定装置と、当該測定装置から取得した脳波データに基づいて、ユーザの状態に合った行動指標を提供可能な情報処理システム等を提供することを目的とする。 The present invention provides a measurement device that can be easily worn by the user to measure the user's brain waves while leading a daily life, and provides an action index that matches the user's condition based on the brain wave data acquired from the measurement device. The purpose is to provide an information processing system, etc., capable of
 本発明の一実施形態に係る情報処理システムは、ユーザの脳波データを測定する測定装置と無線通信するユーザ端末と、脳波データを解析する情報処理装置と、を少なくとも含む情報処理システムであって、測定装置は、ユーザの耳に装着されて脳波データを取得する脳波取得部と、脳波データをユーザ端末へ無線送信する第1送信部とを備え、情報処理装置は、測定装置が取得したユーザの脳波データを取得する脳波データ取得部と、脳波データを測定した際のユーザの状態を表す状態データを取得するユーザ状態取得部と、脳波データと状態データとに応じて、ユーザへ提案する行動目標を生成する生成部と、行動目標を所定の出力部へ送信する第2送信部とを備える。 An information processing system according to an embodiment of the present invention is an information processing system that includes at least a user terminal that wirelessly communicates with a measuring device that measures electroencephalogram data of a user, and an information processing device that analyzes the electroencephalogram data, The measurement device includes an electroencephalogram acquisition unit that is worn on the user's ear and acquires electroencephalogram data, and a first transmission unit that wirelessly transmits the electroencephalogram data to the user terminal. An electroencephalogram data acquisition unit that acquires electroencephalogram data, a user state acquisition unit that acquires state data representing the user's state when the electroencephalogram data was measured, and an action goal that is proposed to the user according to the electroencephalogram data and the state data. and a second transmission unit that transmits the action target to a predetermined output unit.
 本発明の一実施形態に係る情報処理システムにおいて、情報処理装置は、脳波データと、脳波データを測定した際の状態データとの複数の組み合わせを学習する学習部をさらに備え、生成部は、学習部による学習結果に基づいて、行動目標を生成してよい。 In an information processing system according to an embodiment of the present invention, the information processing device further includes a learning unit that learns a plurality of combinations of electroencephalogram data and state data when the electroencephalogram data was measured, and the generation unit learns Behavioral goals may be generated based on the results of learning by the department.
 本発明の一実施形態に係る情報処理システムにおいて、生成部は、行動目標として、休息または集中を促すメッセージ、音声、画像及び動画像の少なくともいずれかを生成してよい。 In the information processing system according to one embodiment of the present invention, the generation unit may generate at least one of a message, voice, image, and video that encourages rest or concentration as an action target.
 本発明の一実施形態に係る情報処理システムは、測定装置によって測定された脳波データを表示させる表示部をさらに備えてよい。 The information processing system according to one embodiment of the present invention may further include a display section for displaying electroencephalogram data measured by the measuring device.
 本発明の一実施形態に係る情報処理システムは、スキルに関する所定の条件を満たす複数の模範ユーザが、それぞれ、所定の行動をとった際の模範脳波データを記憶する記憶部をさらに備え、生成部は、模範脳波データと、ユーザの脳波データとの比較に基づき、ユーザへ提案する行動目標を生成してよい。 An information processing system according to an embodiment of the present invention further includes a storage unit that stores model electroencephalogram data obtained when a plurality of model users who satisfy a predetermined skill-related condition have each taken a predetermined action, and a generation unit. may generate an action goal to be proposed to the user based on the comparison between the model electroencephalogram data and the user's electroencephalogram data.
 本発明の一実施形態に係る情報処理システムの制御方法は、ユーザの脳波データを測定する測定装置と無線通信するユーザ端末と、脳波データを解析する情報処理装置と、を少なくとも含む情報処理システムの制御方法であって、測定装置に、ユーザの外耳に装着されて脳波データを取得するステップと、脳波データをユーザ端末へ無線送信するステップとを実行させ、情報処理装置に、測定装置が取得したユーザの脳波データを取得するステップと、脳波データを測定した際のユーザの状態を表す状態データを取得するステップと、脳波データと状態データとに応じて、ユーザへ提案する行動目標を生成するステップと、行動目標を所定の出力部へ送信するステップとを実行させる。 A control method for an information processing system according to an embodiment of the present invention is an information processing system that includes at least a user terminal that wirelessly communicates with a measuring device that measures electroencephalogram data of a user, and an information processing device that analyzes the electroencephalogram data. A control method comprising: acquiring electroencephalogram data with a measuring device attached to the outer ear of a user; and wirelessly transmitting the electroencephalogram data to a user terminal; acquiring user's electroencephalogram data; acquiring state data representing the state of the user when the electroencephalogram data was measured; and generating an action goal to be proposed to the user according to the electroencephalogram data and the state data. and a step of transmitting the action target to a predetermined output unit.
 本発明の一実施形態に係る測定装置は、脳波取得部として、ユーザの外耳に挿入されるイヤーパッドに、それぞれ電気的に絶縁するように設けられた少なくとも3以上の電極部を備えてよい。 A measuring device according to an embodiment of the present invention may include, as an electroencephalogram acquisition section, at least three or more electrode sections that are electrically insulated from each other on an ear pad that is inserted into the user's outer ear.
 本発明の一実施形態に係る測定装置は、イヤーパッドと係合し、それぞれの電極部と導通する導電部が設けられた本体部をさらに備え、イヤーパッドは、本体部から着脱可能であってよい。 A measuring device according to an embodiment of the present invention may further include a main body provided with conductive parts that engage with the ear pads and conduct with the respective electrode parts, and the ear pads may be detachable from the main body.
 本発明の一実施形態によれば、ユーザが手軽に装着して日常生活を送りながら、ユーザの脳波を測定可能な測定装置と、当該測定装置から取得した脳波データに基づいて、ユーザの状態に合った行動指標を提供可能な情報処理システム等を提供することができる。 According to an embodiment of the present invention, a measuring device that can be easily worn by a user and is capable of measuring a user's electroencephalogram while leading a daily life; It is possible to provide an information processing system or the like that can provide a suitable behavior index.
本発明の一実施形態に係る情報処理システム構成の概略図である。1 is a schematic diagram of an information processing system configuration according to an embodiment of the present invention; FIG. (a)~(d)は、本発明の一実施形態に係る測定装置の概略図である。(a) to (d) are schematic diagrams of a measuring device according to an embodiment of the present invention. 本発明の一実施形態に係るサーバ(情報処理装置)、ユーザ端末(ユーザの端末装置)、及び管理者端末(管理者の端末装置)の機能ブロック図の一例である。It is an example of a functional block diagram of a server (information processing device), a user terminal (user's terminal device), and an administrator terminal (administrator's terminal device) according to an embodiment of the present invention. 本発明の一実施形態に係る情報処理システムの動作を説明するための概略図である。It is a schematic diagram for explaining the operation of the information processing system according to one embodiment of the present invention. 本発明の一実施形態に係るサーバの動作例を示すフローチャートである。4 is a flow chart showing an operation example of a server according to one embodiment of the present invention;
 以降、図を用いて、本開示に係る発明(本発明ともいう)の一実施形態を説明する。なお、図は一例であって、本発明は図に示すものに限定されない。例えば、図示したサーバ、ユーザの端末装置等の数、フローチャート、測定装置の外観等は一例であって、本発明はこれらに限定されるものではない。 Hereinafter, one embodiment of the invention (also referred to as the present invention) according to the present disclosure will be described with reference to the drawings. The drawings are only examples, and the present invention is not limited to those shown in the drawings. For example, the illustrated number of servers, user terminal devices, etc., flow chart, appearance of the measuring device, etc. are examples, and the present invention is not limited to these.
<システム構成>
 図1は、本発明の一実施形態に係る情報処理システムの構成例を示す図である。情報処理システム600は、測定装置300(300A,300B)によって測定されたユーザ20(20A,20B)の脳波に基づき、ユーザそれぞれにユーザの状態に合わせた行動目標を提供する脳波解析サービスを実現可能なシステムである。なお、図1の例では、ユーザの数が二人の例を示してあるが、ユーザ20の数およびユーザが装着する測定装置300の数はこれに限定されない。なお、これ以降、特に区別する必要が無い場合、ユーザ20、測定装置300等の符号における英字は省略して説明する。
<System configuration>
FIG. 1 is a diagram showing a configuration example of an information processing system according to one embodiment of the present invention. The information processing system 600 can realize an electroencephalogram analysis service that provides each user with an action target according to the state of the user based on the electroencephalogram of the user 20 (20A, 20B) measured by the measuring device 300 (300A, 300B). system. In the example of FIG. 1, the number of users is two, but the number of users 20 and the number of measuring devices 300 worn by the users are not limited to this. Hereinafter, when there is no particular need to distinguish between them, the alphabetical characters in the reference numerals of the user 20, the measuring device 300, etc. will be omitted.
 本発明の一実施形態に係る脳波解析サービスによれば、ユーザの脳波からユーザの状態を推定し、ユーザの状態に即した行動目標が提供される。ここで、「行動目標」とは、行動や動作の指標であってよい。例えば、脳波解析サービスによれば、ユーザの脳波からユーザの睡眠レベル(睡眠の深さ)を推定し、眠りを維持させるコンテンツ(音楽、映像、音声等)を提供したり、覚醒を促すコンテンツを提供したりする。また、ユーザの疲労度を推定し、休息または集中を高めるコンテンツを提供したりする。なお、このときユーザに提供されるコンテンツは、ユーザそれぞれにカスタマイズされる(詳細は後述する)。 According to the electroencephalogram analysis service according to one embodiment of the present invention, the user's state is estimated from the user's electroencephalogram, and an action goal that is in line with the user's state is provided. Here, the "behavior goal" may be an index of behavior or motion. For example, according to an electroencephalogram analysis service, the user's sleep level (depth of sleep) is estimated from the user's electroencephalogram, and content (music, video, voice, etc.) that maintains sleep is provided, or content that promotes awakening is provided. provide. In addition, it estimates the user's fatigue level and provides content for resting or improving concentration. Note that the content provided to the user at this time is customized for each user (details will be described later).
 情報処理システム600は、サーバ(情報処理装置)100と、ユーザ20の通信端末(ユーザ端末)200と(200A,200B)、ユーザの脳波を測定する測定装置300と、記憶装置400とを備える。 The information processing system 600 includes a server (information processing device) 100, communication terminals (user terminals) 200 and (200A, 200B) of the user 20, a measuring device 300 for measuring brain waves of the user, and a storage device 400.
 サーバ100は、ユーザ端末200とネットワーク500を介して接続され、情報処理システム600により実現される脳波解析サービスに係る種々の処理を実行することができる。ネットワーク500は、無線ネットワークや有線ネットワークを含んでよい。具体的には、例えば、ネットワーク500は、ワイヤレスLAN(wireless LAN:WLAN)や広域ネットワーク(wide area network:WAN)、LTE(long term evolution)、第4世代通信(4G)以降の移動体通信システム等及びこれらの組み合わせであってよい。なお、ネットワーク500は、これらの例に限定されない。 The server 100 is connected to the user terminal 200 via the network 500 and can execute various processes related to the electroencephalogram analysis service realized by the information processing system 600 . Network 500 may include wireless networks and wired networks. Specifically, for example, the network 500 is a wireless LAN (WLAN), a wide area network (WAN), LTE (long term evolution), a mobile communication system after the fourth generation communication (4G). etc. and combinations thereof. Note that the network 500 is not limited to these examples.
 なお、図1において、サーバ100は1つのみ示してあるが、サーバ100が備えるとして説明する各機能は、複数のサーバによって実現されてもよい。また、サーバ100は、例えば、いわゆるクラウドサーバでもよい。すなわち、サーバ100は、物理的なサーバに限らず、ソフトウェアによる仮想的なサーバも含まれてよい。 Although only one server 100 is shown in FIG. 1, each function described as being provided by the server 100 may be realized by a plurality of servers. Also, the server 100 may be, for example, a so-called cloud server. In other words, the server 100 is not limited to a physical server, and may include a software virtual server.
 詳細は後述するが、測定装置300は、ユーザ20の耳(外耳)に装着されてユーザ20の脳波を測定する。測定装置300によって測定された脳波に関するデータ(脳波データ)は、近距離無線通信(ブルートゥース(Bluetooth(登録商標)等)でユーザ端末200に送信される。 Although the details will be described later, the measurement device 300 is worn on the ear (outer ear) of the user 20 and measures the electroencephalogram of the user 20 . Data related to brain waves (brain wave data) measured by the measuring device 300 is transmitted to the user terminal 200 by short-range wireless communication (such as Bluetooth (registered trademark)).
 ユーザ端末200は、脳波解析サービスを利用するユーザの通信端末である。ユーザ端末200は、サーバ100とネットワーク500を介して接続され、測定装置300から送信された脳波データをサーバ100へ送信する。脳波データは、例えば、ユーザ端末200に脳波解析サービスを利用するためのアプリケーションがインストールされ、そのアプリケーションを介してサーバ100へ送信されてよい。あるいは、ユーザ端末200へのアプリケーションのインストールは必須ではなく、ユーザ20は、ユーザ端末200から、webブラウザ等を介して、サーバ100において提供される脳波解析サービスを利用するためのwebページにアクセスし、脳波データをサーバ100へ送信してもよい。 The user terminal 200 is a communication terminal of a user who uses the electroencephalogram analysis service. The user terminal 200 is connected to the server 100 via the network 500 and transmits the electroencephalogram data transmitted from the measuring device 300 to the server 100 . The electroencephalogram data may be transmitted to the server 100 via, for example, an application installed in the user terminal 200 for using an electroencephalogram analysis service. Alternatively, it is not essential to install an application on the user terminal 200, and the user 20 accesses a web page for using the electroencephalogram analysis service provided by the server 100 from the user terminal 200 via a web browser or the like. , the electroencephalogram data may be transmitted to the server 100 .
 なお、図1では、ユーザ端末200としてスマートフォンを示してあるが、ユーザ端末200としては、これ以降に説明する各実施形態において記載する機能を実現できる端末であればどのような端末でもよい。例えば、ユーザ端末200は、携帯電話、コンピュータ(例えば、タブレット、デスクトップパソコン、ノートパソコン)、ウェアラブル端末(メガネ型デバイス、時計型デバイスなど)でもよい。 Although FIG. 1 shows a smartphone as the user terminal 200, the user terminal 200 may be any terminal as long as it can implement the functions described in each embodiment described below. For example, the user terminal 200 may be a mobile phone, a computer (eg, tablet, desktop computer, notebook computer), or a wearable terminal (glasses type device, watch type device, etc.).
 記憶装置400は、情報処理システム600で利用する各種情報(データ)を記憶(格納)する。なお、図1において、記憶装置400はサーバ100とは別に1つのみ示してあるが、サーバ100に一体化されてもよい。すなわち、記憶装置400は、サーバ100の揮発性メモリ又は不揮発性メモリでもよい。また、記憶装置400は、複数の記憶装置から構成されていてもよい。 The storage device 400 stores (stores) various types of information (data) used by the information processing system 600 . Although only one storage device 400 is shown separately from the server 100 in FIG. 1, it may be integrated with the server 100. FIG. That is, the storage device 400 may be a volatile memory or a non-volatile memory of the server 100. FIG. Further, the storage device 400 may be composed of a plurality of storage devices.
<測定装置>
 図2(a)~(d)は、本発明の一実施形態に係る測定装置の概略図である。図2(a)、(b)は、測定装置300の側面図、図2(c)は、イヤーパッド(「イヤーピース」とも称される)、図2(d)は、イヤーパッドを取り外した測定装置300の本体部30の一例である。図2に示すように、本発明の一実施形態に係る測定装置300は、イヤホン型の測定装置である。なお、本発明の測定装置は、図2に示すものに限定されず、以下に記載する各機能を実現可能であれば、実現方法は異なってよい。
<Measuring device>
2(a)-(d) are schematic diagrams of a measuring device according to an embodiment of the present invention. 2(a) and 2(b) are side views of the measuring device 300, FIG. 2(c) is an ear pad (also referred to as an “ear piece”), and FIG. 2(d) is the measuring device 300 with the ear pad removed. is an example of the body portion 30 of. As shown in FIG. 2, the measuring device 300 according to one embodiment of the present invention is an earphone type measuring device. Note that the measuring apparatus of the present invention is not limited to the one shown in FIG. 2, and the implementation method may be different as long as each function described below can be implemented.
 測定装置300は、イヤーパッド31をユーザの外耳道に、本体部30を耳介に嵌め込んでユーザ20の耳に装着する。イヤーパッド31には、電気的に絶縁された複数の電極32が設けられ、当該電極32をユーザの外耳道に接触させて、ユーザ20の皮膚に現れる電気信号(脳波)を測定する。なお、図2の例では、電極32を4つ設けた場合を示してある。イヤーパッド31の材質としては、ユーザ20の体動等によるアーティファクトの除去と、ユーザ20の外耳道への接触圧確保のため、柔軟性を備えたものであってよい。一例として、イヤーパッド31は、非導電性ゴム、非導電性シリコンを含む、非導電性エラストマーで作成される。電極32は、導電性ゴム、導電性シリコンを含む導電性エラストマーを、銀塩化銀(Ag/AgCl)でコーティングして作成され、複数の電極32のうちの1つを基準電極、1つを参照電極、残り2つを検出電極とし、参照電極とその他の電極の間の電位差から脳波が計測されてよい。すなわち、本発明の一実施形態に係る測定装置によれば、外耳道のみで脳波を測定することができる。また、本発明の一実施形態に係る測定装置は、片方の耳のみに装着されてもよいし、両方の耳に装着されて脳波を測定してもよい。なお、イヤーパッド31は、ユーザごとにカスタマイズされて作成されてもよいし、例えば大・中・小の複数タイプのサイズが用意されてもよい。 The measuring device 300 is worn on the ear of the user 20 by fitting the ear pad 31 into the user's external auditory canal and the main body 30 into the auricle. The ear pad 31 is provided with a plurality of electrically insulated electrodes 32, which are brought into contact with the user's ear canal to measure electrical signals (brain waves) appearing on the user's 20 skin. In addition, in the example of FIG. 2, the case where four electrodes 32 are provided is shown. The material of the ear pad 31 may be flexible in order to remove artifacts caused by body movements of the user 20 and to ensure contact pressure to the user's 20 external auditory canal. As an example, the ear pads 31 are made of non-conductive elastomers, including non-conductive rubber and non-conductive silicone. The electrodes 32 are made of a conductive elastomer containing conductive rubber, conductive silicon, coated with silver silver chloride (Ag/AgCl), one of the plurality of electrodes 32 being a reference electrode, see one The electroencephalogram may be measured from the potential difference between the reference electrode and the other electrodes, with the remaining two electrodes being the detection electrodes. That is, according to the measuring device according to one embodiment of the present invention, brain waves can be measured only in the external auditory canal. Also, the measuring device according to an embodiment of the present invention may be worn only on one ear, or may be worn on both ears to measure electroencephalograms. Note that the ear pads 31 may be customized for each user, or may be prepared in a plurality of sizes such as large, medium, and small.
 本体部30は、後述する通信部320、脳波処理部340、電源部350等を実現する電子回路(チップ)を内蔵し、電極32が測定した脳波を処理してユーザ端末200へ無線で送信する。また、測定装置300は、スピーカ360を備え、一般的なイヤホンとして機能してもよい。本体部30は、測定に影響を及ぼさない材質であれば特に限定されず、例えば、ABS樹脂、ポリカーボネート(PC)樹脂、ポリフタルアミド(PPA)樹脂、ポリプロピレン(PP)、ペット(PET)等の合成樹脂(プラスチック)で作成されてよい。 The main unit 30 incorporates an electronic circuit (chip) that implements a communication unit 320, an electroencephalogram processing unit 340, a power supply unit 350, etc., which will be described later, processes electroencephalograms measured by the electrodes 32, and wirelessly transmits the electroencephalograms to the user terminal 200. . Moreover, the measuring device 300 may include a speaker 360 and function as a general earphone. The main body part 30 is not particularly limited as long as it is made of a material that does not affect the measurement. It may be made of synthetic resin (plastic).
 図2(c)は、イヤーパッド31の詳細図、同図(d)は、イヤーパッド31を取り外した本体部30を示す。このように、本発明の一実施形態に係る測定装置300は、イヤーパッド31が着脱及び交換可能であってよい。本体部30のイヤホン装着部34には、電極32と導通する導通部33は設けられ、電極32と導通部33とを接触させて、脳波が本体部30内のチップに送信されてよい。イヤーパッド31は、耳への装着の繰り返しにより摩耗し得るが、着脱及び交換可能とすることで、イヤーパッド31の外耳道への密着性を担保し、脳波の測定精度を保つことができる。 FIG. 2(c) is a detailed view of the ear pad 31, and FIG. 2(d) shows the body part 30 with the ear pad 31 removed. As described above, in the measurement device 300 according to an embodiment of the present invention, the ear pad 31 may be detachable and replaceable. An earphone mounting portion 34 of the body portion 30 is provided with a conductive portion 33 that conducts with the electrode 32 , and the electrode 32 and the conductive portion 33 are brought into contact with each other to transmit brain waves to a chip in the body portion 30 . The ear pad 31 may wear out due to repeated wearing on the ear, but by making it detachable and replaceable, it is possible to secure the adhesion of the ear pad 31 to the external auditory canal and maintain the accuracy of electroencephalogram measurement.
 次に、図3を用いて、測定装置300、ユーザ端末200及びサーバ100のハードウェア構成、機能構成について説明する。 Next, the hardware configuration and functional configuration of the measuring device 300, the user terminal 200 and the server 100 will be described using FIG.
<測定装置>
 測定装置300は、制御部310、通信部(第1送信部)320、電極部(脳波取得部)330、脳波処理部340、電源部350、スピーカ360及び記憶部370を備える。制御部310は、典型的にはプロセッサであって、MPU(Micro Processing Unit)で実現される。通信部320は、例えばブルートゥースアンテナで実現され、ユーザ端末200との間でデータの送受信を行う。電極部330は、上述した電極32である。脳波処理部340は、電極部330が測定した脳波を処理する。脳波の処理には、信号の増幅、ノイズの除去、アナログ信号からデジタル信号への変換が含まれてよい。電源部350は、測定装置300に電源を供給する。記憶部370は、測定装置300が動作するうえで必要とする各種プログラムや各種データを記憶する。記憶部370は、例えば、フラッシュメモリ等を含んでよい。また、記憶部370は、制御部310に対する作業領域を提供するメモリ(RAM(Random Access Memory)、ROM(Read Only Memory)等)を含んでよい。
<Measuring device>
The measurement device 300 includes a control unit 310 , a communication unit (first transmission unit) 320 , an electrode unit (electroencephalogram acquisition unit) 330 , an electroencephalogram processing unit 340 , a power supply unit 350 , a speaker 360 and a storage unit 370 . Control unit 310 is typically a processor and is realized by an MPU (Micro Processing Unit). The communication unit 320 is implemented by, for example, a Bluetooth antenna, and transmits and receives data to and from the user terminal 200 . The electrode portion 330 is the electrode 32 described above. The electroencephalogram processing unit 340 processes electroencephalograms measured by the electrode unit 330 . Processing the brain waves may include signal amplification, noise removal, and analog to digital signal conversion. The power supply unit 350 supplies power to the measuring device 300 . The storage unit 370 stores various programs and various data necessary for the operation of the measuring device 300 . The storage unit 370 may include, for example, flash memory or the like. Storage unit 370 may also include a memory (RAM (Random Access Memory), ROM (Read Only Memory), etc.) that provides a work area for control unit 310 .
<ユーザ端末>
 次に、本発明の一実施形態に係るユーザ端末200のハードウェア構成、機能構成について説明する。
<User terminal>
Next, the hardware configuration and functional configuration of the user terminal 200 according to one embodiment of the present invention will be described.
(1)ユーザ端末のハードウェア構成
 ユーザ端末200は、制御部210、通信部220、表示部230、入出力部240、記憶部270を備える。
(1) Hardware Configuration of User Terminal User terminal 200 includes control unit 210 , communication unit 220 , display unit 230 , input/output unit 240 , and storage unit 270 .
 制御部210は、典型的にはプロセッサであって、中央処理装置(CPU)、MPU(Micro Processing Unit)、GPU(Graphics Processing Unit)等を含み、集積回路(IC(Integrated Circuit)チップ、LSI(Large Scale Integration))等に形成された論理回路(ハードウェア)や専用回路によって実現される。制御部210は、記憶部270に記憶されるプログラムを読み出し、読み出したプログラムに含まれるコード又は命令を実行することによって、各実施形態に示す機能、方法を実行する。 The control unit 210 is typically a processor, and includes a central processing unit (CPU), MPU (Micro Processing Unit), GPU (Graphics Processing Unit), etc., integrated circuit (IC (Integrated Circuit) chip, LSI ( It is realized by a logic circuit (hardware) formed in Large Scale Integration) or a dedicated circuit. The control unit 210 reads a program stored in the storage unit 270 and executes the code or instructions included in the read program, thereby executing the functions and methods described in each embodiment.
 記憶部270は、ユーザ端末200が動作するうえで必要とする各種プログラムや各種データを記憶する。例えば、記憶部270は、ユーザ端末200で脳波解析サービスを利用するためのアプリケーションプログラムを記憶する。記憶部270は、例えば、フラッシュメモリ等を含む。また、記憶部270は、制御部210に対する作業領域を提供するメモリ(RAM、ROM等)を含む。記憶部270は、さらに、ユーザ情報271を含む。ユーザ情報とは、脳波解析サービスを利用するユーザを一意に識別するための識別情報であって、任意の識別子(ID:Identifier)、ユーザ名等であってよい。 The storage unit 270 stores various programs and various data required for the user terminal 200 to operate. For example, the storage unit 270 stores an application program for using the electroencephalogram analysis service on the user terminal 200 . Storage unit 270 includes, for example, a flash memory or the like. Storage unit 270 also includes a memory (RAM, ROM, etc.) that provides a work area for control unit 210 . Storage unit 270 further includes user information 271 . User information is identification information for uniquely identifying a user who uses the electroencephalogram analysis service, and may be an arbitrary identifier (ID), user name, or the like.
 通信部220は、ネットワークアダプタ等のハードウェアや通信用ソフトウェア、及びこれらの組み合わせとして実装される。通信部220は、ネットワーク500を介して、サーバ100との間で各種データの送受信を行う。当該通信は、有線、無線のいずれで実行されてもよく、互いの通信が実行できるのであれば、どのような通信プロトコルを用いてもよい。また、通信部220は、近距離無線通信によって、測定装置300との間で各種データ(脳波データ等)の送受信を行う。また、通信部220は、制御部210からの指示に従って、各種データをサーバ100に送信する。例えば、通信部220は、サーバ100から送信された各種データを受信し、制御部210に伝達してよい。なお、通信部220が物理的に構造化された回路で構成される場合には、通信回路と表現する場合もある。 The communication unit 220 is implemented as hardware such as a network adapter, communication software, or a combination thereof. The communication unit 220 transmits and receives various data to and from the server 100 via the network 500 . The communication may be performed by wire or wirelessly, and any communication protocol may be used as long as mutual communication can be performed. The communication unit 220 also transmits and receives various data (eg, electroencephalogram data) to and from the measuring device 300 by short-range wireless communication. The communication unit 220 also transmits various data to the server 100 according to instructions from the control unit 210 . For example, the communication unit 220 may receive various data transmitted from the server 100 and transmit the data to the control unit 210 . In addition, when the communication unit 220 is composed of a physically structured circuit, it may be expressed as a communication circuit.
 表示部230は、フレームバッファに書き込まれた表示データに従って、データを表示するモニタであって、例えば、タッチパネル、タッチディスプレイ等である。 The display unit 230 is a monitor that displays data according to the display data written in the frame buffer, and is, for example, a touch panel, a touch display, or the like.
 入出力部240は、ユーザ端末200に対する各種操作を入力する入力装置、及び、ユーザ端末200で処理された処理結果を出力する出力装置を含む。入力装置は、例えば、タッチパネル、タッチディスプレイ、カメラ、マイクを含む。出力装置は、制御部210で処理された処理結果を出力し、例えば、ディスプレイ、タッチパネル、スピーカ等を含む。 The input/output unit 240 includes an input device for inputting various operations to the user terminal 200 and an output device for outputting processing results processed by the user terminal 200 . Input devices include, for example, touch panels, touch displays, cameras, and microphones. The output device outputs the processing result processed by the control unit 210, and includes, for example, a display, a touch panel, a speaker, and the like.
(2)ユーザ端末の機能構成
 ユーザ端末200は、制御部210によって実現される機能として、通信制御部211、表示制御部212、及び入出力制御部213を備える。なお、図2に記載の各機能部は必須ではなく、これ以降に説明する各実施形態において、必須でない機能部はなくともよい。また、各機能部の機能又は処理は、実現可能な範囲において、機械学習又はAI(Artificial Intelligence)により実現されてもよい。なお、ユーザ端末200が実行するとしてこれ以降に説明する各種処理の一部を、サーバ100が実行してもよい。
(2) Functional Configuration of User Terminal The user terminal 200 includes a communication control section 211 , a display control section 212 , and an input/output control section 213 as functions realized by the control section 210 . Note that each functional unit shown in FIG. 2 is not essential, and non-essential functional units may be omitted in each embodiment described below. Also, the function or processing of each functional unit may be realized by machine learning or AI (Artificial Intelligence) within a feasible range. It should be noted that the server 100 may execute part of the various processes described below assuming that the user terminal 200 executes them.
 通信制御部211は、通信部220による、ネットワーク500を介したサーバ100との間の通信を制御し、各種情報の送受信を実行させる。また、通信制御部211は、通信部220による、測定装置300との間の近距離無線通信を制御する。 The communication control unit 211 controls communication with the server 100 via the network 500 by the communication unit 220, and executes transmission and reception of various information. Also, the communication control unit 211 controls short-range wireless communication with the measuring device 300 by the communication unit 220 .
 表示制御部212は、表示部230へのデータの表示を制御する。例えば、表示制御部212は、表示部230に、測定された脳波データに関する情報を表示させる。 The display control unit 212 controls the display of data on the display unit 230. For example, the display control unit 212 causes the display unit 230 to display information about the measured electroencephalogram data.
 入出力制御部213は、入出力部240を介した外部装置との各種情報の伝達を制御する。例えば、入出力制御部213は、入力装置で受け付けたユーザ20の入力操作に応じて、各種情報を各機能部へ情報を伝達したり、タッチパネル、モニタ、スピーカ等の図示しない出力装置に対し、各機能部からの情報を伝達したりする。また、入出力制御部213は、ユーザ状態入力部214を含む。ユーザ状態入力部214は、ユーザ20から、ユーザがどのような状態にあるかの入力を受け付ける。例えば、ユーザ状態入力部214は、測定装置300からユーザの脳波を受信した場合に、ユーザ状態として、ユーザが実行していた動作に関する情報の入力を受け付ける。ユーザが実行していた動作に関する情報とは、例えば、動作対象物に関する情報(音楽名、映画名、テレビ番組、本の題名等)、運動に関する情報(ランニング、ヨガ、ウォーキング等)、場所に関する情報(公園、街、山林、海等)等であってよい。また、ユーザ状態として、ユーザの心理状態を示す情報の入力をユーザから受け付けてもよい。ユーザの心理状態を示す情報とは、ユーザの喜怒哀楽、驚き、ストレス、集中等、ユーザがどのような心理状態にあるかをユーザが主観的に判断した情報であってよい。ユーザの心理状態を示す情報は、例えば、表示部230に「楽しい」、「悲しい」、「面白い」、「怒っている」、「ストレスを感じている」、「集中している」等といった選択肢を表示させ、ユーザに選択させることで入力可能であってよい。 The input/output control unit 213 controls transmission of various types of information with external devices via the input/output unit 240 . For example, the input/output control unit 213 transmits various types of information to each functional unit according to the input operation of the user 20 received by the input device, It transmits information from each functional unit. The input/output control unit 213 also includes a user state input unit 214 . The user state input unit 214 receives input from the user 20 indicating what state the user is in. For example, when the user's electroencephalogram is received from the measuring device 300, the user state input unit 214 receives input of information regarding the action that the user was performing as the user state. The information about the action performed by the user includes, for example, information about the action object (music name, movie name, TV program, book title, etc.), exercise information (running, yoga, walking, etc.), and place information. (Park, city, forest, sea, etc.) and the like. Further, as the user state, input of information indicating the user's psychological state may be received from the user. The information indicating the user's mental state may be information obtained by subjectively judging by the user what kind of mental state the user is in, such as user's emotions, surprise, stress, concentration, or the like. Information indicating the psychological state of the user is displayed on the display unit 230, for example, as options such as "fun", "sad", "interesting", "angry", "feeling stress", and "concentrating". may be displayed and input by the user to select.
<サーバ>
 次に、本発明の一実施形態に係るサーバ100のハードウェア構成、機能構成について説明する。
<server>
Next, the hardware configuration and functional configuration of the server 100 according to one embodiment of the present invention will be described.
(1)サーバのハードウェア構成
 サーバ100は、制御部110、通信部(第2送信部)120、記憶部170を備える。
(1) Server Hardware Configuration The server 100 includes a control unit 110 , a communication unit (second transmission unit) 120 and a storage unit 170 .
 制御部110は、典型的にはプロセッサであって、中央処理装置(CPU)、MPU、GPU、マイクロプロセッサ、プロセッサコア、マルチプロセッサ、ASIC、FPGA等を含み、集積回路チップ、LSI等に形成された論理回路(ハードウェア)や専用回路によって実現されてよい。 The control unit 110 is typically a processor and includes a central processing unit (CPU), MPU, GPU, microprocessor, processor core, multiprocessor, ASIC, FPGA, etc., and is formed in an integrated circuit chip, LSI, or the like. It may be realized by a logic circuit (hardware) or a dedicated circuit.
 記憶部170は、サーバ100が動作するうえで必要とする各種プログラムや各種データを記憶する。記憶部170は、例えば、HDD、SSD、フラッシュメモリ等を含む。また、記憶部170は、制御部110に対する作業領域を提供するメモリを含む。 The storage unit 170 stores various programs and various data required for the server 100 to operate. The storage unit 170 includes, for example, an HDD, SSD, flash memory, and the like. Storage unit 170 also includes a memory that provides a work area for control unit 110 .
 通信部120は、ネットワークアダプタ等のハードウェアや通信用ソフトウェア、及びこれらの組み合わせとして実装される。通信部120は、ネットワーク500を介して、ユーザ端末200との間で各種データの送受信を行う。通信部120は、制御部110からの指示に従って、各種データを、ユーザ端末200に送信する。また、通信部120は、ユーザ端末200から送信された各種データを受信し、制御部110に伝達する。 The communication unit 120 is implemented as hardware such as a network adapter, communication software, or a combination thereof. The communication unit 120 transmits and receives various data to and from the user terminal 200 via the network 500 . The communication unit 120 transmits various data to the user terminal 200 according to instructions from the control unit 110 . Also, the communication unit 120 receives various data transmitted from the user terminal 200 and transmits the data to the control unit 110 .
(2)サーバの機能構成
 サーバ100は、制御部110によって実現される機能として、通信制御部111、脳波データ取得部112、ユーザ状態取得部113、解析部114、学習部115、及び生成部116を備える。なお、図2に記載の各機能部は必須ではなく、これ以降に説明する各実施形態において、必須でない機能部はなくともよい。また、各機能部の機能又は処理は、実現可能な範囲において、機械学習又はAIにより実現されてもよい。
(2) Functional configuration of the server The server 100 includes a communication control unit 111, an electroencephalogram data acquisition unit 112, a user state acquisition unit 113, an analysis unit 114, a learning unit 115, and a generation unit 116 as functions realized by the control unit 110. Prepare. Note that each functional unit shown in FIG. 2 is not essential, and non-essential functional units may be omitted in each embodiment described below. Also, the function or processing of each functional unit may be realized by machine learning or AI within the realizable range.
 通信制御部111は、通信部120を介したユーザ端末200との間の通信を制御する。 The communication control unit 111 controls communication with the user terminal 200 via the communication unit 120.
 脳波データ取得部112は、ユーザ端末200から送信された脳波データを取得する。なお、脳波データには、どのユーザのデータであるかを識別するためのユーザ情報が関連付けられてもよい。 The electroencephalogram data acquisition unit 112 acquires electroencephalogram data transmitted from the user terminal 200 . The electroencephalogram data may be associated with user information for identifying which user the data belongs to.
 ユーザ状態取得部113は、上述したユーザ状態を取得する。なお、ユーザ状態は、脳波データ取得部112が取得した脳波に関連付けられる。「ユーザ状態が脳波に関連付けられる」とは、あるユーザ状態と、そのユーザ状態にあったときに測定された脳波データとを対応付けることを指してよい。 The user status acquisition unit 113 acquires the user status described above. Note that the user state is associated with the electroencephalogram acquired by the electroencephalogram data acquisition unit 112 . “Associating a user state with an electroencephalogram” may refer to associating a certain user state with electroencephalogram data measured while in that user state.
 解析部114は、脳波データの解析処理を行う。解析処理とは、時系列データである脳波データをフーリエ変換して周波数データに変換したり、脳波データに含まれるアーチファクト(脳波とは異なる雑音)の除去処理等を指す。 The analysis unit 114 analyzes the electroencephalogram data. Analytical processing refers to the Fourier transform of electroencephalogram data, which is time-series data, into frequency data, the removal of artifacts (noise different from electroencephalograms) included in the electroencephalogram data, and the like.
 生成部116は、脳波データと状態データとに応じて、ユーザへ提案する行動目標を生成する。すなわち、生成部116は、解析部114によって解析された脳波の周波数データから、ユーザの行動目標を生成する。一般に、脳波は周波数によって、δ(デルタ)波(0.5~3Hz)、θ(シータ)波(4~7Hz)、α(アルファ)波(8~13Hz)、β(ベータ)波(14~30Hz)、γ(ガンマ)波(30Hz以上)に分類される。これらの脳波の発現量で、ユーザがどのような状態にあるか(熟睡中、瞑想中、創造性や洞察力を発揮している場合、楽しい事に没頭している状態、心が落ち着いている状態、リラックス状態、イライラ状態、心配、緊張、怒りや興奮状態等)を推定することができる。生成部116は、例えば、集中している場合に出されるβ波やγ波から、うとうとしている場合に出されるα波に変化するタイミングが、解析部114の解析の結果検知された場合に、行動目標を生成してよい。生成部116が生成した行動目標は、通信部120からユーザ端末200へ送信されて、ユーザ端末200の表示部230で表示されたり、ユーザ端末200から測定装置300へ送信されて、イヤホンとして機能する測定装置300から、音声によって出力されてよい。例えば、行動目標としては、ユーザ端末200からアラートを出力させたり、測定装置300から、「そろそろ集中力が落ちてきました、5分間の休憩を取りましょう」といったアナウンスを出力させるものであってよい。 The generation unit 116 generates action goals to be proposed to the user according to the electroencephalogram data and the state data. That is, the generation unit 116 generates the action target of the user from the electroencephalogram frequency data analyzed by the analysis unit 114 . In general, brain waves are δ (delta) waves (0.5-3 Hz), θ (theta) waves (4-7 Hz), α (alpha) waves (8-13 Hz), β (beta) waves (14-30 Hz), depending on the frequency. , γ (gamma) waves (30 Hz or higher). The amount of expression of these brain waves indicates what state the user is in (deep sleep, meditation, creativity and insight, joyful immersion, calmness). , relaxed state, frustrated state, worry, tension, anger, excitement, etc.). For example, the generation unit 116 detects, as a result of the analysis by the analysis unit 114, the timing of changing from β waves and γ waves emitted when one is concentrating to α waves emitted when one is drowsy, Action goals may be generated. The action goal generated by the generation unit 116 is transmitted from the communication unit 120 to the user terminal 200 and displayed on the display unit 230 of the user terminal 200, or transmitted from the user terminal 200 to the measurement device 300 to function as an earphone. It may be output by sound from the measuring device 300 . For example, the action goal is to output an alert from the user terminal 200 or output an announcement from the measuring device 300 such as "It's about time to lose concentration. Let's take a break for 5 minutes." good.
 学習部115は、脳波データと、脳波データを測定した際の状態データとの複数の組み合わせを学習する。例えば、学習部115は、脳波の周波数データ(α波、β波等)が測定されたときのユーザの状態データを、ユーザごとに記憶装置400に記憶してよい。図3に、脳波データと状態データとをユーザごとに関連付けたテーブルTB10の一例を示す。図3の例では、ユーザAは、音楽Aや音楽Bを聴いたり、映画Cを視聴したりした場合に、α波が測定されている。また、ユーザAは、音楽Eを聴く、読書Dを読む、ウォーキング等の場合に、β波が測定されている。本発明の一実施形態によれば、ユーザはイヤホン型の測定装置300を装着したまま日常生活を送ることができるため、日常生活において遷移する脳波を取得することができる。このとき、ユーザの状態に関する状態データも合わせて取得されるため、ユーザがどのような状態(行動、動作、注目している対象物等)のときにどのような脳波(α波、β波等)が測定されるかとのデータを、ユーザごとに蓄積することができる。 The learning unit 115 learns a plurality of combinations of electroencephalogram data and state data when the electroencephalogram data was measured. For example, the learning unit 115 may store, in the storage device 400 for each user, state data of the user when brain wave frequency data (α waves, β waves, etc.) was measured. FIG. 3 shows an example of a table TB10 in which electroencephalogram data and state data are associated with each user. In the example of FIG. 3, alpha waves are measured when user A listens to music A or music B or watches movie C. FIG. In addition, β waves are measured when user A listens to music E, reads book D, walks, and the like. According to one embodiment of the present invention, the user can lead a daily life while wearing the earphone-type measuring device 300, so that it is possible to acquire electroencephalograms that transition in the daily life. At this time, since state data related to the user's state is also acquired, what kind of brain waves (α waves, β waves, etc.) are obtained when the user is in what state (behavior, movement, target object, etc.) ) is measured can be accumulated for each user.
 また、学習部115による学習は以下のように行われてもよい。例えば、集中力の有無の判定に関しては、被験者としてのユーザに、所定時間(例えば、30秒間)の集中力を要する単純なタスクの実行と、所定時間(例えば、30秒間)の何も行わないリラックス状態との繰り返し中に、脳波データを取得する。集中力を要する単純なタスクとしては、既知のゲームアプリや、計算等であってよい。この際、集中力を要する作業時の脳波データを「1」、リラックス時の脳波データを「0」とラベル付けし、脳波の状態を説明変数、集中力の有無のラベル0,1を目的変数として、教師ありの機械学習を行うことができる。上記の検証を数人から数十人で10分程度行うことで、脳波のピークからピークまでをひとつの波と数えたときに、数十万の機械学習に十分量の脳波データを集めることができる。さらに、ユーザの同意のもと、日常生活で実行する所定の動作(アプリの実行、音楽の視聴、運動等)の際に、引き続き学習データの取得と機械学習とを継続させてもよい。 Also, learning by the learning unit 115 may be performed as follows. For example, regarding the judgment of the presence or absence of concentration, the user as a subject performs a simple task that requires concentration for a predetermined time (for example, 30 seconds) and does nothing for a predetermined time (for example, 30 seconds). Acquire electroencephalogram data during repetition with the relaxed state. A simple task that requires concentration may be a known game application, calculation, or the like. At this time, the electroencephalogram data during work that requires concentration is labeled as "1", the electroencephalogram data during relaxation is labeled as "0", the state of the electroencephalogram is labeled as an explanatory variable, and the labels 0 and 1 as the presence or absence of concentration are labeled as objective variables. , supervised machine learning can be performed. By conducting the above verification with several people to several dozen people for about 10 minutes, when counting the peak to peak of the brain wave as one wave, it is possible to collect a sufficient amount of brain wave data for hundreds of thousands of machine learning. can. Furthermore, with the consent of the user, acquisition of learning data and machine learning may continue during predetermined actions (executing an application, listening to music, exercising, etc.) performed in daily life.
 生成部116は、学習部115による学習結果に基づいて、行動目標を生成してよい。例えば、ユーザAが緊張したりストレスが高いことを示すγ波が測定された場合に、生成部116は、ユーザAに関するテーブルTB10に基づいて、リラックスした状態とする(α波を出す)音楽Aを測定装置300から出力させてもよい。なお、行動目標は、必ずしもユーザの過去の行動と同じものでなくてもよい。例えば、学習部115による学習によって、ユーザがα波を出しやすい音楽や映像のジャンル、動作のカテゴリが推定され、「ユーザAは近現代クラシックを聴くとα波を出す」、「ユーザBは70年代ロックを聴くとβ波を出す」といったような設定がなされてもよい。 The generation unit 116 may generate action goals based on the learning result of the learning unit 115 . For example, when gamma waves indicating that user A is tense or highly stressed are measured, the generation unit 116 creates a relaxed state based on the table TB10 for user A (generates alpha waves). may be output from the measuring device 300 . Note that the action goal does not necessarily have to be the same as the user's past action. For example, through learning by the learning unit 115, genres of music and videos, and categories of motions that the user is likely to produce α waves are estimated, such as “user A emits α waves when listening to modern classical music”, “user B emits α waves at 70 A setting such as β wave is emitted when listening to age rock may be made.
 なお、行動目標としては、休息または集中を促すメッセージ、音声、画像及び動画像の少なくともいずれかであってよい。また、行動目標の出力先は、ユーザ端末200の表示部230や、測定装置300の他、図示しないスマートスピーカ等であってよい。また、ユーザ端末200がウェアラブル端末である場合、出力先は、スマートグラスやスマートウォッチのディスプレイやスピーカであってよい。 The action goal may be at least one of a message, voice, image, and moving image that encourages rest or concentration. Also, the output destination of the action target may be the display unit 230 of the user terminal 200, the measuring device 300, or a smart speaker (not shown). Also, when the user terminal 200 is a wearable terminal, the output destination may be the display or speaker of smart glasses or a smart watch.
 なお、解析部114によって解析された脳波データに関する詳細情報が、時間軸データ、周波数データ、状態データ等とともに所定の表示部に表示されてもよい。例えば、詳細情報として、ユーザの脳波の時間軸データと、ある周波数データ(α波、β波等)が出現したときのユーザの状態等が一覧表示されてよい。詳細情報は、例えば、API(Application Program Interface)によって提供されてもよい。すなわち、本発明の一実施形態による情報処理システム600は、脳波データに関するプラットフォームを提供することができる。 Detailed information about the electroencephalogram data analyzed by the analysis unit 114 may be displayed on a predetermined display unit together with time axis data, frequency data, state data, and the like. For example, as the detailed information, time-axis data of the user's electroencephalogram and the state of the user when certain frequency data (α waves, β waves, etc.) appear may be listed. Detailed information may be provided by an API (Application Program Interface), for example. That is, the information processing system 600 according to an embodiment of the present invention can provide a platform for electroencephalogram data.
<他の実施形態>
 本発明の他の実施形態に係る情報処理システムによれば、記憶装置400は、スキルに関する所定の条件を満たす複数のユーザが、それぞれ、所定の行動をとった際の模範脳波データを記憶する。「スキルに関する所定の条件」とは、ユーザの学力、身体能力、芸術的能力といった、何らかの能力に関する所定の条件を指し、例えば、「スキルに関する所定の条件を満たすユーザ」とは、「学力テストで所定の閾値以上の点数を取得」、「料理人」、「音楽家」、「画家」、「小説家」、「水泳選手」等であってよい。本発明の一実施形態によれば、これらスキルに関する所定の条件を満たす複数のユーザが所定の行動をとった場合の脳波を、模範脳波データとして蓄積してよい。なお、所定の行動は、スキルに関連する行動であって、「音楽家」の例であれば楽器の演奏、「料理人」の例であれば料理、「学力テストで所定の閾値以上の点数を取得」したユーザであれば、勉強やテストの受講等であってよい。
<Other embodiments>
According to the information processing system according to another embodiment of the present invention, the storage device 400 stores model electroencephalogram data obtained when a plurality of users who satisfy a predetermined skill-related condition have each taken a predetermined action. A "predetermined condition regarding skill" refers to a predetermined condition regarding some ability such as user's academic ability, physical ability, or artistic ability. Acquisition of a score equal to or higher than a predetermined threshold", "cook", "musician", "painter", "novelist", "swimmer", and the like. According to one embodiment of the present invention, electroencephalograms obtained when a plurality of users who satisfy a predetermined condition regarding these skills take a predetermined action may be accumulated as model electroencephalogram data. The predetermined actions are actions related to skills, such as playing a musical instrument in the example of a "musician", cooking in the example of a "cook", and scoring above a predetermined threshold in an academic test If it is a user who "acquired", it may be studying, taking a test, or the like.
 生成部116は、模範脳波データと、ユーザの脳波データとの比較に基づき、ユーザへ提案する行動目標を生成する。生成部116は、ユーザの脳波データと模範脳波データとの差異に基づいて、ユーザの脳波をスコアリングし、スコアに基づいて、行動目標としてのコンテンツ(BGM音楽、メッセージ等)を生成してよい。なお、スコアリングに関し、例えば、集中状態で現れる模範脳波データのβ波やγ波の持続時間を測定し、各行動(料理、学力テスト、楽器の演奏)における持続時間が最も長いデータを100とした時、個々のユーザーのβ波やγ波の持続時間を割合で計算してスコアリングしてよい。 The generation unit 116 generates an action goal to be proposed to the user based on the comparison between the model electroencephalogram data and the user's electroencephalogram data. The generation unit 116 may score the user's brain wave based on the difference between the user's brain wave data and the model brain wave data, and generate content (BGM music, message, etc.) as an action target based on the score. . Regarding scoring, for example, the duration of β waves and γ waves of model electroencephalogram data that appears in a concentrated state is measured, and the data with the longest duration in each action (cooking, academic ability test, playing a musical instrument) is set to 100. Then, the individual user's β-wave or γ-wave duration may be calculated as a percentage and scored.
<サーバの制御フローチャート>
 サーバ100の制御方法について、図5のフローチャートを用いて説明する。まず、サーバ100は、ユーザの耳に装着された測定装置300が取得しユーザ端末200へ送信した脳波データを、ユーザ端末200から受信する(ステップS11)。サーバ100は、さらに、脳波データを測定した際のユーザの状態を表す状態データを取得する(ステップS12)。また、脳波データと状態データとに応じて、ユーザへ提案する行動目標を生成する(ステップS13)。次に、サーバ100は、行動目標を所定の出力部へ送信する(ステップS14)。
<Server control flow chart>
A method of controlling the server 100 will be described with reference to the flowchart of FIG. First, the server 100 receives, from the user terminal 200, electroencephalogram data acquired by the measuring device 300 worn on the user's ear and transmitted to the user terminal 200 (step S11). The server 100 further acquires state data representing the state of the user when the electroencephalogram data was measured (step S12). Also, an action goal to be proposed to the user is generated according to the electroencephalogram data and the state data (step S13). Next, the server 100 transmits the action target to a predetermined output unit (step S14).
 本発明を諸図面や実施例に基づき説明してきたが、当業者であれば本開示に基づき種々の変形や修正を行うことが容易であることに注意されたい。従って、これらの変形や修正は本発明の範囲に含まれることに留意されたい。例えば、各構成部、各ステップ等に含まれる機能等は論理的に矛盾しないように再配置可能であり、複数の構成部やステップ等を1つに組み合わせたり、或いは分割したりすることが可能である。また、上記実施の形態に示す構成を適宜組み合わせることとしてもよい。なお、上述でサーバ100が行うとして説明した処理は、ユーザ端末200が実行してもよい。 Although the present invention has been described based on the drawings and examples, it should be noted that those skilled in the art can easily make various modifications and modifications based on the present disclosure. Therefore, it should be noted that these variations and modifications are included in the scope of the present invention. For example, the functions included in each component, each step, etc. can be rearranged so as not to be logically inconsistent, and multiple components, steps, etc. can be combined into one or divided. is. Further, the configurations shown in the above embodiments may be combined as appropriate. Note that the user terminal 200 may execute the processing described above as being executed by the server 100 .
 また、測定装置300は、図示したものに限定されない。上述では、基準電極、参照電極を含む複数の電極を備えるイヤーパッドを、耳内(外耳道)に挿入する測定装置について説明した。しかしながら、測定装置としては、基準電極、参照電極を、耳介又は乳様突起に装着させるものであってよい。なお、電極は、イヤーパッドの表面に対し銀塩化銀(Ag/AgCl)をコーティングするか、イヤーパッドの素材に対し銀塩化銀(Ag/AgCl)を混ぜて成形することで作成してよい。また、電極の実現方法としては上述した表面電極に限定されず、例えば針電極等、生体情報を取得可能な電極であればどのようなものであってもよい Also, the measuring device 300 is not limited to the illustrated one. In the above description, a measuring device is described in which an ear pad having a plurality of electrodes including a reference electrode and a reference electrode is inserted into the ear (external auditory canal). However, the measuring device may be one in which the reference electrode and the reference electrode are attached to the auricle or the mastoid process. The electrodes may be formed by coating the surface of the ear pad with silver-silver chloride (Ag/AgCl), or by mixing silver-silver chloride (Ag/AgCl) with the material of the ear pad and molding. In addition, the method of realizing the electrodes is not limited to the surface electrodes described above, and any electrodes that can acquire biological information, such as needle electrodes, may be used.
 例えば、本発明の一実施形態に係る脳波解析サービスが提供可能なサービスを以下に記載する。
・ユーザの脳波から、ユーザが眠くなったと判定された場合に、「そろそろ寝て、明日早く起きた方が良いですよ」といったメッセージが、ユーザ端末から通知される
・ユーザが起床した際に測定された脳波から、ユーザの睡眠の質が計量され、ユーザ端末から通知される
・工場や建築現場において、作業員の集中力の低下を脳波から検知した場合、音声などで作業員に警告され、作業員の脳波に改善が見られない場合、管理人に通知したり、作業(例えば、機械)を停止させる(長距離運転者にも適用できる)
For example, services that can be provided by the electroencephalogram analysis service according to one embodiment of the present invention are described below.
・When it is determined from the user's brain waves that the user has become sleepy, a message such as "You should go to bed soon and wake up early tomorrow" will be sent from the user terminal. The quality of the user's sleep is measured from the received brain waves and notified from the user terminal. ・At factories and construction sites, if a decline in the concentration of workers is detected from the brain waves, the worker will be warned by voice etc. If there is no improvement in the worker's EEG, notify the manager or stop the work (e.g., machine) (applicable to long-distance drivers)
 本開示の各実施形態のプログラムは、情報処理装置に読み取り可能な記憶媒体に記憶された状態で提供されてもよい。記憶媒体は、「一時的でない有形の媒体」に、プログラムを記憶可能である。プログラムは、例えば、ソフトウェアプログラムや制御プログラムを含む。サーバ100の各機能部をソフトウェアにより実現する場合、サーバ100は、プロセッサがメモリ上にロードされたプログラムを実行することにより、通信制御部111、脳波データ取得部112、ユーザ状態取得部113、解析部114、学習部115及び生成部116として機能する。 The program of each embodiment of the present disclosure may be provided in a state stored in a storage medium readable by the information processing device. The storage medium can store the program in a "non-temporary tangible medium". Programs include, for example, software programs and control programs. When each functional unit of the server 100 is realized by software, the server 100 executes a program loaded on the memory by the processor, thereby causing the communication control unit 111, the electroencephalogram data acquisition unit 112, the user state acquisition unit 113, the analysis It functions as a unit 114 , a learning unit 115 and a generation unit 116 .
 記憶媒体は適切な場合、1つ又は複数の半導体ベースの、又は他の集積回路(IC)(例えば、フィールド・プログラマブル・ゲート・アレイ(FPGA)、特定用途向けIC(ASIC)等)、ハード・ディスク・ドライブ(HDD)、ハイブリッド・ハード・ドライブ(HHD)、光ディスク、光ディスクドライブ(ODD)、光磁気ディスク、光磁気ドライブ、フロッピィ・ディスケット、フロッピィ・ディスク・ドライブ(FDD)、磁気テープ、固体ドライブ(SSD)、RAMドライブ、セキュア・デジタル・カードもしくはドライブ、任意の他の適切な記憶媒体、又はこれらの2つ以上の適切な組合せを含むことができる。記憶媒体は、適切な場合、揮発性、不揮発性、又は揮発性と不揮発性の組合せでよい。 The storage medium may, where appropriate, be one or more semiconductor-based or other integrated circuits (ICs) (e.g., field programmable gate arrays (FPGAs), application specific ICs (ASICs), etc.); Disk drive (HDD), hybrid hard drive (HHD), optical disk, optical disk drive (ODD), magneto-optical disk, magneto-optical drive, floppy diskette, floppy disk drive (FDD), magnetic tape, solid state drive (SSD), RAM drive, secure digital card or drive, any other suitable storage medium, or any suitable combination of two or more thereof. Storage media may, where appropriate, be volatile, nonvolatile, or a combination of volatile and nonvolatile.
 また、本開示のプログラムは、当該プログラムを伝送可能な任意の伝送媒体(通信ネットワークや放送波等)を介して、サーバ100に提供されてもよい。 Also, the program of the present disclosure may be provided to the server 100 via any transmission medium (communication network, broadcast waves, etc.) capable of transmitting the program.
 また、本開示の各実施形態は、プログラムが電子的な伝送によって具現化された、搬送波に埋め込まれたデータ信号の形態でも実現され得る。なお、本開示のプログラムは、例えば、JavaScript(登録商標)、Python等のスクリプト言語、C言語、Go言語、Swift,Koltin、Java(登録商標)等を用いて実装されてよい。 Each embodiment of the present disclosure can also be implemented in the form of a data signal embedded in a carrier wave in which a program is embodied by electronic transmission. Note that the program of the present disclosure may be implemented using, for example, script languages such as JavaScript (registered trademark) and Python, C language, Go language, Swift, Koltin, Java (registered trademark), and the like.
 100 サーバ(情報処理装置)
 110 制御部
 111 通信制御部
 112 脳波データ取得部
 113 状態データ取得部
 114 解析部
 115 学習部
 116 生成部
 120 通信部
 170 記憶装置
 200 ユーザ端末(端末装置)
 210 制御部
 211 通信制御部
 212 表示制御部
 213 入出力制御部
 214 脳波データ入力部
 220 通信部
 230 表示部
 240 入出力部
 270 記憶部
 300 測定装置
 310 制御部
 320 通信部
 330 電極部
 340 脳波処理部
 350 電源部
 360 スピーカ
 370 記憶部
 400 記憶装置
 500 ネットワーク
 600 情報処理システム
100 server (information processing device)
110 control unit 111 communication control unit 112 electroencephalogram data acquisition unit 113 state data acquisition unit 114 analysis unit 115 learning unit 116 generation unit 120 communication unit 170 storage device 200 user terminal (terminal device)
210 control unit 211 communication control unit 212 display control unit 213 input/output control unit 214 electroencephalogram data input unit 220 communication unit 230 display unit 240 input/output unit 270 storage unit 300 measurement device 310 control unit 320 communication unit 330 electrode unit 340 electroencephalogram processing unit 350 power supply unit 360 speaker 370 storage unit 400 storage device 500 network 600 information processing system

Claims (8)

  1.  ユーザの脳波データを測定する測定装置と無線通信するユーザ端末と、前記脳波データを解析する情報処理装置とを少なくとも含む情報処理システムであって、
     前記測定装置は、
      前記ユーザの耳に装着されて前記脳波データを取得する脳波取得部と、
      前記脳波データを前記ユーザ端末へ無線送信する第1送信部と、
    を備え、
     前記情報処理装置は、
      前記測定装置が取得した前記ユーザの脳波データを取得する脳波データ取得部と、
      前記脳波データを測定した際の前記ユーザの状態を表す状態データを取得するユーザ状態取得部と、
      前記脳波データと前記状態データとに応じて、前記ユーザへ提案する行動目標を生成する生成部と、
      前記行動目標を所定の出力部へ送信する第2送信部と、
    を備える、情報処理システム。
    An information processing system including at least a user terminal that wirelessly communicates with a measuring device that measures electroencephalogram data of a user, and an information processing device that analyzes the electroencephalogram data,
    The measuring device is
    an electroencephalogram acquisition unit that is worn on the ear of the user and acquires the electroencephalogram data;
    a first transmission unit that wirelessly transmits the electroencephalogram data to the user terminal;
    with
    The information processing device is
    an electroencephalogram data acquisition unit that acquires the user's electroencephalogram data acquired by the measurement device;
    a user state acquisition unit that acquires state data representing the state of the user when the electroencephalogram data was measured;
    a generation unit that generates an action goal to be proposed to the user according to the electroencephalogram data and the state data;
    a second transmission unit that transmits the action goal to a predetermined output unit;
    An information processing system comprising:
  2.  前記情報処理装置は、
      前記脳波データと、当該脳波データを測定した際の前記状態データとの複数の組み合わせを学習する学習部をさらに備え、
      前記生成部は、前記学習部による学習結果に基づいて、前記行動目標を生成する、
    請求項1に記載の情報処理システム。
    The information processing device is
    further comprising a learning unit that learns a plurality of combinations of the electroencephalogram data and the state data when the electroencephalogram data was measured;
    The generation unit generates the action goal based on the learning result of the learning unit.
    The information processing system according to claim 1.
  3.  前記生成部は、前記行動目標として、休息または集中を促すメッセージ、音声、画像及び動画像の少なくともいずれかを生成する、
    請求項1または2に記載の情報処理システム。
    The generating unit generates at least one of a message, voice, image, and moving image encouraging rest or concentration as the action goal.
    The information processing system according to claim 1 or 2.
  4.  前記情報処理システムは、
      前記測定装置によって測定された前記脳波データを表示させる表示部をさらに備える、
    請求項1~3のいずれか一項に記載の情報処理システム。
    The information processing system is
    Further comprising a display unit for displaying the electroencephalogram data measured by the measuring device,
    The information processing system according to any one of claims 1 to 3.
  5.  前記情報処理システムは、
      スキルに関する所定の条件を満たす複数の模範ユーザが、それぞれ、所定の行動をとった際の模範脳波データを記憶する記憶部をさらに備え、
      前記生成部は、前記模範脳波データと、前記ユーザの脳波データとの比較に基づき、前記ユーザへ提案する前記行動目標を生成する、
    請求項1~4のいずれか一項に記載の情報処理システム。
    The information processing system is
    further comprising a storage unit that stores model electroencephalogram data obtained when a plurality of model users who satisfy a predetermined skill-related condition have each taken a predetermined action;
    The generation unit generates the action goal to be proposed to the user based on a comparison between the model electroencephalogram data and the electroencephalogram data of the user.
    The information processing system according to any one of claims 1 to 4.
  6.  ユーザの脳波データを測定する測定装置と無線通信するユーザ端末と、前記脳波データを解析する情報処理装置とを少なくとも含む情報処理システムの制御方法であって、
     前記測定装置に、
      前記ユーザの外耳に装着されて前記脳波データを取得するステップと、
      前記脳波データを前記ユーザ端末へ無線送信するステップと、
    を実行させ、
     前記情報処理装置に、
      前記測定装置が取得した前記ユーザの脳波データを取得するステップと、
      前記脳波データを測定した際の前記ユーザの状態を表す状態データを取得するステップと、
      前記脳波データと前記状態データとに応じて、前記ユーザへ提案する行動目標を生成するステップと、
      前記行動目標を所定の出力部へ送信するステップと、
    を実行させる、情報処理システムの制御方法。
    A control method for an information processing system including at least a user terminal that wirelessly communicates with a measuring device that measures electroencephalogram data of a user, and an information processing device that analyzes the electroencephalogram data,
    to the measuring device,
    wearing the user's outer ear to acquire the electroencephalogram data;
    wirelessly transmitting the electroencephalogram data to the user terminal;
    and
    In the information processing device,
    a step of acquiring electroencephalogram data of the user acquired by the measuring device;
    obtaining state data representing the state of the user when the electroencephalogram data was measured;
    generating an action goal to be proposed to the user according to the electroencephalogram data and the state data;
    transmitting the action goal to a predetermined output;
    An information processing system control method for executing
  7.  前記脳波取得部として、前記ユーザの外耳に挿入されるイヤーパッドに、それぞれ電気的に絶縁するように設けられた少なくとも3以上の電極部を備える、
    請求項1~5のいずれか一項に記載の情報処理システムにおける測定装置。
    As the electroencephalogram acquisition unit, an ear pad inserted into the user's outer ear is provided with at least three or more electrode units that are electrically insulated from each other,
    A measuring device in an information processing system according to any one of claims 1 to 5.
  8.  前記測定装置は、
     前記イヤーパッドと係合し、前記それぞれの電極部と導通する導電部が設けられた本体部をさらに備え、
     前記イヤーパッドは、前記本体部から着脱可能である、
    請求項7に記載の測定装置。
    The measuring device is
    further comprising a body portion provided with a conductive portion that engages with the ear pad and conducts with each of the electrode portions;
    The ear pad is detachable from the main body,
    The measuring device according to claim 7.
PCT/JP2022/006673 2022-02-18 2022-02-18 Information processing system, information processing system control method, and measurement device WO2023157237A1 (en)

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2012524636A (en) * 2009-04-24 2012-10-18 アドバンスド ブレイン モニタリング,インコーポレイテッド Adaptive behavior trainer
JP2014215963A (en) * 2013-04-30 2014-11-17 株式会社Nttドコモ Earphone and eyeball movement estimation device
US20180235540A1 (en) * 2017-02-21 2018-08-23 Bose Corporation Collecting biologically-relevant information using an earpiece
JP2018158089A (en) * 2017-03-23 2018-10-11 富士ゼロックス株式会社 Brain wave measuring device and brain wave measuring system
WO2021230100A1 (en) * 2020-05-13 2021-11-18 ソニーグループ株式会社 Information processing device and method, and program

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2012524636A (en) * 2009-04-24 2012-10-18 アドバンスド ブレイン モニタリング,インコーポレイテッド Adaptive behavior trainer
JP2014215963A (en) * 2013-04-30 2014-11-17 株式会社Nttドコモ Earphone and eyeball movement estimation device
US20180235540A1 (en) * 2017-02-21 2018-08-23 Bose Corporation Collecting biologically-relevant information using an earpiece
JP2018158089A (en) * 2017-03-23 2018-10-11 富士ゼロックス株式会社 Brain wave measuring device and brain wave measuring system
WO2021230100A1 (en) * 2020-05-13 2021-11-18 ソニーグループ株式会社 Information processing device and method, and program

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