WO2018168176A1 - Appareil de traitement d'informations, procédé de traitement d'informations et programme - Google Patents

Appareil de traitement d'informations, procédé de traitement d'informations et programme Download PDF

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Publication number
WO2018168176A1
WO2018168176A1 PCT/JP2018/000697 JP2018000697W WO2018168176A1 WO 2018168176 A1 WO2018168176 A1 WO 2018168176A1 JP 2018000697 W JP2018000697 W JP 2018000697W WO 2018168176 A1 WO2018168176 A1 WO 2018168176A1
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WIPO (PCT)
Prior art keywords
information
excitement
processor
user
information processing
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PCT/JP2018/000697
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English (en)
Japanese (ja)
Inventor
皓介 井上
就介 江下
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オムロン株式会社
オムロンヘルスケア株式会社
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Application filed by オムロン株式会社, オムロンヘルスケア株式会社 filed Critical オムロン株式会社
Publication of WO2018168176A1 publication Critical patent/WO2018168176A1/fr

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    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/021Measuring pressure in heart or blood vessels
    • A61B5/022Measuring pressure in heart or blood vessels by applying pressure to close blood vessels, e.g. against the skin; Ophthalmodynamometers
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/16Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/22Social work or social welfare, e.g. community support activities or counselling services

Definitions

  • the present invention relates to an information processing apparatus, an information processing method, and a program for determining the degree of excitement of a user.
  • a provider of content such as a movie or a game may want to investigate the excitement level of a user who enjoys the content.
  • the degree of excitement caused to a user by content such as a movie or a game is generally investigated through a questionnaire to the user (Japanese Patent Laid-Open No. 2016-007414).
  • the present invention provides an information processing apparatus, an information processing method, and a program that can determine a user's excitement level based on an objective index.
  • an information processing apparatus includes a biological information acquisition unit that acquires biological information of a user who enjoys content from a detection device that measures biological information including at least blood pressure, and the biological information A determination unit that determines the degree of excitement of the user based on the biological information acquired by the information acquisition unit.
  • the biological information acquisition unit acquires biological information measured by the detection device for each beat of the user's heartbeat.
  • the information processing apparatus further includes an evaluation unit that determines an evaluation value of the content based on the degree of excitement of the user determined by the determination unit.
  • the information processing apparatus further includes an environment information acquisition unit that acquires environment information indicating an environmental state from the detection device, and the determination unit is configured to acquire the environment acquired by the environment information acquisition unit.
  • the degree of excitement of the user is determined in consideration of information.
  • the information processing apparatus further includes an acceleration information acquisition unit that acquires acceleration information indicating acceleration generated in a part of the user's body from the detection device, and the determination unit includes the acceleration The degree of excitement of the user is determined in consideration of the acceleration information acquired by the information acquisition unit.
  • the biometric information acquisition unit acquires biometric information of a plurality of users, and the determination unit is based on the biometric information of the plurality of users acquired by the biometric information acquisition unit.
  • the degree of excitement of each of the plurality of users is determined, and the evaluation unit determines an evaluation value of the content based on the determined degrees of excitement of the plurality of users.
  • the content according to the seventh aspect is moving image content
  • the information processing apparatus further includes a scene specifying unit that specifies a scene including a period in which the excitement level exceeds a predetermined threshold based on the excitement level of the user. Prepare.
  • the evaluation unit determines evaluation values of a plurality of contents, and the information processing apparatus further includes a ranking generation unit that generates a ranking based on the evaluation values of the plurality of contents.
  • the degree of user excitement caused by the content is determined based on the biological information including at least the blood pressure of the user.
  • an accurate excitement level can be determined based on an objective index. Further, it is possible to investigate the degree of excitement of the user without taking time and effort of the user and the investigator, such as conducting or counting the questionnaire.
  • the biological information is acquired for each beat in the information processing apparatus.
  • the information processing apparatus can continuously determine the degree of excitement of the user who enjoys the content.
  • the content evaluation value is determined based on the determination result of the excitement level in the information processing apparatus.
  • the evaluation value of the content can be obtained as one value indicating the excitement level of the content according to the excitement level generated by the user.
  • the degree of excitement of the user is determined after the environmental information is taken into account in the information processing apparatus. As a result, it is possible to more accurately determine the degree of excitement in consideration of changes in biological information caused by the environment.
  • the degree of excitement is determined after taking into account the acceleration generated in a part of the user's body. Therefore, the degree of excitement can be determined more accurately in consideration of the movement of the user's body.
  • the degree of excitement of a plurality of users is determined in the information processing apparatus, and the evaluation value of the content is determined based on each determination result. As a result, variation in the biological reaction of each user is neutralized, and a more accurate content evaluation value can be determined.
  • a scene with high excitement is specified in the information processing apparatus.
  • a scene with a high degree of excitement can be presented to the user.
  • content ranking is generated in the information processing apparatus. As a result, it is possible to present the content that causes a higher degree of excitement to the user by ranking.
  • FIG. 1 is a diagram schematically illustrating a configuration example of a determination system.
  • FIG. 2 is a block diagram illustrating a configuration example of the information processing apparatus.
  • FIG. 3 is a block diagram illustrating a configuration example of the detection apparatus.
  • FIG. 4 is a block diagram illustrating a configuration example of functions of the information processing apparatus.
  • FIG. 5 is a flowchart illustrating an operation example of the information processing apparatus.
  • FIG. 6 is an example of a graph showing the degree of excitement generated from the moving image content.
  • FIG. 7 is an example of ranking based on the evaluation value of the moving image content.
  • the determination system of one embodiment determines the degree of excitement caused to the user by the content based on the measurement value of the biological information measured from the user.
  • the determination system determines the evaluation value of the content from the degree of excitement generated in the user.
  • content whose evaluation value is determined by the determination system includes video content that can be viewed on television broadcasts or movie theaters, sound content such as music, game content such as a video game or a mobile game, and a book such as a comic or novel ( Including electronic books), or attraction content such as a roller coaster, a haunted house, or a bungee jump.
  • the content configuration is not limited to a specific configuration.
  • FIG. 1 is a diagram schematically illustrating a configuration example of a determination system 1 including an information processing apparatus according to an embodiment of the present invention.
  • the determination system 1 includes an information processing device 10, a detection device 20, and a content providing device 40.
  • the determination system 1 may include a configuration as necessary in addition to the configuration illustrated in FIG. 1 or may exclude a specific configuration.
  • the information processing apparatus 10 is a desktop personal computer (PC), a notebook PC, a tablet PC, a smartphone, or the like.
  • the information processing apparatus 10 transmits and receives data to and from the detection apparatus 20 via a wired or wireless line.
  • the information processing apparatus 10 receives the detection data output from the detection apparatus 20, and determines the excitement level of the content provided by the content providing apparatus 40 based on the received detection data.
  • the information processing apparatus 10 may determine the excitement level of the content based on the biometric information of one user or the like, or may determine the excitement level caused by the content based on the biometric information of a plurality of users. Also good.
  • the information processing apparatus 10 transmits and receives data to and from the content providing apparatus 40.
  • the information processing apparatus 10 acquires content information specifying content from the content providing apparatus 40.
  • the information processing apparatus 10 will be described in detail later.
  • the detection device 20 is a wristwatch-type wearable terminal attached to the user's arm.
  • the detection apparatus 20 acquires a user's biometric information using various sensors.
  • the detection apparatus 20 acquires acceleration information indicating acceleration generated in the user's body.
  • the detection apparatus 20 acquires surrounding environmental information through various sensors.
  • the detection device 20 transmits the acquired biological information, acceleration information, and environment information to the information processing device 10.
  • the detection device 20 may use any sensor as long as it can detect the biological information of the user while enjoying the content provided by the content providing device 40, and the type of the device is wearable. It is not limited to terminals. The detection device 20 will be described in detail later.
  • the content providing device 40 provides content to the user.
  • the content providing device 40 includes various user interfaces for providing content.
  • the content providing apparatus 40 includes, for example, a monitor, a speaker, a remote controller, or VR (virtual reality) goggles as an interface.
  • VR virtual reality
  • the content providing device 40 provides moving image content to, for example, a user through a monitor, a speaker, or VR goggles. Further, the content providing device 40 may display a book such as an electronic book through a monitor. Further, the content providing apparatus 40 may provide sound content such as music or reading through a speaker. The content providing device 40 may provide game content through a monitor, VR goggles, a speaker, a controller, or the like.
  • the configuration of the content providing device 40 is not limited to a specific configuration.
  • FIG. 2 is a block diagram illustrating a configuration example of the information processing apparatus 10 according to the embodiment.
  • the information processing apparatus 10 includes a processor 11, a ROM 12, a RAM 13, an NVM 14, a detection device interface 15, an operation unit 16, a display unit 17, and the like. These units are connected to each other via a data bus.
  • the information processing apparatus 10 may include a configuration as necessary in addition to the configuration illustrated in FIG. 2 or may exclude a specific configuration.
  • the processor 11 has a function of controlling the operation of the entire information processing apparatus 10.
  • the processor 11 may include an internal cache and various interfaces.
  • the processor 11 implements various processes by executing programs stored in advance in the internal memory, the ROM 12 or the NVM 14.
  • processor 11 controls a function executed by the hardware circuit.
  • the ROM 12 is a nonvolatile memory in which a control program, control data, and the like are stored in advance.
  • the control program and control data stored in the ROM 12 are incorporated in advance according to the specifications of the information processing apparatus 10.
  • the ROM 12 stores, for example, a program (for example, BIOS) that controls the circuit board of the information processing apparatus 10.
  • RAM 13 is a volatile memory.
  • the RAM 13 temporarily stores data being processed by the processor 11.
  • the RAM 13 stores various application programs based on instructions from the processor 11.
  • the RAM 13 may store data necessary for executing the application program, an execution result of the application program, and the like.
  • the NVM 14 is a non-volatile memory in which data can be written and rewritten.
  • the NVM 14 includes, for example, an HDD (Hard Disk Drive), an SSD (Solid State Drive), an EEPROM (registered trademark), or a flash memory.
  • the NVM 14 stores a control program, an application, various data, and the like according to the operation application of the information processing apparatus 10.
  • the detection device interface 15 is an interface for transmitting and receiving data to and from the detection device 20.
  • the detection device interface 15 is connected to the detection device 20 via a wired or wireless line.
  • the detection device interface 15 may support a LAN connection, a USB connection, or a connection via Bluetooth (registered trademark).
  • the operation unit 16 includes, for example, a keyboard, a numeric keypad, and a touch panel.
  • the operation unit 16 takes in various operation instructions input by an operator of the information processing apparatus 10 and transmits a signal representing the operation instruction input by the operator to the processor 11.
  • the display unit 17 is composed of a liquid crystal monitor, for example.
  • the display unit 17 displays various information under the control of the processor 11.
  • the operation unit 16 is configured with a touch panel or the like, the display unit 17 may be formed integrally with the operation unit 16.
  • FIG. 3 is a block diagram illustrating a configuration example of the detection apparatus 20 according to the embodiment.
  • the detection device 20 includes a processor 21, a memory 22, a communication unit 23, an operation unit 24, a display unit 25, a biosensor 26, an acceleration sensor 27, and an environment sensor 28. These units are connected to each other via a data bus.
  • the detection device 20 may include a configuration as necessary in addition to the configuration illustrated in FIG. 3 or may exclude a specific configuration.
  • the processor 21 has a function of controlling the operation of the entire detection device 20.
  • the processor 21 may include an internal cache and various interfaces.
  • the processor 21 implements various processes by executing programs stored in the internal memory or the memory 22 in advance.
  • processor 21 controls a function executed by the hardware circuit.
  • the memory 22 stores various data in a volatile or non-volatile manner.
  • the memory 22 temporarily stores data being processed by the processor 21.
  • the memory 22 stores a control program, an application, and various data according to the operation application of the detection device 20.
  • the memory 22 temporarily or non-temporarily stores the user's biological information, acceleration information, environmental information, and the like.
  • the communication unit 23 is an interface for transmitting and receiving data to and from the information processing apparatus 10.
  • the communication unit 23 is connected to the information processing apparatus 10 via a wired or wireless line.
  • the communication unit 23 may support a LAN connection, a USB connection, or a connection by Bluetooth.
  • the operation unit 24 includes, for example, a keyboard, a numeric keypad, and a touch panel.
  • the operation unit 24 takes in various operation instructions input by a user wearing the detection device 20 and outputs a signal representing the operation instructions to the processor 21.
  • the display unit 25 is composed of, for example, a liquid crystal monitor.
  • the display unit 25 displays various information under the control of the processor 21.
  • the operation unit 24 is configured with a touch panel or the like, the display unit 25 may be formed integrally with the operation unit 24.
  • the biological sensor 26 is composed of a sensor for measuring biological information to be measured.
  • the biometric sensor 26 measures biometric information related to the user's living body continuously or at predetermined time intervals.
  • the biosensor 26 includes a blood pressure sensor 261 that measures at least blood pressure.
  • the biosensor 26 measures a heart rate sensor that measures a heart rate, an electrocardiogram sensor that measures an electrocardiogram, a pulse wave sensor that measures a pulse wave, a pulse sensor that measures a pulse, a body temperature sensor that measures body temperature, or a sweating state. It may include a sweat sensor.
  • the biological sensor 26 may include a sensor that is installed on the head and measures brain waves.
  • the blood pressure sensor 261 is a sensor that measures a user's blood pressure as biological information.
  • the blood pressure sensor 261 may be a blood pressure sensor (hereinafter referred to as a continuous blood pressure sensor) that can measure blood pressure for each beat (continuous) of the user's heartbeat.
  • the continuous blood pressure sensor may continuously measure a user's blood pressure from a pulse wave transit time (PTT; Pulse Transit Time), or may realize continuous measurement by a tonometry method or other techniques.
  • the blood pressure sensor 261 may be a discontinuous blood pressure sensor that measures blood pressure discontinuously.
  • the discontinuous blood pressure sensor may measure a user's blood pressure using a cuff as a pressure sensor (oscillometric method).
  • the blood pressure sensor 261 is not limited to a specific configuration.
  • each sensor other than the blood pressure sensor 261 also measures the user's biological information continuously or at predetermined time intervals. That is, each sensor constituting the biological sensor 26 may measure the biological information every time the heart beats (continuously), or may measure the biological information at predetermined time intervals.
  • Each sensor constituting the biological sensor 26 outputs a measurement value indicating a measurement result (a value indicating the state of biological information (measurement value of biological information)) to the processor 21.
  • each sensor of the biosensor 26 may output a measurement value of the biometric information measured each time biometric information is measured to the processor 21.
  • each sensor of the biosensor 26 may transmit a measurement value of biometric information to the processor 21 at a predetermined time interval.
  • the biometric sensor 26 may have a buffer memory, and may collectively output the measurement values of the biometric information measured within a predetermined time interval to the processor 21.
  • the acceleration sensor 27 detects the acceleration received by the acceleration sensor 27. For example, the acceleration sensor 27 detects triaxial acceleration information generated on the user's wrist. The acceleration sensor 27 outputs acceleration information indicating the measured acceleration value to the processor 21.
  • the environmental sensor 28 measures environmental information indicating the environment around the user continuously or at predetermined time intervals.
  • the environmental sensor 28 includes an air temperature sensor 281 that measures air temperature as environmental information.
  • the environmental sensor 28 may include a humidity sensor that measures humidity, an atmospheric pressure sensor that measures atmospheric pressure, an illuminance sensor that measures illuminance, a microphone that measures sound, and the like.
  • the temperature sensor 281 includes a thermistor, a thermocouple, an infrared sensor, or the like.
  • the temperature sensor 281 measures the temperature around the user. Further, the temperature sensor 281 may output a value obtained by correcting the value actually measured by the detection unit according to the influence of the user's body temperature as a measured value of the temperature.
  • the configuration of the temperature sensor 281 is not limited to a specific configuration.
  • the processor 21 may measure the temperature by correcting the measurement value of the temperature sensor 281 according to the influence of the user's body temperature.
  • each sensor of the environmental sensor 28 outputs a value indicating a measurement result (a value indicating an environmental state (a measured value of environmental information)) to the processor 21.
  • the environment sensor 28 may output a measurement value of the environment information to the processor 21 every time the environment information is measured.
  • each sensor of the environmental sensor 28 may transmit a measurement value of environmental information to the processor 21 at a predetermined time interval.
  • the environment sensor 28 may include a buffer memory, and collectively transmit measured values of environment information measured within a predetermined interval to the processor 21.
  • the detection device 20 may include a gyro sensor or the like.
  • the gyro sensor detects the rotation in the three axis directions and transmits the detection result to the processor 21.
  • the processor 21 has a function of acquiring biological information from each sensor of the biological sensor 26.
  • the processor 21 acquires a blood pressure measurement value (blood pressure value) from the blood pressure sensor 261 as biological information.
  • the processor 21 transmits a command for acquiring a blood pressure value to the blood pressure sensor 261, and acquires the blood pressure value as a response to the command.
  • the processor 21 may acquire a blood pressure value transmitted by the blood pressure sensor 261 at a predetermined timing.
  • the processor 21 may acquire a measurement value of a heart rate, an electrocardiogram, a pulse wave, a pulse, a body temperature, sweating, or an electroencephalogram from the biosensor 26 as a measurement value of biometric information.
  • the processor 21 has a function of acquiring acceleration information in the triaxial direction from the acceleration sensor 27. For example, the processor 21 transmits a command for acquiring acceleration information to the acceleration sensor 27, and acquires acceleration information as a response to the command. Further, the processor 21 may acquire acceleration information transmitted by the acceleration sensor 27 at a predetermined timing.
  • the processor 21 has a function of acquiring environment information from the environment sensor 28. For example, the processor 21 acquires the temperature from the temperature sensor 281 as a measurement value of the environmental information.
  • the processor 21 transmits a command for acquiring the temperature to the temperature sensor 281 and acquires the temperature as a response to the command. Further, the processor 21 may acquire the temperature transmitted by the temperature sensor 281 at a predetermined timing. The processor 21 may acquire a value indicating the state of humidity, atmospheric pressure, illuminance, or sound from the environmental sensor 28 as a measured value of the environmental information.
  • the processor 21 has a function of transmitting biological information, acceleration information, and environment information to the information processing apparatus 10.
  • the processor 21 transmits biological information, acceleration information, and environment information to the information processing apparatus 10 through the communication unit 23.
  • the processor 21 when the processor 21 receives a request for biological information, acceleration information, and environmental information from the information processing apparatus 10 through the communication unit 23, the processor 21 transmits biological information, acceleration information, and environmental information as a response to the request. Further, the processor 21 may transmit the biological information, the acceleration information, and the environment information to the information processing apparatus 10 through the communication unit 23 at a predetermined timing.
  • the processor 21 may include time information indicating time in the biological information, acceleration information, and environment information.
  • the processor 21 may include time information indicating the time when the measured value of the biological information, the measured value of the acceleration information, and the measured value of the environmental information are measured in the biological information, the acceleration information, and the environmental information, respectively.
  • the processor 21 may acquire time information indicating the time at which each measurement value is measured from the biological sensor 26, the acceleration sensor 27, and the environment sensor 28.
  • processor 21 may not transmit either or both of acceleration information and environment information to the information processing apparatus 10. Further, the processor 21 may transmit other information to the information processing apparatus 10.
  • FIG. 4 is a block diagram illustrating functions realized by the information processing apparatus 10.
  • the information processing apparatus 10 includes a content information acquisition unit 31, a biological information acquisition unit 32, an acceleration information acquisition unit 33, an environment information acquisition unit 34, a determination unit 35, and an evaluation unit 36.
  • the content information acquisition unit 31, the biological information acquisition unit 32, the acceleration information acquisition unit 33, the environment information acquisition unit 34, the determination unit 35, and the evaluation unit 36 are realized by the processor 11 executing a program stored in the NVM 14 or the like.
  • the processor 11 has a function of acquiring content information specifying content provided by the content providing device 40 as the content information acquiring unit 31.
  • the processor 11 acquires content information from the content providing device 40.
  • the processor 11 may accept input of content information from an operator or the like through the operation unit 16.
  • the processor 11 has a function of acquiring biological information as the biological information acquisition unit 32.
  • the processor 11 acquires biological information from the detection device 20 through the detection device interface 15. For example, the processor 11 transmits a request for biological information to the detection device 20 through the detection device interface 15 and receives the biological information as a response to the request. Further, the processor 11 may receive biological information transmitted from the detection device 20 through the detection device interface 15 at a predetermined timing. For example, the processor 11 may acquire biological information measured for each beat. Moreover, the processor 11 may acquire biometric information of a plurality of users.
  • the processor 11 has a function of acquiring acceleration information as the acceleration information acquisition unit 33.
  • the processor 11 acquires acceleration information from the detection device 20 through the detection device interface 15. For example, the processor 11 transmits a request for acceleration information to the detection device 20 through the detection device interface 15, and receives the acceleration information as a response to the request. Further, the processor 11 may receive acceleration information transmitted from the detection device 20 at a predetermined timing through the detection device interface 15. Further, the processor 11 may acquire acceleration information measured every beat. Further, the processor 11 may acquire acceleration information of a plurality of users.
  • the processor 11 has a function of acquiring environment information as the environment information acquisition unit 34.
  • the processor 11 acquires environmental information from the detection device 20 through the detection device interface 15.
  • the processor 11 transmits a request for environmental information to the detection device 20 through the detection device interface 15 and receives the environmental information as a response to the request.
  • the processor 11 may receive environment information transmitted from the detection device 20 through the detection device interface 15 at a predetermined timing.
  • the processor 11 may acquire environmental information from a device other than the detection device 20.
  • the determination system 1 may include a measurement device that measures environmental information at a predetermined position.
  • the measurement device may include a temperature sensor.
  • the processor 11 may acquire environmental information indicating a measured value such as temperature from a measuring device. Further, the processor 11 may acquire environment information measured for each beat. Further, the processor 11 may acquire environment information of a plurality of users.
  • the processor 11 may simultaneously realize the biological information acquisition unit 32, the acceleration information acquisition unit 33, and the environment information acquisition unit 34. For example, the processor 11 may acquire biological information, acceleration information, and environmental information from the detection device 20 at the same time. For example, the processor 11 may transmit a request for acquiring each information to the detection device 20. Moreover, the processor 11 does not need to acquire either or both of acceleration information and environmental information.
  • the processor 11 has a function of determining the degree of excitement of the user who enjoys the content provided by the content providing device 40 as the determination unit 35. For example, the processor 11 determines the degree of excitement of the user every time biometric information, acceleration information, or environmental information is acquired. Further, the processor 11 may determine the degree of user excitement at predetermined time intervals.
  • the processor 11 determines the degree of excitement based on the blood pressure value indicated by the biological information. In this case, the processor 11 determines that the excitement level is high when the blood pressure value is high.
  • the processor 11 may determine the degree of excitement by comparing a predetermined threshold value (for example, an average blood pressure value unique to the user) with a blood pressure value. Further, the processor 11 may determine the degree of excitement by comparing a past blood pressure value (for example, a blood pressure value in the latest predetermined period) with a current blood pressure value. Further, the processor 11 may determine the degree of excitement based on a blood pressure value that is continuously measured. In this case, for example, the processor 11 determines that the excitement level is higher as the blood pressure value increases.
  • a predetermined threshold value for example, an average blood pressure value unique to the user
  • a past blood pressure value for example, a blood pressure value in the latest predetermined period
  • the processor 11 may determine the degree of excitement based on a blood pressure value that is continuously measured. In this case, for example, the processor
  • the processor 11 may determine the degree of excitement based on the heart rate (heart rate per predetermined time) as biological information. In this case, the processor 11 determines that the excitement level is high when the heart rate is high. Further, the processor 11 may determine the degree of excitement by comparing a predetermined threshold (for example, an average heart rate unique to the user) with a heart rate. Further, the processor 11 may determine the degree of excitement by comparing the past heart rate (for example, the heart rate in the latest predetermined period) with the current heart rate. Further, the processor 11 may determine the degree of excitement based on fluctuations in heart rate that are continuously measured. In this case, the processor 11 determines that the excitement degree is higher as the heart rate increases.
  • a predetermined threshold for example, an average heart rate unique to the user
  • the processor 11 may determine the degree of excitement by comparing the past heart rate (for example, the heart rate in the latest predetermined period) with the current heart rate.
  • the processor 11 may determine the degree of excitement based on fluctuations in heart rate that are continuously measured. In this case, the
  • the processor 11 may determine the degree of excitement based on electrocardiogram, pulse wave, pulse, body temperature, sweating, brain wave or the like as biological information.
  • the processor 11 may determine the degree of excitement in consideration of acceleration information in addition to biological information. In this case, the processor 11 determines that the degree of excitement is high when the acceleration indicated by the acceleration information is large. Further, the processor 11 may determine the degree of excitement by comparing a predetermined threshold (for example, an average acceleration unique to the user) with the acceleration. Further, the processor 11 may determine the degree of excitement by comparing the past acceleration (for example, the acceleration during the most recent predetermined period) and the current acceleration.
  • a predetermined threshold for example, an average acceleration unique to the user
  • the processor 11 may determine the degree of excitement in consideration of environmental information in addition to biological information. For example, the processor 11 determines the degree of excitement based on the temperature indicated by the environmental information. Since it is known that the blood pressure value changes according to the change in temperature, the processor 11 determines that the change in blood pressure value (for example, an increase) is linked to the change in temperature (for example, a decrease in temperature). Determines that the change in blood pressure value is due to a change in temperature. That is, the processor 11 determines the degree of excitement by correcting the measured value of the blood pressure that is actually measured by the blood pressure sensor 261 based on the change in the blood pressure value that is estimated to be caused by the change in temperature. For example, the processor 11 determines that the increase or decrease in the excitement level resulting from the change in the blood pressure value is small (or that there is no increase or decrease in the excitement level).
  • the processor 11 may determine the degree of excitement based on humidity, atmospheric pressure, illuminance, sound, or the like indicated by the environmental information.
  • the processor 11 may calculate the degree of excitement using an evaluation function having each measurement value as an argument. For example, the processor 11 may calculate the degree of excitement by substituting each measurement value into the evaluation function.
  • the processor 11 may calculate the degree of excitement without using either or both of acceleration information and environment information. Further, the processor 11 may determine the degree of excitement of the plurality of users based on the biological information, acceleration information, and environment information about the plurality of users.
  • the method by which the processor 11 determines the degree of excitement is not limited to a specific method.
  • the processor 11 has a function of determining an evaluation value indicating the excitement level of the content specified by the content information based on the excitement level of the user as the evaluation unit 36. For example, the processor 11 may use an average value of the excitement level while the user is enjoying the content as the evaluation value of the content. Further, the processor 11 may use the maximum value of the excitement level as the content evaluation value.
  • the processor 11 may determine the evaluation value of the content based on the excitement levels of a plurality of users. For example, the processor 11 may calculate the average value of the excitement level of each user while the user is enjoying the content, and may set a value obtained by further averaging the average value to the excitement level of each user as the evaluation value of the content.
  • the processor 11 may use the average value of the maximum values of the excitement level of each user as the content evaluation value.
  • the method by which the processor 11 determines the evaluation value is not limited to a specific method.
  • processor 11 may display the evaluation value on the display unit 17. Further, the processor 11 may transmit an evaluation value to an external device. Further, the processor 11 may store the evaluation value in the NVM 14.
  • FIG. 5 is a flowchart for explaining an operation example of the information processing apparatus 10.
  • the processor 11 of the information processing apparatus 10 acquires content information specifying content provided to the user by the content providing apparatus 40 (S11).
  • the processor 11 determines whether the content providing apparatus 40 has started providing the content (S12). For example, the processor 11 receives a signal indicating that the provision of content is started from the content providing apparatus 40, and determines that the provision of content is started by detecting the reception of the signal. Further, the processor 11 may receive an operation input indicating that the content providing apparatus 40 has started providing content through the operation unit 16.
  • the processor 11 If it is determined that the content providing device 40 has not started providing content (S12, NO), the processor 11 returns to S12.
  • the processor 11 acquires biological information, acceleration information, and environmental information using the detection device 20 or the like (S13).
  • the processor 11 determines the degree of user excitement based on the biological information, acceleration information, environment information, and the like (S14).
  • the processor 11 stores the determined excitement level in the NVM 14 or the like (S15).
  • the processor 11 determines whether or not the content providing apparatus 40 has finished providing the content (S16). For example, the processor 11 receives a signal indicating that the provision of the content has been completed from the content providing device 40, and determines that the provision of the content has been completed by detecting the reception of the signal. Further, the processor 11 may accept an input of an operation indicating that the content providing apparatus 40 has finished providing the content through the operation unit 16.
  • the processor 11 determines that content provision has not ended (S16, NO). If the content providing device 40 determines that content provision has not ended (S16, NO), the processor 11 returns to S13. When it is determined that the content providing device 40 has finished providing the content (S16, YES), the processor 11 determines the evaluation value of the content specified by the content information based on the excitement stored in the NVM 14 or the like (S17). When the content evaluation value is determined, the processor 11 ends the operation.
  • the processor 11 may determine the degree of user excitement even before or after the start of content provision. Further, the processor 11 may transmit the determined excitement level to the detection device 20. The processor 21 of the detection device 20 may display the received excitement level on the display unit 25.
  • the detection device 20 may have the function of the information processing device 10.
  • the processor 21 of the detection device 20 determines the degree of excitement of the user based on biological information or the like.
  • the processor 21 transmits the degree of excitement determined through the communication unit 23 or the like to the information processing apparatus 10.
  • the information processing apparatus 10 determines a content evaluation value based on the received excitement level.
  • the processor 21 of the detection device 20 may determine the user's excitement level and determine the evaluation value of the content.
  • the processor 21 may transmit the evaluation value to the information processing apparatus 10 through the communication unit 23 or the like.
  • the processor 11 may determine the user's excitement level and determine the evaluation value of the content after the provision of the content. For example, the processor 11 acquires biometric information, acceleration information, and environment information of the user who is providing content. For example, the processor 11 acquires biological information, acceleration information, and environment information from the NVM 14. Further, the processor 11 may acquire biological information, acceleration information, and environment information from an external device. The processor 11 determines the degree of excitement during content provision based on the acquired biological information, acceleration information, and environment information. The processor 11 determines the evaluation value of the content based on the determined excitement level.
  • the information processing apparatus determines the degree of excitement caused by the content based on the biological information including at least the blood pressure of the user. Therefore, the information processing apparatus can determine the degree of user excitement based on an objective index.
  • Application 1 Next, an application example of the information processing apparatus 10 according to an embodiment will be described. Here, it is assumed that the processor 11 of the information processing apparatus 10 determines the degree of excitement generated from moving image content such as a movie, a drama, or a television program.
  • the processor 11 specifies a recommended scene of the moving image content based on the time series excitement (scene specifying unit).
  • the recommended scene is a scene with high excitement. That is, the recommended scene causes a high degree of excitement to the user.
  • the recommended scene is a scene including a period in which the degree of excitement exceeds a predetermined threshold.
  • FIG. 6 is an example of a graph showing the degree of excitement generated from the moving image content.
  • the horizontal axis represents time.
  • the vertical axis indicates the degree of excitement.
  • the moving image content has a period in which the degree of excitement exceeding a predetermined threshold occurs.
  • the processor 11 specifies scenes (scene A and scene B) including the period as the recommended scene.
  • the processor 11 may specify a period in which the degree of excitement exceeding a predetermined threshold has occurred as a recommended scene. Further, the processor 11 may specify a predetermined period including a period in which the degree of excitement exceeds a predetermined threshold (for example, a cut including the period) as the recommended scene.
  • the method by which the processor 11 specifies the recommended scene is not limited to a specific method.
  • the information processing apparatus configured as described above specifies a recommended scene that causes a high degree of excitement in the moving image content. As a result, the information processing apparatus can present a more exciting scene to the user.
  • Application example 2 Next, another application example of the information processing apparatus 10 according to an embodiment will be described. Here, it is assumed that the processor 11 of the information processing apparatus 10 determines an evaluation value of moving image content such as a movie, a drama, or a television program.
  • the processor 11 creates a ranking of evaluation values based on the evaluation values of a plurality of moving image contents. For example, the processor 11 determines the degree of excitement generated from each of the plurality of moving image contents. The processor 11 determines an evaluation value for each video content based on the degree of excitement generated from the plurality of video content. The processor 11 rearranges the evaluation values in ascending order and generates a ranking (evaluation value ranking) based on the evaluation values of the respective moving image contents (ranking generation unit).
  • FIG. 7 shows a configuration example of evaluation value ranking. As shown in FIG. 7, the evaluation value ranking displays the rank, content, and evaluation value in association with each other.
  • the rank is the rank of the evaluation value.
  • the content indicates the name of the content.
  • the evaluation value indicates the evaluation value of the corresponding content. Note that the configuration of the evaluation value ranking is not limited to a specific configuration.
  • the information processing apparatus configured as described above generates rankings of evaluation values for a plurality of moving image contents. As a result, the information processing apparatus can present the moving image content that causes a higher degree of excitement to the user in a ranking format.
  • this invention is not limited to the said embodiment, In the implementation stage, it can change variously in the range which does not deviate from the summary. Further, the embodiments may be implemented in combination as appropriate, and in that case, the combined effect can be obtained. Furthermore, the present invention includes various inventions, and various inventions can be extracted by combinations selected from a plurality of disclosed constituent elements. For example, even if several constituent requirements are deleted from all the constituent requirements shown in the embodiment, if the problem can be solved and an effect can be obtained, the configuration from which the constituent requirements are deleted can be extracted as an invention.
  • a part or all of the above embodiment may be described as in the following supplementary notes, but is not limited thereto.
  • Appendix 1 A memory and a processor that operates with a program stored in the memory, The processor is From the detection device that measures biometric information including at least blood pressure, obtain biometric information of the user who enjoys the content, An information processing apparatus that determines the degree of excitement of the user based on the biological information.
  • Appendix 2 An information processing method executed by a processor, From the detection device that measures biometric information including at least blood pressure, obtain biometric information of the user who enjoys the content, An information processing method for determining the degree of excitement of the user based on the biological information.

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Abstract

L'invention concerne un appareil de traitement d'informations, un procédé de traitement d'informations et un programme qui permettent de déterminer le degré d'enthousiasme d'un utilisateur sur la base d'un indice objectif. Cet appareil de traitement d'informations comporte : une unité d'acquisition d'informations biologiques qui acquiert des informations biologiques d'un utilisateur qui apprécie un contenu, à partir d'un dispositif de détection qui mesure les informations biologiques comprenant au moins la tension artérielle; et une unité de détermination qui détermine l'enthousiasme de l'utilisateur sur la base des informations biologiques acquises par l'unité d'acquisition d'informations biologiques.
PCT/JP2018/000697 2017-03-13 2018-01-12 Appareil de traitement d'informations, procédé de traitement d'informations et programme WO2018168176A1 (fr)

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JP2020166850A (ja) * 2019-03-26 2020-10-08 ミツフジ株式会社 情報提供プログラム、端末装置、情報提供システム、情報提供方法

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JP2020166850A (ja) * 2019-03-26 2020-10-08 ミツフジ株式会社 情報提供プログラム、端末装置、情報提供システム、情報提供方法

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