WO2018168176A1 - Information processing apparatus, information processing method, and program - Google Patents

Information processing apparatus, information processing method, and program 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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WO
WIPO (PCT)
Prior art keywords
information
excitement
processor
user
information processing
Prior art date
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PCT/JP2018/000697
Other languages
French (fr)
Japanese (ja)
Inventor
皓介 井上
就介 江下
Original Assignee
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/en

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    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30—ICT 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
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, 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
    • A61B5/021—Measuring pressure in heart or blood vessels
    • A61B5/022—Measuring pressure in heart or blood vessels by applying pressure to close blood vessels, e.g. against the skin; Ophthalmodynamometers
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/22—Social work

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.

Abstract

Provided are an information processing apparatus, an information processing method, and a program that enable determination of the degree of a user's excitement on the basis of an objective index. This information processing apparatus is provided with: a biological information acquisition unit that acquires biological information of a user who enjoys content, from a detection device that measures the biological information including at least blood pressure; and a determination unit that determines the excitement of the user on the basis of the biological information acquired by the biological information acquisition unit.

Description

情報処理装置、情報処理方法及びプログラムInformation processing apparatus, information processing method, and program
　この発明は、ユーザの興奮度を判定する情報処理装置、情報処理方法及びプログラムに関連する。 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.
　映画又はゲームなどのコンテンツの提供者は、当該コンテンツを享受するユーザの興奮度を調査したいことがある。従来、映画又はゲームなどのコンテンツによってユーザに生じた興奮度は、ユーザへのアンケートなどを通じて調査するのが一般的である（日本国特開２０１６－００７４１４号公報）。 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. Conventionally, 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).
　しかしながら、アンケートによる興奮度の判定では、アンケートに答えるユーザが持っている先入観又はバイアスによって正当な結果を得にくいことがある。このため、コンテンツによってユーザに生じた興奮度を客観的な指標により判定することができるものが要望されている。 However, in the determination of the excitement level by the questionnaire, it may be difficult to obtain a legitimate result due to the preconception or bias of the user answering the questionnaire. For this reason, what can determine the excitement degree which a user produced with the content with an objective parameter | index is desired.
　そこで、本発明は、客観的な指標によってユーザの興奮度を判定できる情報処理装置、情報処理方法及びプログラムを提供する。 Therefore, 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.
　上記課題を解決するために第１の形態に係る情報処理装置は、少なくとも血圧を含む生体情報を測定する検出装置から、コンテンツを享受するユーザの生体情報を取得する生体情報取得部と、前記生体情報取得部により取得された前記生体情報に基づいて、前記ユーザの興奮度を判定する判定部と、を備える。 In order to solve the above problem, an information processing apparatus according to a first embodiment 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.
　第２の形態に係る前記生体情報取得部は、前記検出装置が前記ユーザの心拍の一拍ごとに測定した生体情報を取得する。 The biological information acquisition unit according to the second embodiment acquires biological information measured by the detection device for each beat of the user's heartbeat.
　第３の形態に係る情報処理装置は、前記判定部により判定された前記ユーザの興奮度に基づいて、前記コンテンツの評価値を決定する評価部を、さらに備える。 The information processing apparatus according to the third aspect 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.
　第４の形態に係る情報処理装置は、前記検出装置から、環境状態を示す環境情報を取得する環境情報取得部を、さらに備え、前記判定部は、前記環境情報取得部により取得された前記環境情報を加味して前記ユーザの興奮度を判定する。 The information processing apparatus according to a fourth aspect 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.
　第５の形態に係る情報処理装置は、前記検出装置から、前記ユーザの体の一部に生じた加速度を示す加速度情報を取得する加速度情報取得部を、さらに備え、前記判定部は、前記加速度情報取得部により取得された前記加速度情報を加味して前記ユーザの興奮度を判定する。 The information processing apparatus according to a fifth aspect 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.
　第６の形態に係る前記生体情報取得部は、複数のユーザの生体情報をそれぞれ取得し、前記判定部は、前記生体情報取得部により取得された前記複数のユーザの生体情報に基づいて、前記複数のユーザの興奮度をそれぞれ判定し、前記評価部は、前記判定された複数のユーザの興奮度に基づいて前記コンテンツの評価値を決定する。 The biometric information acquisition unit according to a sixth aspect 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.
　第７の形態に係る前記コンテンツは、動画コンテンツであり、情報処理装置は、前記ユーザの興奮度に基づいて、興奮度が所定の閾値を超える期間を含むシーンを特定するシーン特定部を、さらに備える。 The content according to the seventh aspect is moving image content, and 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.
　第８の形態に係る前記評価部は、複数のコンテンツの評価値を決定し、情報処理装置は、前記複数のコンテンツの評価値に基づくランキングを生成するランキング生成部を、さらに備える。 The evaluation unit according to the eighth aspect 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.
　第１の形態によれば、情報処理装置において、ユーザの少なくとも血圧を含む生体情報に基づいてコンテンツによって生じるユーザの興奮度が判定される。その結果、客観的な指標に基づいて正確な興奮度を判定することができる。また、アンケートの実施又は集計などの、ユーザ及び調査者の手間がかからずに、ユーザの興奮度を調査することができる。 According to the first embodiment, in the information processing device, 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. As a result, 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.
　第２の形態によれば、情報処理装置において、一拍ごとに生体情報が取得される。その結果、情報処理装置では、コンテンツを享受するユーザの興奮度を連続して判定することができる。 According to the second form, the biological information is acquired for each beat in the information processing apparatus. As a result, the information processing apparatus can continuously determine the degree of excitement of the user who enjoys the content.
　第３の形態によれば、情報処理装置において、興奮度の判定結果に基づいてコンテンツの評価値が決定される。その結果、コンテンツによってユーザに生じる興奮度に応じてコンテンツの興奮度を示す１つの値としてコンテンツの評価値を求めることができる。 According to the third embodiment, the content evaluation value is determined based on the determination result of the excitement level in the information processing apparatus. As a result, 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.
　第４の形態によれば、情報処理装置において、環境情報が加味されたうえでユーザの興奮度が判定される。その結果、環境によって生じた生体情報の変化を考慮してより正確な興奮度の判定を行うことができる。 According to the fourth embodiment, 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.
　第５の形態によれば、情報処理装置において、ユーザの体の一部で発生した加速度が加味されたうえで興奮度が判定される。従って、ユーザの体の動静まで考慮したより正確に興奮度を判定することができる。 According to the fifth embodiment, in the information processing apparatus, 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.
　第６の形態によれば、情報処理装置において、複数のユーザの興奮度が判定され、その各判定結果に基づいてコンテンツの評価値が決定される。その結果、各ユーザの生体反応のばらつきが中和され、より正確なコンテンツの評価値を決定することができる。 According to the sixth embodiment, 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.
　第７の形態によれば、情報処理装置において、興奮度の高いシーンが特定される。その結果、興奮度の高いシーンをユーザに提示することができる。 According to the seventh embodiment, a scene with high excitement is specified in the information processing apparatus. As a result, a scene with a high degree of excitement can be presented to the user.
　第８の形態によれば、情報処理装置において、コンテンツのランキングが生成される。その結果、より高い興奮度を生じさせるコンテンツをランキングでユーザに提示することができる。 According to the eighth embodiment, 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.
図１は、判定システムの構成例を概略的に示す図である。FIG. 1 is a diagram schematically illustrating a configuration example of a determination system. 図２は、情報処理装置の構成例を示すブロック図である。FIG. 2 is a block diagram illustrating a configuration example of the information processing apparatus. 図３は、検出装置の構成例を示すブロック図である。FIG. 3 is a block diagram illustrating a configuration example of the detection apparatus. 図４は、情報処理装置の機能の構成例を示すブロック図である。FIG. 4 is a block diagram illustrating a configuration example of functions of the information processing apparatus. 図５は、情報処理装置の動作例を示すフローチャートである。FIG. 5 is a flowchart illustrating an operation example of the information processing apparatus. 図６は、動画コンテンツから生じた興奮度を示すグラフの例である。FIG. 6 is an example of a graph showing the degree of excitement generated from the moving image content. 図７は、動画コンテンツの評価値に基づくランキングの例である。FIG. 7 is an example of ranking based on the evaluation value of the moving image content.
　以下、この発明の一実施形態について、図面を参照して説明する。　
　一実施形態の判定システムは、コンテンツによってユーザに生じた興奮度をユーザから測定される生体情報の測定値に基づいて判定する。判定システムは、ユーザに生じた興奮度からコンテンツの評価値を決定する。たとえば、判定システムが評価値を決定するコンテンツは、テレビジョン放送若しくは映画館などで視聴可能な動画コンテンツ、音楽などの音コンテンツ、テレビゲーム若しくは携帯ゲームなどのゲームコンテンツ、漫画若しくは小説などの本（電子書籍を含む）、又は、ジェットコースター、お化け屋敷若しくはバンジージャンプなどのアトラクションコンテンツなどである。コンテンツの構成は、特定の構成に限定されるものではない。 Hereinafter, an embodiment of the present invention will be described with reference to the drawings.
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. For example, 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.
　図１は、この発明の一実施形態に係る情報処理装置を備えた判定システム１の構成例を概略的に示す図である。　
　図１に示すように、判定システム１は、情報処理装置１０、検出装置２０及びコンテンツ提供装置４０を備える。なお、判定システム１は、図１に示すような構成の他に必要に応じた構成を具備したり、特定の構成を除外したりしてもよい。 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.
As illustrated in FIG. 1, the determination system 1 includes an information processing device 10, a detection device 20, and a content providing device 40. Note that 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.
　情報処理装置１０は、ディスクトップ型のパーソナルコンピュータ（ＰＣ）、ノートＰＣ、タブレットＰＣ又はスマートフォンなどである。また、情報処理装置１０は、検出装置２０と有線又は無線回線を介してデータを送受信する。情報処理装置１０は、検出装置２０から出力された検出データを受信し、受信された検出データなどに基づいて、コンテンツ提供装置４０が提供するコンテンツの興奮度を判定する。なお、情報処理装置１０は、１人のユーザの生体情報などに基づいてコンテンツの興奮度を判定してもよいし、複数のユーザの生体情報などに基づいてコンテンツによって生じる興奮度を判定してもよい。 The information processing apparatus 10 is a desktop personal computer (PC), a notebook PC, a tablet PC, a smartphone, or the like. In addition, 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.
　また、情報処理装置１０は、コンテンツ提供装置４０とデータを送受信する。情報処理装置１０は、たとえば、コンテンツ提供装置４０からコンテンツを特定するコンテンツ情報などを取得する。 In addition, the information processing apparatus 10 transmits and receives data to and from the content providing apparatus 40. For example, the information processing apparatus 10 acquires content information specifying content from the content providing apparatus 40.
　情報処理装置１０については、後に詳述する。 The information processing apparatus 10 will be described in detail later.
　検出装置２０は、ユーザの腕に取り付けられる腕時計型のウェアラブル端末である。検出装置２０は、種々のセンサを用いてユーザの生体情報を取得する。また、検出装置２０は、ユーザの体に生じた加速度を示す加速度情報を取得する。また、検出装置２０は、種々のセンサを通じて周囲の環境情報を取得する。検出装置２０は、取得した生体情報、加速度情報及び環境情報を情報処理装置１０へ送信する。 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. Moreover, the detection apparatus 20 acquires acceleration information indicating acceleration generated in the user's body. Moreover, 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.
　なお、検出装置２０は、コンテンツ提供装置４０が提供するコンテンツを享受している間のユーザの生体情報を検出できるものであればどのようなセンサを使用してもよく、また装置のタイプもウェアラブル端末に限定されるものではない。　
　検出装置２０については、後に詳述する。 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.
　コンテンツ提供装置４０は、ユーザにコンテンツを提供する。コンテンツ提供装置４０は、コンテンツを提供するための種々のユーザインターフェースを備える。コンテンツ提供装置４０は、インターフェースとして、たとえばモニタ、スピーカ、リモートコントローラ又はＶＲ（ｖｉｒｔｕａｌ　ｒｅａｌｉｔｙ）ゴーグルを備える。 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.
　コンテンツ提供装置４０は、モニタ、スピーカ又はＶＲゴーグルを通じて、たとえばユーザに対し動画コンテンツを提供する。また、コンテンツ提供装置４０は、モニタを通じて電子書籍などの本を表示してもよい。また、コンテンツ提供装置４０は、スピーカを通じて音楽又は朗読などの音コンテンツを提供してもよい。また、コンテンツ提供装置４０は、モニタ、ＶＲゴーグル、スピーカ又はコントローラなどを通じてゲームコンテンツを提供してもよい。　
　コンテンツ提供装置４０の構成は、特定の構成に限定されるものではない。 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.
　次に、情報処理装置１０について説明する。　
　図２は、実施形態に係る情報処理装置１０の構成例を示すブロック図である。　
　図２が示す構成例において、情報処理装置１０は、プロセッサ１１、ＲＯＭ１２、ＲＡＭ１３、ＮＶＭ１４、検出装置インターフェース１５、操作部１６及び表示部１７などを備える。これらの各部は、データバスを介して互いに接続される。なお、情報処理装置１０は、図２が示すような構成の他に必要に応じた構成を具備したり、特定の構成を除外したりしてもよい。 Next, the information processing apparatus 10 will be described.
FIG. 2 is a block diagram illustrating a configuration example of the information processing apparatus 10 according to the embodiment.
In the configuration example illustrated in FIG. 2, 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. Note that 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.
　プロセッサ１１は、情報処理装置１０全体の動作を制御する機能を有する。プロセッサ１１は、内部キャッシュおよび各種のインターフェースなどを備えてもよい。プロセッサ１１は、内部メモリ、ＲＯＭ１２又はＮＶＭ１４が予め記憶するプログラムを実行することにより種々の処理を実現する。 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.
　なお、プロセッサ１１がプログラムを実行することにより実現する各種の機能のうちの一部は、ハードウエア回路により実現されるものであってもよい。この場合、プロセッサ１１は、ハードウエア回路により実行される機能を制御する。 Note that some of various functions realized by the processor 11 executing a program may be realized by a hardware circuit. In this case, the processor 11 controls a function executed by the hardware circuit.
　ＲＯＭ１２は、制御プログラム及び制御データなどが予め記憶された不揮発性のメモリである。ＲＯＭ１２に記憶される制御プログラム及び制御データは、情報処理装置１０の仕様に応じて予め組み込まれる。ＲＯＭ１２は、たとえば、情報処理装置１０の回路基板を制御するプログラム（たとえば、ＢＩＯＳ）などを格納する。 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.
　ＲＡＭ１３は、揮発性のメモリである。ＲＡＭ１３は、プロセッサ１１の処理中のデータなどを一時的に格納する。ＲＡＭ１３は、プロセッサ１１からの命令に基づき種々のアプリケーションプログラムを格納する。また、ＲＡＭ１３は、アプリケーションプログラムの実行に必要なデータ及びアプリケーションプログラムの実行結果などを格納してもよい。 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.
　ＮＶＭ１４は、データの書き込み及び書き換えが可能な不揮発性のメモリである。ＮＶＭ１４は、たとえば、ＨＤＤ（Hard Disk Drive）、ＳＳＤ（Solid State Drive）、ＥＥＰＲＯＭ（登録商標）又はフラッシュメモリなどにから構成される。ＮＶＭ１４は、情報処理装置１０の運用用途に応じて制御プログラム、アプリケーション、及び種々のデータなどを格納する。 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.
　検出装置インターフェース１５は、検出装置２０とデータを送受信するためのインターフェースである。検出装置インターフェース１５は、有線又は無線回線を介して検出装置２０と接続する。たとえば、検出装置インターフェース１５は、ＬＡＮ接続、ＵＳＢ接続又はｂｌｕｅｔｏｏｔｈ（登録商標）による接続をサポートするものであってもよい。 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. For example, the detection device interface 15 may support a LAN connection, a USB connection, or a connection via Bluetooth (registered trademark).
　操作部１６は、たとえば、キーボード、テンキー及びタッチパネルから構成される。操作部１６は、情報処理装置１０のオペレータが入力した種々の操作指示を取り込み、オペレータに入力された操作指示を表す信号をプロセッサ１１へ送信する。 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.
　表示部１７は、たとえば液晶モニタから構成される。表示部１７は、プロセッサ１１の制御により種々の情報を表示する。なお、操作部１６がタッチパネルなどで構成される場合、表示部１７は、操作部１６と一体的に形成されてもよい。 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. When 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.
　次に、検出装置２０について説明する。　
　図３は、実施形態に係る検出装置２０の構成例を示すブロック図である。
　図３が示す構成例において、検出装置２０は、プロセッサ２１、メモリ２２、通信部２３、操作部２４、表示部２５、生体センサ２６、加速度センサ２７及び環境センサ２８などを備える。これらの各部は、データバスを介して互いに接続される。なお、検出装置２０は、図３が示すような構成の他に必要に応じた構成を具備したり、特定の構成を除外したりしてもよい。 Next, the detection device 20 will be described.
FIG. 3 is a block diagram illustrating a configuration example of the detection apparatus 20 according to the embodiment.
In the configuration example illustrated in FIG. 3, 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. Note that 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.
　プロセッサ２１は、検出装置２０全体の動作を制御する機能を有する。プロセッサ２１は、内部キャッシュおよび各種のインターフェースなどを備えてもよい。プロセッサ２１は、内部メモリ又はメモリ２２が予め記憶するプログラムを実行することにより種々の処理を実現する。 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.
　なお、プロセッサ２１がプログラムを実行することにより実現する各種の機能のうちの一部は、ハードウエア回路により実現されるものであってもよい。この場合、プロセッサ２１は、ハードウエア回路により実行される機能を制御する。 Note that some of the various functions realized by the processor 21 executing the program may be realized by a hardware circuit. In this case, the processor 21 controls a function executed by the hardware circuit.
　メモリ２２は、種々のデータを揮発又は不揮発に格納する。たとえば、メモリ２２は、プロセッサ２１の処理中のデータなどを一時的に格納する。また、メモリ２２は、検出装置２０の運用用途に応じて制御プログラム、アプリケーション、及び種々のデータを格納する。メモリ２２は、ユーザの生体情報、加速度情報又は環境情報などを一時的又は非一時的に格納する。 The memory 22 stores various data in a volatile or non-volatile manner. For example, the memory 22 temporarily stores data being processed by the processor 21. Further, 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.
　通信部２３は、情報処理装置１０とデータを送受信するためのインターフェースである。たとえば、通信部２３は、有線又は無線回線を介して情報処理装置１０と接続する。たとえば、通信部２３は、ＬＡＮ接続、ＵＳＢ接続又はｂｌｕｅｔｏｏｔｈによる接続をサポートするものであってもよい。 The communication unit 23 is an interface for transmitting and receiving data to and from the information processing apparatus 10. For example, the communication unit 23 is connected to the information processing apparatus 10 via a wired or wireless line. For example, the communication unit 23 may support a LAN connection, a USB connection, or a connection by Bluetooth.
　操作部２４は、たとえば、キーボード、テンキー及びタッチパネルから構成される。操作部２４は、検出装置２０を装着するユーザが入力した種々の操作指示を取り込み、当該操作指示を表す信号をプロセッサ２１へ出力する。 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.
　表示部２５は、たとえば液晶モニタから構成される。表示部２５は、プロセッサ２１の制御により種々の情報を表示する。なお、操作部２４がタッチパネルなどで構成される場合、表示部２５は、操作部２４と一体的に形成されてもよい。 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. When 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.
　生体センサ２６は、測定対象とする生体情報を測定するためのセンサから構成される。生体センサ２６は、連続又は所定の時間間隔でユーザの生体に関する生体情報を測定する。生体センサ２６は、少なくとも血圧を測定する血圧センサ２６１を含む。なお、生体センサ２６は、心拍を測定する心拍センサ、心電図を測定する心電センサ、脈波を測定する脈波センサ、脈拍を測定する脈拍センサ、体温を測定する体温センサ又は発汗状態を測定する発汗センサなどを含むものであってもよい。また、生体センサ２６は、頭部に設置され脳波を測定するセンサを備えてもよい。 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. In addition, the biological sensor 26 may include a sensor that is installed on the head and measures brain waves.
　血圧センサ２６１は、生体情報として、ユーザの血圧を測定するセンサである。たとえば、血圧センサ２６１は、ユーザの心拍の一拍ごと（連続的）に血圧を測定可能な血圧センサ（以降、連続型の血圧センサと称する）であってもよい。連続型の血圧センサは、脈波伝播時間（ＰＴＴ；Ｐｕｌｓｅ　Ｔｒａｎｓｉｔ　Ｔｉｍｅ）からユーザの血圧を連続測定するものであってもよいし、トノメトリ法または他の技法により連続測定を実現してもよい。また、血圧センサ２６１は、非連続的に血圧を測定する非連続型の血圧センサであってもよい。非連続型の血圧センサは、たとえば、カフを圧力センサとして用いてユーザの血圧を測定するものであってもよい（オシロメトリック法）。なお、血圧センサ２６１は、特定の構成に限定されるものではない。 The blood pressure sensor 261 is a sensor that measures a user's blood pressure as biological information. For example, 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. For example, 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.
　また、血圧センサ２６１以外の各センサも、連続又は所定の時間間隔でユーザの生体情報を測定する。すなわち、生体センサ２６を構成する各センサは、心臓が一拍鼓動するごと（連続的）に生体情報を測定してもよいし、所定の時間間隔で生体情報を測定してもよい。 Further, 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.
　また、生体センサ２６を構成する各センサは、測定結果を示す測定値（生体情報の状態を示す値（生体情報の測定値））をプロセッサ２１へ出力する。たとえば、生体センサ２６の各センサは、生体情報を測定する度に測定した生体情報の測定値をプロセッサ２１へ出力してもよい。また、生体センサ２６の各センサは、所定の時間間隔で生体情報の測定値をプロセッサ２１へ送信してもよい。また、生体センサ２６は、バッファ用のメモリを有し、所定の時間間隔内で測定した生体情報の測定値をまとめてプロセッサ２１へ出力してもよい。 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. For example, 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. In addition, each sensor of the biosensor 26 may transmit a measurement value of biometric information to the processor 21 at a predetermined time interval. Further, 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.
　加速度センサ２７は、加速度センサ２７が受ける加速度を検出する。たとえば、加速度センサ２７は、ユーザの手首に生じる３軸の加速度情報を検出する。加速度センサ２７は、加速度の測定値を示す加速度情報をプロセッサ２１へ出力する。 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.
　環境センサ２８は、連続又は所定の時間間隔でユーザの周辺の環境を示す環境情報を測定する。たとえば、環境センサ２８は、環境情報としての気温を測定する気温センサ２８１を含む。なお、環境センサ２８は、湿度を測定する湿度センサ、気圧を測定する気圧センサ、照度を測定する照度センサ、音を測定するマイクなどを備えてもよい。 The environmental sensor 28 measures environmental information indicating the environment around the user continuously or at predetermined time intervals. For example, 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.
　気温センサ２８１は、サーミスタ、熱電対又は赤外線センサなどから構成される。気温センサ２８１は、ユーザの周辺の気温を測定する。また、気温センサ２８１は、検知部が実際に測定する値をユーザの体温の影響に応じて補正した値を気温の測定値として出力するものであってもよい。気温センサ２８１の構成は、特定の構成に限定されるものではない。なお、プロセッサ２１が気温センサ２８１の測定値をユーザの体温の影響に応じて補正することにより気温を測定してもよい。 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.
　また、環境センサ２８の各センサは、測定結果を示す値（環境状態を示す値（環境情報の測定値））をプロセッサ２１へ出力する。たとえば、環境センサ２８は、環境情報を測定する度に当該環境情報の測定値をプロセッサ２１へ出力してもよい。また、環境センサ２８の各センサは、所定の時間間隔で環境情報の測定値をプロセッサ２１へ送信してもよい。たとえば、環境センサ２８は、バッファメモリを有し、所定の間隔内で測定した環境情報の測定値をまとめてプロセッサ２１へ送信してもよい。 Further, 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. For example, the environment sensor 28 may output a measurement value of the environment information to the processor 21 every time the environment information is measured. In addition, each sensor of the environmental sensor 28 may transmit a measurement value of environmental information to the processor 21 at a predetermined time interval. For example, 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.
　なお、検出装置２０は、ジャイロセンサなどを備えてもよい。たとえば、ジャイロセンサは、３軸方向の回転を検出し、検出結果をプロセッサ２１へ送信する。 Note that the detection device 20 may include a gyro sensor or the like. For example, the gyro sensor detects the rotation in the three axis directions and transmits the detection result to the processor 21.
　次に、検出装置２０のプロセッサ２１が実現する機能について説明する。
　まず、プロセッサ２１は、生体センサ２６の各センサから生体情報を取得する機能を有する。たとえば、プロセッサ２１は、血圧センサ２６１から生体情報として血圧の測定値（血圧値）を取得する。 Next, functions realized by the processor 21 of the detection device 20 will be described.
First, the processor 21 has a function of acquiring biological information from each sensor of the biological sensor 26. For example, the processor 21 acquires a blood pressure measurement value (blood pressure value) from the blood pressure sensor 261 as biological information.
　たとえば、プロセッサ２１は、血圧センサ２６１に対して血圧値を取得するコマンドを送信し、当該コマンドに対するレスポンスとして血圧値を取得する。また、プロセッサ２１は、血圧センサ２６１が所定のタイミングで送信する血圧値を取得してもよい。なお、プロセッサ２１は、生体センサ２６から、生体情報の測定値として、心拍、心電、脈波、脈拍、体温、発汗又は脳波の測定値を取得してもよい。 For example, 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. Note that 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.
　また、プロセッサ２１は、加速度センサ２７から３軸方向の加速度情報を取得する機能を有する。　
　たとえば、プロセッサ２１は、加速度センサ２７に対して加速度情報を取得するコマンドを送信し、当該コマンドに対するレスポンスとして加速度情報を取得する。また、プロセッサ２１は、加速度センサ２７が所定のタイミングで送信する加速度情報を取得してもよい。 Further, 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.
　また、プロセッサ２１は、環境センサ２８から環境情報を取得する機能を有する。たとえば、プロセッサ２１は、気温センサ２８１から環境情報の測定値として気温を取得する。 Further, 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.
　たとえば、プロセッサ２１は、気温センサ２８１に対して気温を取得するコマンドを送信し、当該コマンドに対するレスポンスとして気温を取得する。また、プロセッサ２１は、気温センサ２８１が所定のタイミングで送信する気温を取得してもよい。プロセッサ２１は、環境センサ２８から、環境情報の測定値として、湿度、気圧、照度又は音の状態を示す値を取得してもよい。 For example, 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.
　また、プロセッサ２１は、生体情報、加速度情報及び環境情報を情報処理装置１０へ送信する機能を有する。　
　たとえば、プロセッサ２１は、通信部２３を通じて生体情報、加速度情報及び環境情報を情報処理装置１０へ送信する。 The processor 21 has a function of transmitting biological information, acceleration information, and environment information to the information processing apparatus 10.
For example, the processor 21 transmits biological information, acceleration information, and environment information to the information processing apparatus 10 through the communication unit 23.
　たとえば、プロセッサ２１は、通信部２３を通じて生体情報、加速度情報及び環境情報のリクエストを情報処理装置１０から受信すると、当該リクエストに対するレスポンスとして生体情報、加速度情報及び環境情報を送信する。また、プロセッサ２１は、通信部２３を通じて、所定のタイミングで生体情報、加速度情報及び環境情報を情報処理装置１０へ送信してもよい。 For example, 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.
　また、プロセッサ２１は、生体情報、加速度情報及び環境情報に時刻を示す時刻情報を含めてもよい。たとえば、プロセッサ２１は、生体情報の測定値、加速度情報の測定値及び環境情報の測定値を測定した時刻を示す時刻情報をそれぞれ生体情報、加速度情報及び環境情報に含めてもよい。　
　また、プロセッサ２１は、生体センサ２６、加速度センサ２７及び環境センサ２８から各測定値が測定された時刻を示す時刻情報を取得してもよい。 Further, the processor 21 may include time information indicating time in the biological information, acceleration information, and environment information. For example, 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.
Further, 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.
　なお、プロセッサ２１は、加速度情報及び環境情報の何れか又は両者を情報処理装置１０へ送信しなくともよい。また、プロセッサ２１は、他の情報を情報処理装置１０へ送信してもよい。 Note that the 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.
　次に、情報処理装置１０のプロセッサ１１が実現する機能について説明する。　
　図４は、情報処理装置１０が実現する機能を示すブロック図である。図４が示すように、情報処理装置１０は、コンテンツ情報取得部３１、生体情報取得部３２、加速度情報取得部３３、環境情報取得部３４、判定部３５及び評価部３６などを備える。コンテンツ情報取得部３１、生体情報取得部３２、加速度情報取得部３３、環境情報取得部３４、判定部３５及び評価部３６は、プロセッサ１１がＮＶＭ１４などに格納されるプログラムを実行することによって実現される。 Next, functions realized by the processor 11 of the information processing apparatus 10 will be described.
FIG. 4 is a block diagram illustrating functions realized by the information processing apparatus 10. As illustrated in FIG. 4, 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
　まず、プロセッサ１１は、コンテンツ情報取得部３１として、コンテンツ提供装置４０が提供するコンテンツを特定するコンテンツ情報を取得する機能を有する。　
　たとえば、プロセッサ１１は、コンテンツ提供装置４０からコンテンツ情報を取得する。また、プロセッサ１１は、操作部１６を通じてオペレータなどからコンテンツ情報の入力を受け付けてもよい。 First, 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.
For example, the processor 11 acquires content information from the content providing device 40. Further, the processor 11 may accept input of content information from an operator or the like through the operation unit 16.
　また、プロセッサ１１は、生体情報取得部３２として、生体情報を取得する機能を有する。プロセッサ１１は、検出装置インターフェース１５を通じて検出装置２０から生体情報を取得する。たとえば、プロセッサ１１は、検出装置インターフェース１５を通じて生体情報のリクエストを検出装置２０へ送信し、当該リクエストに対するレスポンスとして生体情報を受信する。また、プロセッサ１１は、検出装置インターフェース１５を通じて検出装置２０が所定のタイミングで送信する生体情報を受信してもよい。　
　たとえば、プロセッサ１１は、一拍ごとに測定された生体情報を取得してもよい。　
　また、プロセッサ１１は、複数のユーザの生体情報を取得してもよい。 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.
　また、プロセッサ１１は、加速度情報取得部３３として、加速度情報を取得する機能を有する。プロセッサ１１は、検出装置インターフェース１５を通じて検出装置２０から加速度情報を取得する。たとえば、プロセッサ１１は、検出装置インターフェース１５を通じて加速度情報のリクエストを検出装置２０へ送信し、当該リクエストに対するレスポンスとして加速度情報を受信する。また、プロセッサ１１は、検出装置インターフェース１５を通じて検出装置２０が所定のタイミングで送信する加速度情報を受信してもよい。　
　また、プロセッサ１１は、一拍ごとに測定された加速度情報を取得してもよい。　
　また、プロセッサ１１は、複数のユーザの加速度情報を取得してもよい。 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.
　また、プロセッサ１１は、環境情報取得部３４として、環境情報を取得する機能を有する。プロセッサ１１は、検出装置インターフェース１５を通じて検出装置２０から環境情報を取得する。たとえば、プロセッサ１１は、検出装置インターフェース１５を通じて環境情報のリクエストを検出装置２０へ送信し、当該リクエストに対するレスポンスとして環境情報を受信する。また、プロセッサ１１は、検出装置インターフェース１５を通じて検出装置２０が所定のタイミングで送信する環境情報を受信してもよい。 Further, 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. For example, 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. Further, the processor 11 may receive environment information transmitted from the detection device 20 through the detection device interface 15 at a predetermined timing.
　なお、プロセッサ１１は、検出装置２０以外の装置から環境情報を取得してもよい。たとえば、判定システム１は、環境情報を測定する測定装置を所定の位置に備えてもよい。たとえば、測定装置は、温度センサなどを備えてもよい。たとえば、プロセッサ１１は、温度などの測定値を示す環境情報を測定装置から取得してもよい。　
　また、プロセッサ１１は、一拍ごとに測定された環境情報を取得してもよい。　
　また、プロセッサ１１は、複数のユーザの環境情報を取得してもよい。 The processor 11 may acquire environmental information from a device other than the detection device 20. For example, the determination system 1 may include a measurement device that measures environmental information at a predetermined position. For example, the measurement device may include a temperature sensor. For example, 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.
　なお、プロセッサ１１は、生体情報取得部３２、加速度情報取得部３３及び環境情報取得部３４を同時に実現してもよい。たとえば、プロセッサ１１は、検出装置２０から生体情報、加速度情報及び環境情報を同時に取得してもよい。たとえば、プロセッサ１１は、各情報を取得するためのリクエストを検出装置２０に送信してもよい。　
　また、プロセッサ１１は、加速度情報及び環境情報の何れか又は両者を取得しなくともよい。 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.
　また、プロセッサ１１は、判定部３５として、コンテンツ提供装置４０が提供するコンテンツを享受するユーザの興奮度を判定する機能を有する。たとえば、プロセッサ１１は、生体情報、加速度情報又は環境情報を取得する度に、ユーザの興奮度を判定する。また、プロセッサ１１は、所定の時間間隔でユーザの興奮度を判定してもよい。 In addition, 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.
　たとえば、プロセッサ１１は、生体情報が示す血圧値に基づいて興奮度を判定する。この場合、プロセッサ１１は、血圧値が高いと興奮度も高いと判定する。また、プロセッサ１１は、所定の閾値（たとえば、ユーザに固有の平均的な血圧値）と血圧値とを比較して興奮度を判定してもよい。また、プロセッサ１１は、過去の血圧値（たとえば、直近の所定の期間の血圧値）と現在の血圧値とを比較して興奮度を判定してもよい。また、プロセッサ１１は、連続的に測定する血圧値の変動によって興奮度を判定してもよい。この場合、プロセッサ１１は、たとえば血圧値が上昇すればするほど、興奮度が高いと判定する。 For example, 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.
　また、プロセッサ１１は、生体情報としての心拍数（所定時間当たりの心拍数）に基づいて興奮度を判定してもよい。この場合、プロセッサ１１は、心拍数が高いと興奮度も高いと判定する。また、プロセッサ１１は、所定の閾値（たとえば、ユーザに固有の平均的な心拍数）と心拍数とを比較して興奮度を判定してもよい。また、プロセッサ１１は、過去の心拍数（たとえば、直近の所定の期間の心拍数）と現在の心拍数とを比較して興奮度を判定してもよい。また、プロセッサ１１は、連続的に測定する心拍数の変動によって興奮度を判定してもよい。この場合、プロセッサ１１は、心拍数が上昇すればするほど、興奮度が高いと判定する。 Further, 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.
　また、プロセッサ１１は、生体情報としての心電、脈波、脈拍、体温、発汗又は脳波などに基づいて興奮度を判定してもよい。 Further, 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.
　さらに、プロセッサ１１は、生体情報に加えて、加速度情報を加味して興奮度を判定してもよい。この場合、プロセッサ１１は、加速度情報が示す加速度が大きいと興奮度も高いと判定する。また、プロセッサ１１は、所定の閾値（たとえば、ユーザに固有の平均的な加速度）と加速度とを比較して興奮度を判定してもよい。また、プロセッサ１１は、過去の加速度（たとえば、直近の所定の期間の加速度）と現在の加速度とを比較して興奮度を判定してもよい。 Furthermore, 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.
　また、プロセッサ１１は、生体情報に加えて、環境情報を加味して興奮度を判定してもよい。たとえば、プロセッサ１１は、環境情報が示す気温に基づいて興奮度を判定する。血圧値が気温の変化に応じて変化することが知られているため、プロセッサ１１は、血圧値の変化（たとえば、上昇）が気温の変化（たとえば、気温の低下）に連動している場合には、血圧値の変化が気温の変化によるものと判定する。すなわち、プロセッサ１１は、気温の変動によって生じると推定される血圧値の変化分によって、血圧センサ２６１が実際に測定する血圧の測定値を補正して興奮度を判定する。たとえば、プロセッサ１１は、血圧値の変化から生じる興奮度の上昇又は下降を少なく（又は、興奮度の上昇又は下降がないと）判定する。 Further, 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).
　なお、プロセッサ１１は、環境情報が示す湿度、気圧、照度又は音など基づいて興奮度を判定してもよい。 Note that the processor 11 may determine the degree of excitement based on humidity, atmospheric pressure, illuminance, sound, or the like indicated by the environmental information.
　また、プロセッサ１１は、各測定値を引数とする評価関数を用いて興奮度を算出してもよい。たとえば、プロセッサ１１は、各測定値を評価関数に代入して興奮度を算出してもよい。 Further, 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.
　また、プロセッサ１１は、加速度情報及び環境情報の何れか又は何れも用いずに興奮度を算出してもよい。　
　また、プロセッサ１１は、複数のユーザについての生体情報、加速度情報及び環境情報に基づいて、複数のユーザの興奮度をそれぞれ判定してもよい。 Further, 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.
　プロセッサ１１が興奮度を判定する方法は、特定の方法に限定されるものではない。 The method by which the processor 11 determines the degree of excitement is not limited to a specific method.
　また、プロセッサ１１は、評価部３６として、ユーザの興奮度に基づいて、コンテンツ情報が特定するコンテンツの興奮度を示す評価値を決定する機能を有する。　
　たとえば、プロセッサ１１は、ユーザがコンテンツを享受している間における興奮度の平均値を当該コンテンツの評価値としてもよい。また、プロセッサ１１は、興奮度の最大値をコンテンツの評価値としてもよい。 Moreover, 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.
　また、プロセッサ１１は、複数のユーザの興奮度に基づいてコンテンツの評価値を決定してもよい。たとえば、プロセッサ１１は、ユーザがコンテンツを享受している間において各ユーザの興奮度の平均値を算出し各ユーザの興奮度に平均値をさらに平均した値をコンテンツの評価値としてもよい。 Further, 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.
　また、プロセッサ１１は、各ユーザの興奮度の最大値の平均値をコンテンツの評価値としてもよい。　
　プロセッサ１１が評価値を決定する方法は、特定の方法に限定されるものではない。 Further, 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.
　なお、プロセッサ１１は、表示部１７に評価値を表示してもよい。また、プロセッサ１１は、外部装置へ評価値を送信してもよい。また、プロセッサ１１は、評価値をＮＶＭ１４に格納してもよい。 Note that the 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.
　次に、情報処理装置１０の動作例について説明する。　
　図５は、情報処理装置１０の動作例について説明するためのフローチャートである。　
　まず、情報処理装置１０のプロセッサ１１は、コンテンツ提供装置４０がユーザに提供するコンテンツを特定するコンテンツ情報を取得する（Ｓ１１）。 Next, an operation example of the information processing apparatus 10 will be described.
FIG. 5 is a flowchart for explaining an operation example of the information processing apparatus 10.
First, 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).
　コンテンツ情報を取得すると、プロセッサ１１は、コンテンツ提供装置４０がコンテンツの提供を開始したか判定する（Ｓ１２）。たとえば、プロセッサ１１は、コンテンツ提供装置４０からコンテンツの提供を開始したことを示す信号を受信し、当該信号の受信を検出したことによりコンテンツの提供を開始したと判定する。また、プロセッサ１１は、操作部１６を通じてコンテンツ提供装置４０がコンテンツの提供を開始したことを示す操作の入力を受け付けてもよい。 When the content information is acquired, 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.
　コンテンツ提供装置４０がコンテンツの提供を開始していないと判定すると（Ｓ１２、ＮＯ）、プロセッサ１１は、Ｓ１２に戻る。 If it is determined that the content providing device 40 has not started providing content (S12, NO), the processor 11 returns to S12.
　コンテンツ提供装置４０がコンテンツの提供を開始したと判定すると（Ｓ１２、ＹＥＳ）、プロセッサ１１は、検出装置２０などを用いて、生体情報、加速度情報及び環境情報を取得する（Ｓ１３）。 If it is determined that the content providing device 40 has started providing content (S12, YES), the processor 11 acquires biological information, acceleration information, and environmental information using the detection device 20 or the like (S13).
　生体情報、加速度情報及び環境情報を取得すると、プロセッサ１１は、生体情報、加速度情報及び環境情報などに基づいて、ユーザの興奮度を判定する（Ｓ１４）。ユーザの興奮度を判定すると、プロセッサ１１は、判定した興奮度をＮＶＭ１４などに格納する（Ｓ１５）。 When the biological information, acceleration information, and environment information are acquired, the processor 11 determines the degree of user excitement based on the biological information, acceleration information, environment information, and the like (S14). When the user's excitement level is determined, the processor 11 stores the determined excitement level in the NVM 14 or the like (S15).
　興奮度をＮＶＭ１４などに格納すると、プロセッサ１１は、コンテンツ提供装置４０がコンテンツの提供を終了したか判定する（Ｓ１６）。たとえば、プロセッサ１１は、コンテンツ提供装置４０からコンテンツの提供を終了したことを示す信号を受信し、当該信号の受信を検出したことによりコンテンツの提供を終了したと判定する。また、プロセッサ１１は、操作部１６を通じてコンテンツ提供装置４０がコンテンツの提供を終了したことを示す操作の入力を受け付けてもよい。 When the excitement level is stored in the NVM 14 or the like, 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.
　コンテンツ提供装置４０がコンテンツの提供を終了していないと判定すると（Ｓ１６、ＮＯ）、プロセッサ１１は、Ｓ１３に戻る。　
　コンテンツ提供装置４０がコンテンツの提供を終了したと判定すると（Ｓ１６、ＹＥＳ）、プロセッサ１１は、ＮＶＭ１４などに格納した興奮度に基づいてコンテンツ情報が特定するコンテンツの評価値を決定する（Ｓ１７）。コンテンツの評価値を決定すると、プロセッサ１１は、動作を終了する。 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.
　なお、プロセッサ１１は、コンテンツの提供の開始前又は終了後においてもユーザの興奮度を判定してもよい。　
　また、プロセッサ１１は、判定した興奮度を検出装置２０へ送信してもよい。検出装置２０のプロセッサ２１は、受信した興奮度を表示部２５に表示してもよい。 Note that 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.
　また、検出装置２０は、情報処理装置１０の機能を備えていてもよい。　
　この場合、検出装置２０のプロセッサ２１は、生体情報などに基づいてユーザの興奮度を判定する。プロセッサ２１は、通信部２３などを通じて判定された興奮度を情報処理装置１０へ送信する。情報処理装置１０は、受信した興奮度に基づいてコンテンツの評価値を決定する。 Further, the detection device 20 may have the function of the information processing device 10.
In this case, 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.
　また、検出装置２０のプロセッサ２１は、ユーザの興奮度を判定しコンテンツの評価値を決定してもよい。プロセッサ２１は、通信部２３などを通じて当該評価値を情報処理装置１０へ送信してもよい。 Further, 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.
　また、プロセッサ１１は、コンテンツの提供の終了後に、ユーザの興奮度を判定しコンテンツの評価値を決定してもよい。たとえば、プロセッサ１１は、コンテンツ提供中におけるユーザの生体情報、加速度情報及び環境情報を取得する。たとえば、プロセッサ１１は、ＮＶＭ１４から生体情報、加速度情報及び環境情報を取得する。また、プロセッサ１１は、外部装置から生体情報、加速度情報及び環境情報を取得してもよい。プロセッサ１１は、取得した生体情報、加速度情報及び環境情報に基づいてコンテンツ提供中の興奮度を判定する。プロセッサ１１は、判定した興奮度に基づいてコンテンツの評価値を決定する。 Further, 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.
　以上述べたように一実施形態によれば、情報処理装置は、ユーザの少なくとも血圧を含む生体情報に基づいてコンテンツによって生じた興奮度を判定する。そのため、情報処理装置は、客観的な指標に基づいてユーザの興奮度を判定することができる。（応用例１）
　次に、一実施形態に係る情報処理装置１０の応用例について説明する。　
　ここでは、情報処理装置１０のプロセッサ１１は、映画、ドラマ又はテレビ番組などの動画コンテンツから生じた興奮度を判定するものとする。 As described above, according to one embodiment, 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.
　プロセッサ１１は、時系列の興奮度に基づいて動画コンテンツの推奨シーンを特定する（シーン特定部）。推奨シーンは、興奮度が高いシーンである。即ち、推奨シーンは、ユーザに高い興奮度を生じさせる。たとえば、推奨シーンは、興奮度が所定の閾値を超える期間を含んだシーンである。 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. For example, the recommended scene is a scene including a period in which the degree of excitement exceeds a predetermined threshold.
　図６は、動画コンテンツから生じた興奮度を示すグラフの例である。図６において、横軸は、時間を示す。また、縦軸は、興奮度を示す。　
　図６が示す例では、動画コンテンツは、所定の閾値を超える興奮度が生じた期間を有する。　
　プロセッサ１１は、推奨シーンとして、当該期間を含むシーン（シーンＡ及びシーンＢ）を特定する。 FIG. 6 is an example of a graph showing the degree of excitement generated from the moving image content. In FIG. 6, the horizontal axis represents time. The vertical axis indicates the degree of excitement.
In the example illustrated in FIG. 6, 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.
　なお、プロセッサ１１は、所定の閾値を超える興奮度が生じた期間を推奨シーンとして特定してもよい。また、プロセッサ１１は、興奮度が所定の閾値を超える期間を含んだ所定の期間（たとえば、当該期間を含むカットなど）を推奨シーンとして特定してもよい。
　プロセッサ１１が推奨シーンを特定する方法は、特定の方法に限定されるものではない。 Note that 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.
　以上のように構成された情報処理装置は、動画コンテンツにおいて高い興奮度を生じさせる推奨シーンを特定する。その結果、情報処理装置は、より興奮するシーンをユーザに提示することができる。（応用例２）
　次に、一実施形態に係る情報処理装置１０の他の応用例について説明する。　
　ここでは、情報処理装置１０のプロセッサ１１は、映画、ドラマ又はテレビ番組などの動画コンテンツの評価値を決定するものとする。 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.
　プロセッサ１１は、複数の動画コンテンツの評価値に基づいて、評価値のランキングを作成する。たとえば、プロセッサ１１は、複数の動画コンテンツからそれぞれ生じた興奮度を判定する。プロセッサ１１は、複数の動画コンテンツから生じた興奮度に基づいて、各動画コンテンツの評価値を決定する。　
　プロセッサ１１は、評価値を昇順に並べ替えて、各動画コンテンツの評価値に基づくランキング（評価値ランキング）を生成する（ランキング生成部）。 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).
　図７は、評価値ランキングの構成例を示す。図７が示すように、評価値ランキングは、順位、コンテンツ及び評価値を対応付けて表示する。 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.
　順位は、評価値の順位である。　
　コンテンツは、コンテンツの名称を示す。　
　評価値は、対応するコンテンツの評価値を示す。　
　なお、評価値ランキングの構成は、特定の構成に限定されるものではない。 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.
　以上のように構成された情報処理装置は、複数の動画コンテンツに関して評価値のランキングを生成する。その結果、情報処理装置は、より高い興奮度を生じさせる動画コンテンツをランキング形式でユーザに提示することができる。 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.
　なお、本発明は、上記実施形態に限定されるものではなく、実施段階ではその要旨を逸脱しない範囲で種々に変形することが可能である。また、各実施形態は適宜組み合わせて実施してもよく、その場合組み合わせた効果が得られる。更に、上記実施形態には種々の発明が含まれており、開示される複数の構成要件から選択された組み合わせにより種々の発明が抽出され得る。たとえば、実施形態に示される全構成要件からいくつかの構成要件が削除されても、課題が解決でき、効果が得られる場合には、この構成要件が削除された構成が発明として抽出され得る。 In addition, 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.
　上記実施形態の一部または全部は、以下の付記のようにも記載され得るが、以下には限られるものではない。　
　（付記１）
　メモリと
　前記メモリに格納されるプログラムで動作するプロセッサと、を備え、
　前記プロセッサは、
　　少なくとも血圧を含む生体情報を測定する検出装置から、コンテンツを享受するユーザの生体情報を取得し、
　　前記生体情報に基づいて、前記ユーザの興奮度を判定する、情報処理装置。 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.
　（付記２）
　プロセッサによって実行される情報処理方法であって、
　　少なくとも血圧を含む生体情報を測定する検出装置から、コンテンツを享受するユーザの生体情報を取得し、
　　前記生体情報に基づいて、前記ユーザの興奮度を判定する、情報処理方法。 (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.

Claims (11)

  1. 　少なくとも血圧を含む生体情報を測定する検出装置から、コンテンツを享受するユーザの生体情報を取得する生体情報取得部と、
    　前記生体情報取得部により取得された前記生体情報に基づいて、前記ユーザの興奮度を判定する判定部と、を備える情報処理装置。     A biometric information acquisition unit that acquires biometric information of a user who enjoys content from a detection device that measures biometric information including at least blood pressure;
    An information processing apparatus comprising: a determination unit that determines the degree of excitement of the user based on the biological information acquired by the biological information acquisition unit.
  2. 　前記生体情報取得部は、前記検出装置が前記ユーザの心拍の一拍ごとに測定した生体情報を取得する、請求項１に記載の情報処理装置。 The information processing apparatus according to claim 1, wherein the biological information acquisition unit acquires biological information measured by the detection device for each beat of the user's heartbeat.
  3. 　前記判定部により判定された前記ユーザの興奮度に基づいて、前記コンテンツの評価値を決定する評価部を、さらに備える、請求項１又は２に記載の情報処理装置。 The information processing apparatus according to claim 1, further comprising 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.
  4. 　前記検出装置から、環境状態を示す環境情報を取得する環境情報取得部を、さらに備え、
    　前記判定部は、前記環境情報取得部により取得された前記環境情報を加味して前記ユーザの興奮度を判定する、請求項１乃至３の何れか１項に記載の情報処理装置。     An environmental information acquisition unit that acquires environmental information indicating an environmental state from the detection device;
    The information processing apparatus according to claim 1, wherein the determination unit determines the degree of excitement of the user in consideration of the environment information acquired by the environment information acquisition unit.
  5. 　前記検出装置から、前記ユーザの体の一部に生じた加速度を示す加速度情報を取得する加速度情報取得部を、さらに備え、
    　前記判定部は、前記加速度情報取得部により取得された前記加速度情報を加味して前記ユーザの興奮度を判定する、請求項１乃至４の何れか１項に記載の情報処理装置。     An acceleration information acquisition unit that acquires acceleration information indicating acceleration generated in a part of the user's body from the detection device;
    The information processing apparatus according to any one of claims 1 to 4, wherein the determination unit determines the degree of excitement of the user in consideration of the acceleration information acquired by the acceleration information acquisition unit.
  6. 　前記生体情報取得部は、複数のユーザの生体情報をそれぞれ取得し、
    　前記判定部は、前記生体情報取得部により取得された前記複数のユーザの生体情報に基づいて、前記複数のユーザの興奮度をそれぞれ判定し、
    　前記評価部は、前記判定された複数のユーザの興奮度に基づいて前記コンテンツの評価値を決定する、請求項３に記載の情報処理装置。     The biometric information acquisition unit acquires biometric information of a plurality of users,
    The determination unit determines the degree of excitement of the plurality of users based on the biological information of the plurality of users acquired by the biological information acquisition unit,
    The information processing apparatus according to claim 3, wherein the evaluation unit determines an evaluation value of the content based on the determined degrees of excitement of the plurality of users.
  7. 　前記コンテンツは、動画コンテンツであり、
    　前記ユーザの興奮度に基づいて、興奮度が所定の閾値を超える期間を含むシーンを特定するシーン特定部を、さらに備える、請求項１乃至６の何れか１項に記載の情報処理装置。     The content is video content,
    The information processing apparatus according to claim 1, further comprising a scene specifying unit that specifies a scene including a period in which the degree of excitement exceeds a predetermined threshold based on the degree of excitement of the user.
  8. 　前記評価部は、複数のコンテンツの評価値を決定し、
    　前記複数のコンテンツの評価値に基づくランキングを生成するランキング生成部を、さらに備える、前記請求項３又は６に記載の情報処理装置。     The evaluation unit determines evaluation values of a plurality of contents,
    The information processing apparatus according to claim 3, further comprising a ranking generation unit that generates a ranking based on the evaluation values of the plurality of contents.
  9. 　情報処理装置が、少なくとも血圧を含む生体情報を測定する検出装置から、コンテンツを享受するユーザの生体情報を取得する過程と、
    　前記情報処理装置が、前記取得された生体情報に基づいて前記ユーザの興奮度を判定する過程とを備える情報処理方法。     A process in which an information processing device acquires biological information of a user who enjoys content from a detection device that measures biological information including at least blood pressure;
    An information processing method comprising: the information processing device determining a degree of excitement of the user based on the acquired biological information.
  10. 　前記情報処理装置が、前記判定する過程により判定された前記ユーザの興奮度に基づいて、前記コンテンツの評価値を決定する過程を、さらに備える、請求項９に記載の情報処理方法。 10. The information processing method according to claim 9, further comprising: a step of determining an evaluation value of the content based on the degree of excitement of the user determined by the determination process.
  11. 　請求項１乃至８のいずれかに記載の情報処理装置が備える各部としてプロセッサを機能させるプログラム。 A program that causes a processor to function as each unit included in the information processing apparatus according to any one of claims 1 to 8.
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