WO2023157237A1 - Système de traitement d'informations, procédé de commande de système de traitement d'informations et dispositif de mesure - Google Patents

Système de traitement d'informations, procédé de commande de système de traitement d'informations et dispositif de mesure 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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English (en)
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 JP2022525271A priority Critical patent/JPWO2023157237A1/ja
Priority to PCT/JP2022/006673 priority patent/WO2023157237A1/fr
Publication of WO2023157237A1 publication Critical patent/WO2023157237A1/fr

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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/25—Bioelectric electrodes therefor
    • A61B5/251—Means for maintaining electrode contact with the body
    • A61B5/256—Wearable electrodes, e.g. having straps or bands
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A61B5/369—Electroencephalography [EEG]
    • A61B5/372—Analysis 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

La présente invention concerne un système de traitement d'informations comprenant au moins un terminal d'utilisateur qui communique sans fil avec un dispositif de mesure pour mesurer les données d'ondes cérébrales d'un utilisateur, et un dispositif de traitement d'informations qui analyse les données d'ondes cérébrales. Le dispositif de mesure est équipé d'une unité d'acquisition d'ondes cérébrales qui est portée à l'oreille de l'utilisateur et qui acquiert des données sur les ondes cérébrales, et d'une première unité de transmission qui transmet sans fil les données sur les ondes cérébrales au terminal utilisateur. Le dispositif de traitement d'informations comprend une unité de réception qui reçoit, en provenance du terminal utilisateur, les données d'ondes cérébrales de l'utilisateur acquises par le dispositif de mesure, une unité d'acquisition d'état d'utilisateur qui acquiert des données d'état indiquant un état de l'utilisateur lorsque les données d'ondes cérébrales ont été mesurées, une unité de génération qui, en fonction des données d'ondes cérébrales et des données d'état, génère un objectif d'action à proposer à l'utilisateur, et une seconde unité de transmission qui transmet l'objectif d'action à une unité de sortie prescrite.
PCT/JP2022/006673 2022-02-18 2022-02-18 Système de traitement d'informations, procédé de commande de système de traitement d'informations et dispositif de mesure WO2023157237A1 (fr)

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2012524636A (ja) * 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 適応的行動トレーナー
JP2014215963A (ja) * 2013-04-30 2014-11-17 株式会社Ｎｔｔドコモ イヤホン及び眼球運動推定装置
US20180235540A1 (en) * 2017-02-21 2018-08-23 Bose Corporation Collecting biologically-relevant information using an earpiece
JP2018158089A (ja) * 2017-03-23 2018-10-11 富士ゼロックス株式会社 脳波測定装置及び脳波測定システム
WO2021230100A1 (fr) * 2020-05-13 2021-11-18 ソニーグループ株式会社 Dispositif et procédé de traitement d'informations, et programme

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2012524636A (ja) * 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 適応的行動トレーナー
JP2014215963A (ja) * 2013-04-30 2014-11-17 株式会社Ｎｔｔドコモ イヤホン及び眼球運動推定装置
US20180235540A1 (en) * 2017-02-21 2018-08-23 Bose Corporation Collecting biologically-relevant information using an earpiece
JP2018158089A (ja) * 2017-03-23 2018-10-11 富士ゼロックス株式会社 脳波測定装置及び脳波測定システム
WO2021230100A1 (fr) * 2020-05-13 2021-11-18 ソニーグループ株式会社 Dispositif et procédé de traitement d'informations, et programme

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