WO2022113380A1 - Système d'évaluation d'émotion, procédé d'évaluation d'émotion, et programme - Google Patents

Système d'évaluation d'émotion, procédé d'évaluation d'émotion, et programme Download PDF

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Publication number
WO2022113380A1
WO2022113380A1 PCT/JP2021/004907 JP2021004907W WO2022113380A1 WO 2022113380 A1 WO2022113380 A1 WO 2022113380A1 JP 2021004907 W JP2021004907 W JP 2021004907W WO 2022113380 A1 WO2022113380 A1 WO 2022113380A1
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value
emotion
user
determination
unit
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PCT/JP2021/004907
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English (en)
Japanese (ja)
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達雄 三舩
秀孝 箱田
紗也華 冨増
拓真 末武
侑未 世羅
咲 丸山
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パナソニックＩｐマネジメント株式会社
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Publication of WO2022113380A1 publication Critical patent/WO2022113380A1/fr

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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state

Definitions

  • the present disclosure generally relates to an emotion determination system, an emotion determination method and a program, and more particularly to an emotion determination system, an emotion determination method and a program for determining a user's emotion.
  • Patent Document 1 a system for determining user stress (emotion) is known (see, for example, Patent Document 1).
  • Patent Document 1 describes a technique for estimating the psychological state of a viewer (user) using a single biometric information sensor. More specifically, in Patent Document 1, the psychological state of the subject and its intensity are estimated from the measured values of the signals of a plurality of biological information and their initial values or standard values.
  • the present disclosure has been made in view of the above problems, and an object of the present disclosure is to provide an emotion determination system, an emotion determination method, and a program capable of determining a user's emotion more accurately.
  • the emotion determination system includes an acquisition unit and a determination unit.
  • the acquisition unit acquires an index value related to the user's emotion.
  • the determination unit weights the index value and determines the emotion of the user based on the weighted index value.
  • the emotion determination method includes an acquisition step and a determination step.
  • the acquisition step acquires an index value related to the user's emotion.
  • the index value is weighted, and the emotion of the user is determined based on the weighted index value.
  • the program according to one aspect of the present disclosure is a program for causing a computer to execute the emotion determination method.
  • FIG. 1 is a block diagram illustrating a configuration of an emotion determination system according to an embodiment.
  • FIG. 2 is a two-dimensional psychological model using comfort and arousal as indexes.
  • FIG. 3 is a flow chart illustrating the operation of the same emotion determination system.
  • FIG. 4 is a flow chart illustrating the operation of the determination process performed by the emotion determination system of the above.
  • the emotion determination system 1 determines the user's emotions.
  • the emotion determination device 10 as the emotion determination system 1 includes an acquisition unit 172 and a determination unit 173.
  • the acquisition unit 172 acquires an index value related to the user's emotion.
  • the determination unit 173 weights the index value acquired by the acquisition unit 172, and determines the user's emotion based on the weighted index value.
  • the emotion determination device 10 further includes a notification unit 174.
  • the notification unit 174 notifies the user of the determination result (user's emotion) of the determination unit 173.
  • the emotion determination device 10 is configured to be able to communicate with the sensor 20 and the camera 30.
  • the sensor 20 detects, for example, the vital value of the user.
  • the vital value includes, for example, at least one of the user's heart rate, heart rate variability coefficient, and autonomic nerve activity. That is, the sensor 20 detects at least one of the user's heart rate, heart rate variability coefficient, and autonomic nerve activity.
  • the autonomic nerve activity includes at least one of the parasympathetic nerve activity (HF) and the exchange nerve activity (LF / HF).
  • the camera 30 captures the user's face.
  • the emotion determination device 10 analyzes the user's facial expression using the image (face image) of the user's face taken by the camera 30.
  • the index value is a value obtained from at least one of the response result of the questionnaire to the user, the vital value of the user, and the facial expression analysis result for the user.
  • the emotion determination device 10 acquires each of the questionnaire response result, the user's vital value, and the facial expression analysis result for the user as index values.
  • a two-dimensional psychological model (for example, Russell's annulus model) using comfort and arousal as indexes is used as a model for expressing the emotions of the subject (see FIG. 2).
  • the X-axis indicates the degree of comfort and the Y-axis indicates the degree of arousal.
  • the comfort level of the X-axis is "positive" in the positive region of the X-axis and "negative” in the negative region of the X-axis.
  • the comfort level increases as the level (absolute value) in the positive region of the X-axis increases, and the comfort level decreases as the level (absolute value) in the negative region of the X-axis increases.
  • the positive region on the Y-axis is "high tension” and the negative region on the Y-axis is "low tension”.
  • the arousal degree increases as the level (absolute value) in the positive region of the Y-axis increases, and the arousal degree decreases as the level (absolute value) in the negative region of the Y-axis increases.
  • the user's emotions are classified according to the quadrant of the two-dimensional model. If it is the first quadrant Z1, it indicates that the emotion is a passion. If it is the second quadrant Z2, it indicates that the emotion is an impulse. If it is the third quadrant Z3, it indicates that the emotion is empty. If it is the fourth quadrant Z4, it indicates that the emotion is calm.
  • the determination unit 173 determines which of the above four quadrants the user's emotion is included in based on the weighted index value.
  • the index value includes a value on the Y-axis and a value on the X-axis. That is, the index value includes a first value indicating the degree of positiveness of the user and a second value indicating the degree of arousal (degree of tension) of the user.
  • the determination unit 173 weights each of the first value and the second value, and determines the user's emotion based on the weighted first value and the two-dimensional coordinates represented by the second value. ..
  • the emotion determination device 10 includes a communication unit 11, a storage unit 12, a display unit 13, an operation unit 14, a first input unit 15, a second input unit 16, and a control unit 17.
  • the emotion determination device 10 includes, for example, a microcomputer having a processor and a memory.
  • the computer system functions as the control unit 17 when the processor executes an appropriate program. That is, the control unit 17 is realized by a computer system having a processor and a memory.
  • the program may be pre-recorded in a memory, may be recorded through a telecommunication line such as the Internet, or may be recorded and provided on a non-temporary recording medium such as a memory card.
  • the communication unit 11 has a communication interface for communicating with an external device, for example, a device that controls a user's emotion using a determination result.
  • the communication unit 11 wirelessly communicates with an external device.
  • the communication unit 11 may perform wired communication with an external device.
  • the storage unit 12 is a semiconductor memory such as a ROM (ReadOnlyMemory), a RAM (RandomAccessMemory), or an EEPROM (ElectricallyErasableProgrammableReadOnlyMemory).
  • the storage unit 12 is not limited to the semiconductor memory, but may be a hard disk drive or the like.
  • the storage unit 12 may be provided in a device different from the emotion determination device 10, or may be provided in a server, cloud, or the like connected to the emotion determination device 10 via a network.
  • the storage unit 12 stores information (for example, a questionnaire) used for determining the user's emotions.
  • the display unit 13 has a thin display such as a liquid crystal display or an organic EL (Organic ElectroLuminescence Display: OELD).
  • the display unit 13 displays the determination result about the user's emotion.
  • the operation unit 14 accepts the user's operation.
  • the operation unit 14 receives the answer to the questionnaire.
  • the operation unit 14 outputs the received answer to the control unit 17.
  • the first input unit 15 is configured to be able to communicate with the sensor 20.
  • the first input unit 15 receives the user's vital value detected by the sensor 20 from the sensor 20.
  • the second input unit 16 is configured to be able to communicate with the camera 30.
  • the second input unit 16 receives the face image taken by the camera 30 from the camera 30.
  • control unit 17 has an analysis unit 171, an acquisition unit 172, a determination unit 173, and a notification unit 174.
  • the analysis unit 171 analyzes the facial expression of the user included in the face image based on the face image acquired by the second input unit 16.
  • the acquisition unit 172 acquires an index value related to the user's emotions.
  • the acquisition unit 172 acquires each of the questionnaire response result, the user's vital value, and the facial expression analysis result for the user. For example, the acquisition unit 172 acquires the answer result of the questionnaire from the operation unit 14. The acquisition unit 172 acquires the detection result (user's vital value) of the sensor 20 from the sensor 20 via the first input unit 15. The acquisition unit 172 acquires the facial expression analysis result for the user by the analysis unit 171 from the analysis unit 171.
  • the acquisition unit 172 Based on the response results of the questionnaire, the acquisition unit 172 has a first positive value (first value) indicating the comfort level (user positive degree) on the X axis of the two-dimensional psychological model shown in FIG. 2, and an arousal on the Y axis.
  • the first tension value (second value) indicating the degree (the degree of tension of the user) is acquired.
  • the acquisition unit 172 acquires a set including the first positive value and the first tension value, which is obtained based on the answer result of the questionnaire, as an index value (hereinafter, referred to as "first index value"). For example, for each of the plurality of questions included in the questionnaire, a plurality of answers to which scores are associated with each are associated. Based on the scores associated with the user's answers to each of the plurality of questions, the acquisition unit 172 sets the total score regarding the degree of positiveness as the first positive value and the total score regarding the degree of tension as the first tension value. ..
  • the acquisition unit 172 acquires a second positive value (first value) indicating the degree of positiveness of the user and a second tension value (second value) indicating the degree of tension of the user based on the vital value of the user. ..
  • the acquisition unit 172 acquires a set including the second positive value and the second tension value obtained based on the vital value as an index value (hereinafter, referred to as “second index value”).
  • second index value an index value
  • the acquisition unit 172 acquires the difference between the vital value detected by the sensor 20 and the general average value of the vital values as a score related to the user's vitals.
  • the acquisition unit 172 uses the acquired vital scores as the second positive value and the second tension value.
  • the acquisition unit 172 acquires a third positive value (first value) indicating the degree of positiveness of the user and a third tension value (second value) indicating the degree of tension of the user. do.
  • the acquisition unit 172 acquires a set including the third positive value and the third tension value, which is obtained based on the facial expression analysis result, as an index value (hereinafter, referred to as “third index value”).
  • a score is assigned to each facial expression. Specifically, scores are assigned to each of an angry facial expression, a sad facial expression, a surprised facial expression, a happy facial expression, and no expression (natural facial expression).
  • the acquisition unit 172 acquires a score regarding the facial expression corresponding to the corresponding facial expression of the user among angry facial expression, sad facial expression, surprised facial expression, happy facial expression, and no facial expression.
  • the acquisition unit 172 sets the score regarding the acquired facial expression as the third positive value and the third tension value.
  • the determination unit 173 weights the index value acquired by the acquisition unit 172, and determines the user's emotion based on the weighted index value.
  • the determination unit 173 weights each of the first value and the second value included in the index value, and based on the two-dimensional coordinates represented by the weighted first value and second value, the user Judge emotions.
  • the determination unit 173 performs normalization processing on each of the first index value, the second index value, and the third index value. Specifically, the determination unit 173 normalizes each of the first value and the second value so as to fall within a predetermined range, and the normalized first value and the second value, respectively. Is weighted.
  • the determination unit 173 is set to fall within a predetermined range for each of the first value (first positive value) and the second value (first tension value) included in the first index value. Perform normalization.
  • the determination unit 173 weights the first positive value by multiplying the normalized first positive value by a predetermined first weighting coefficient.
  • the determination unit 173 weights the first tension value by multiplying the normalized first tension value by a predetermined second weighting coefficient.
  • the determination unit 173 normalizes each of the first value (second positive value) and the second value (second tension value) included in the second index value so as to fall within a predetermined range.
  • the determination unit 173 weights the second positive value by multiplying the normalized second positive value by a predetermined third weighting coefficient.
  • the determination unit 173 weights the second tension value by multiplying the normalized second tension value by a predetermined fourth weighting coefficient.
  • the determination unit 173 normalizes each of the first value (third positive value) and the second value (third tension value) included in the third index value so as to fall within a predetermined range.
  • the determination unit 173 weights the third positive value by multiplying the normalized third positive value by a predetermined fifth weighting coefficient.
  • the determination unit 173 weights the third tension value by multiplying the normalized third tension value by a predetermined sixth weighting coefficient.
  • the determination unit 173 determines the emotion of the user based on the two-dimensional coordinates represented by the weighted first value and the second value. Specifically, the determination unit 173 calculates the total value (first total value) of the first positive value, the second positive value, and the third positive value, each of which is weighted. The determination unit 173 calculates a total value (second total value) of the first tension value, the second tension value, and the third tension value, each of which is weighted. The determination unit 173 specifies whether the two-dimensional coordinates represented by the first total value and the second total value are included in any of the four quadrants in the two-dimensional psychological model shown in FIG. The determination unit 173 determines the emotion corresponding to the specified quadrant as the user's emotion.
  • the notification unit 174 notifies the user of the determination result by the determination unit 173.
  • the notification unit 174 causes the display unit 13 to display the determination result (user's emotion).
  • the notification unit 174 may notify the user of the determination result by voice.
  • the notification unit 174 may notify the information terminal owned by the user via the network.
  • the information terminal is a smartphone, a tablet terminal, or the like. Further, the notification unit 174 may transmit to an external device via the communication unit 11.
  • the acquisition unit 172 acquires the index value (step S1).
  • the acquisition unit 172 acquires a set including the first positive value (first value) and the first tension value (second value) as the first index value based on the response result of the questionnaire.
  • the acquisition unit 172 acquires a set including the second positive value (first value) and the second tension value (second value) as the second index value based on the vital value of the user.
  • the acquisition unit 172 acquires a set including the third positive value (first value) and the third tension value (second value) as the third index value based on the facial expression analysis result for the user.
  • the determination unit 173 performs a determination process for determining the user's emotions (step S2). The details of the determination process will be described later.
  • the notification unit 174 performs a notification process for notifying the user of the determination result by the determination unit 173 (step S3).
  • the notification unit 174 causes the display unit 13 to display the determination result (user's emotion).
  • the determination unit 173 performs normalization processing (step S11).
  • the determination unit 173 normalizes each of the first value (first positive value) and the second value (first tension value) included in the first index value so as to fall within a predetermined range.
  • the determination unit 173 normalizes each of the first value (second positive value) and the second value (second tension value) included in the second index value so as to fall within a predetermined range.
  • the determination unit 173 normalizes each of the first value (third positive value) and the second value (third tension value) included in the third index value so as to fall within a predetermined range.
  • the determination unit 173 performs weighting processing (step S12).
  • the determination unit 173 weights the first tension value by multiplying the normalized first positive value by the first weighting coefficient and the normalized first tension value by the second weighting coefficient.
  • the determination unit 173 weights the second tension value by multiplying the normalized second positive value by the third weighting coefficient and the normalized second tension value by the fourth weighting coefficient.
  • the determination unit 173 weights the third tension value by multiplying the normalized third positive value by the fifth weighting coefficient and the normalized third tension value by the sixth weighting coefficient.
  • the determination unit 173 determines the user's emotions (step S13).
  • the determination unit 173 calculates the first total value of the first positive value, the second positive value, and the third positive value, each of which is weighted.
  • the determination unit 173 calculates the second total value of the first tension value, the second tension value, and the third tension value, each of which is weighted.
  • the determination unit 173 specifies whether the two-dimensional coordinates represented by the first total value and the second total value are included in any of the four quadrants in the two-dimensional psychological model shown in FIG.
  • the determination unit 173 determines the emotion corresponding to the specified quadrant as the user's emotion.
  • the score of the user's degree of positiveness based on the answer to the questionnaire is 9 points (first positive value), and the score of the degree of tension of the user is 6 points (first tension value). Furthermore, the range in which the user's positive degree score based on the answers to the questionnaire can be obtained is 3 to 15 points. In addition, the range in which the user's positive degree score based on the answers to the questionnaire can be obtained is also set to 3 to 15 points.
  • the sensor 20 detects the user's heart rate as the user's vital value.
  • the heart rate of the user detected by the sensor 20 is 70.
  • the general average value is 80.
  • the acquisition unit 172 acquires the difference "-10" between the user's heart rate "70” and the general average value "80" as the second positive value and the second tension value regarding the user's vitals.
  • the range in which the difference can be taken is -50 to 50.
  • the score assigned to each of an angry facial expression, a sad facial expression, a surprised facial expression, a happy facial expression, and no expression (natural facial expression) is -0.5, -0.8, 0.2, 0.3, It is set to 0.4.
  • the range of scores that can be obtained as a result of facial expression analysis is -1 to 1.
  • the analysis unit 171 analyzes that the user's facial expression is a sad facial expression as a result of the user's facial expression analysis.
  • the acquisition unit 172 acquires the score “ ⁇ 0.8” corresponding to the sad facial expression as the third positive value and the third tension value regarding the user's facial expression.
  • each of the first weighting coefficient and the second weighting coefficient is set to 0.2.
  • the third weighting factor is 0.1 and the fourth weighting factor is 1.0.
  • the fifth weighting factor is 1.0 and the sixth weighting factor is 0.1.
  • the determination unit 173 normalizes each of the first positive value "9” and the first tension value "6" in the normalization process. Since the range of points that can be scored is 3 to 15, each of the first positive value "9” and the first tension value "6" is normalized so as to fall within a predetermined range (-1 to 1). Then, the first positive value after normalization becomes "0", and the first tension value after normalization becomes "-0.5".
  • the determination unit 173 normalizes each of the second positive value "-10" and the second tension value "-10" in the normalization process. Since the range in which the difference can be taken is -50 to 50, each of the user's second positive value "-10" and second tension value "-10" is within a predetermined range (-1 to 1). When the normalization is performed in this way, both the second positive value after normalization and the second tension value after normalization become "-0.2".
  • the determination unit 173 normalizes each of the third positive value "-0.8” and the third tension value "0.8” in the normalization process. Normalization is performed by normalizing each of the user's third positive value "-0.8” and third tension value "-0.8” so as to fall within a predetermined range (-1 to 1). Both the latter third positive value and the third tension value are "-0.8".
  • the determination unit 173 sets the first weighting factor “0.2” for the first positive value “0” after normalization and the second weight for the first tension value “ ⁇ 0.5” after normalization. Multiply the coefficient "0.2” respectively. As a result, the weighted first positive value is "0" and the first tension value is "-0.1".
  • the determination unit 173 sets the third weighting factor "0.1" to the second positive value "-0.2” after normalization and the second tension value "-0.2” after normalization.
  • the fourth weighting factor "1.0” is multiplied by each.
  • the weighted second positive value is "-0.02" and the second tension value is "-0.2".
  • the determination unit 173 sets the fifth weighting factor "1.0" to the third positive value "-0.8” after normalization and the third tension value "-0.8” after normalization.
  • the second weighting factor "0.1” is multiplied by each.
  • the weighted third positive value is "-0.8” and the third tension value is "-0.08".
  • the determination unit 173 calculates the first total value using the weighted first positive value, the weighted second positive value, and the weighted third positive value. Since the weighted first positive value, the weighted second positive value, and the weighted third positive value are "0", "-0.02", and "-0.8", respectively, the first total value. Is -0.82.
  • the determination unit 173 calculates the second total value using the weighted first tension value, the weighted second tension value, and the weighted third tension value.
  • the weighted first tension value, the weighted second tension value, and the weighted third tension value are "-0.1", “-0.2", and "-0.08", respectively. 2
  • the total value is -0.38.
  • the two-dimensional coordinates consisting of the first total value and the second total value are in the two-dimensional psychological model shown in FIG. Identify which of the four quadrants is included.
  • the determination unit 173 determines the emotion corresponding to the specified quadrant as the user's emotion.
  • the determination unit 173 determines that the user's emotions are empty.
  • the emotion determination system 1 includes an acquisition unit 172 and a determination unit 173.
  • the acquisition unit 172 acquires an index value related to the user's emotion.
  • the determination unit 173 weights the index value and determines the user's emotion based on the weighted index value.
  • the emotion determination system 1 determines the user's emotion based on the weighted index value, so that the user's emotion can be determined more accurately.
  • the determination unit 173 normalizes each of the first value and the second value included in the index value so as to fall within a predetermined range, and is normalized first. Weighting is performed for each of the value and the second value.
  • values with different index criteria can be handled with the same index. Therefore, the user's emotion can be determined more accurately.
  • the emotion determination device 10 is configured to determine the emotion of the user by using both the positive degree and the tension degree, but is not limited to this configuration.
  • the emotion determination device 10 may determine the user's emotion using only one of the positive degree and the tension degree.
  • the emotion determination device 10 determines whether the user's emotion is positive or negative based on the above-mentioned first total value. Specifically, the emotion determination device 10 determines that the user's emotion is positive when the first total value is 0 or more, and when the first total value is less than 0, the user's emotion is determined. Emotions are judged to be negative.
  • the emotion determination device 10 determines whether the user's emotion is high tension or low tension based on the above-mentioned second total value. Specifically, the emotion determination device 10 determines that the user's emotion is high tension when the second total value is 0 or more, and the user when the second total value is less than 0. It is judged that the emotion of is low tension.
  • the facial expression of the user may change while the camera 30 is taking a picture.
  • the analysis unit 171 may obtain a plurality of facial expression analysis results.
  • the acquisition unit 172 sets the maximum value among the plurality of scores corresponding to the plurality of facial expression analysis results as the representative value, and normalizes the representative value. And may be used for weighting processing. That is, the acquisition unit 172 may determine the emotion of the user by using the representative value as the index value.
  • any one of the average value, the median value, and the minimum value of the plurality of scores corresponding to the plurality of facial expression analysis results may be used as the representative value.
  • the emotion determination device 10 is configured to use a value based on the answer to the questionnaire, a value based on the vital value, and a value based on the facial expression analysis result as the index value, but the present invention is not limited to this configuration.
  • the emotion determination device 10 may use one of a value based on the answer to the questionnaire, a value based on the vital value, and a facial expression analysis result as an index value. Alternatively, the emotion determination device 10 may use two of the value based on the answer to the questionnaire, the value based on the vital value, and the facial expression analysis result as the index value.
  • the emotion determination device 10 may be configured to use at least one of a value based on the answer to the questionnaire, a value based on the vital value, and a facial expression analysis result as an index value.
  • the determination unit 173 of the emotion determination device 10 is configured to normalize the index value, but is not limited to this configuration.
  • the determination unit 173 does not have to normalize the index value. That is, it is not essential for the determination unit 173 to normalize the index value. In other words, the determination unit may be configured to at least weight the index value.
  • the determination unit 173 uses the index value (first positive value, first tension value, second positive value, second tension value, third positive value) acquired by the acquisition unit 172. And the third tension value) are weighted.
  • the above embodiment is only one of the various embodiments of the present disclosure.
  • the above embodiment can be variously modified according to the design and the like as long as the object of the present disclosure can be achieved.
  • the same function as the emotion determination system 1 may be embodied by an emotion determination method, a computer program, a non-temporary recording medium on which the program is recorded, or the like.
  • the emotion determination method of the emotion determination system 1 includes an acquisition step and a determination step.
  • the acquisition step acquires an index value related to the user's emotion.
  • the determination step weights the index value and determines the user's emotion based on the weighted index value.
  • the program according to one aspect is a program for making a computer system function as the emotion determination method of the emotion determination system 1 or the emotion determination system 1 described above.
  • the executing body of the emotion determination system 1 or the emotion determination method of the emotion determination system 1 in the present disclosure includes a computer system.
  • the computer system has a processor and memory as hardware.
  • the processor executes the program recorded in the memory of the computer system, the function as the execution subject of the emotion determination system 1 or the emotion determination method of the emotion determination system 1 in the present disclosure is realized.
  • the program may be pre-recorded in the memory of the computer system, but may be provided through a telecommunication line. Further, the program may be recorded and provided on a non-temporary recording medium such as a memory card, an optical disk, or a hard disk drive that can be read by a computer system.
  • the processor of a computer system is composed of one or more electronic circuits including a semiconductor integrated circuit (IC) or a large scale integrated circuit (LSI).
  • the integrated circuit such as IC or LSI referred to here has a different name depending on the degree of integration, and includes an integrated circuit called a system LSI, VLSI (Very Large Scale Integration), or ULSI (Ultra Large Scale Integration).
  • an FPGA Field-Programmable Gate Array
  • a plurality of electronic circuits may be integrated on one chip, or may be distributed on a plurality of chips.
  • a plurality of chips may be integrated in one device, or may be distributed in a plurality of devices.
  • the emotion determination system 1 it is not an essential configuration for the emotion determination system 1 that a plurality of functions in the emotion determination system 1 are integrated in one housing, and the components of the emotion determination system 1 are dispersed in a plurality of housings. It may be provided. Further, at least a part of the functions of the emotion determination system 1 may be realized by a cloud (cloud computing) or the like.
  • the emotion determination system (1) of the first aspect includes an acquisition unit (172) and a determination unit (173).
  • the acquisition unit (172) acquires an index value related to the user's emotion.
  • the determination unit (173) weights the index value and determines the user's emotion based on the weighted index value.
  • the emotion determination system (1) determines the user's emotion based on the weighted index value, so that the user's emotion can be determined more accurately.
  • the index value includes a first value indicating the degree of positiveness of the user and a second value indicating the degree of tension of the user.
  • the determination unit (173) weights each of the first value and the second value, and determines the user's emotion based on the two-dimensional coordinates represented by the weighted first value and the second value. do.
  • the user's emotions can be determined using a two-dimensional psychological model.
  • the determination unit (173) normalizes each of the first value and the second value so as to fall within a predetermined range. And weighting is performed for each of the normalized first value and the second value.
  • values with different index criteria can be handled with the same index. Therefore, the user's emotion can be determined more accurately.
  • the index value is a result of a questionnaire to the user, a vital value of the user, and a facial expression analysis result to the user. It is a value obtained from at least one.
  • the user's emotion can be determined using the value obtained from at least one of the response result of the questionnaire to the user, the vital value of the user, and the facial expression analysis result for the user.
  • the vital value includes at least one of the user's heart rate, heart rate variability coefficient, and autonomic nervous activity.
  • the user's emotion can be determined using at least one of the user's heart rate, heart rate variability coefficient, and autonomic nervous activity.
  • the facial expression analysis result is represented by the emotion value which is the maximum value among the emotion values obtained by quantifying the emotions in the user's facial expression.
  • the determination unit (173) determines the user's emotion using the representative value.
  • the user's emotion can be determined using the representative value.
  • the emotion determination method of the seventh aspect includes an acquisition step and a determination step.
  • the acquisition step acquires an index value related to the user's emotion.
  • the determination step weights the index value and determines the user's emotion based on the weighted index value.
  • the user's emotion can be determined more accurately.
  • the program of the eighth aspect is a program for causing a computer to execute the emotion determination method of the seventh aspect.

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  • Educational Technology (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Medical Informatics (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)

Abstract

L'invention concerne un système d'évaluation d'émotion, un procédé d'évaluation d'émotion et un programme avec lesquels il est possible d'évaluer plus précisément l'émotion d'un utilisateur. Le système d'évaluation d'émotion (1) est pourvu d'une unité d'acquisition (172) et d'une unité d'évaluation (173). L'unité d'acquisition (172) acquiert une valeur d'indicateur relative à l'émotion de l'utilisateur. L'unité d'évaluation (173) effectue une pondération de la valeur d'indicateur, et évalue l'émotion de l'utilisateur sur la base de la valeur d'indicateur pondérée.
PCT/JP2021/004907 2020-11-26 2021-02-10 Système d'évaluation d'émotion, procédé d'évaluation d'émotion, et programme WO2022113380A1 (fr)

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JP2020-196298 2020-11-26

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Citations (7)

* Cited by examiner, † Cited by third party
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JP2009111938A (ja) * 2007-11-01 2009-05-21 Nippon Telegr & Teleph Corp <Ntt> 情報編集装置、情報編集方法、情報編集プログラムおよびそのプログラムを記録した記録媒体
JP2011155605A (ja) * 2010-01-28 2011-08-11 Nikon Corp 画像処理装置、撮像装置、および画像処理プログラム
JP2017144222A (ja) * 2015-10-14 2017-08-24 パナソニック インテレクチュアル プロパティ コーポレーション オブ アメリカＰａｎａｓｏｎｉｃ Ｉｎｔｅｌｌｅｃｔｕａｌ Ｐｒｏｐｅｒｔｙ Ｃｏｒｐｏｒａｔｉｏｎ ｏｆ Ａｍｅｒｉｃａ 感情推定方法、感情推定装置、及び、プログラムを記録した記録媒体
JP2018189720A (ja) * 2017-04-28 2018-11-29 パナソニックＩｐマネジメント株式会社 情報出力制御装置、情報出力制御方法、情報出力システム、およびプログラム
JP2019036281A (ja) * 2017-08-21 2019-03-07 パナソニックＩｐマネジメント株式会社 情報処理方法、情報処理装置及び情報処理プログラム
CN111079465A (zh) * 2018-10-18 2020-04-28 北京入思技术有限公司 一种基于三维成像分析的情绪状态综合判定方法
WO2020170645A1 (fr) * 2019-02-22 2020-08-27 ソニー株式会社 Dispositif de traitement d'informations, procédé de traitement d'informations et programme

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2009111938A (ja) * 2007-11-01 2009-05-21 Nippon Telegr & Teleph Corp <Ntt> 情報編集装置、情報編集方法、情報編集プログラムおよびそのプログラムを記録した記録媒体
JP2011155605A (ja) * 2010-01-28 2011-08-11 Nikon Corp 画像処理装置、撮像装置、および画像処理プログラム
JP2017144222A (ja) * 2015-10-14 2017-08-24 パナソニック インテレクチュアル プロパティ コーポレーション オブ アメリカＰａｎａｓｏｎｉｃ Ｉｎｔｅｌｌｅｃｔｕａｌ Ｐｒｏｐｅｒｔｙ Ｃｏｒｐｏｒａｔｉｏｎ ｏｆ Ａｍｅｒｉｃａ 感情推定方法、感情推定装置、及び、プログラムを記録した記録媒体
JP2018189720A (ja) * 2017-04-28 2018-11-29 パナソニックＩｐマネジメント株式会社 情報出力制御装置、情報出力制御方法、情報出力システム、およびプログラム
JP2019036281A (ja) * 2017-08-21 2019-03-07 パナソニックＩｐマネジメント株式会社 情報処理方法、情報処理装置及び情報処理プログラム
CN111079465A (zh) * 2018-10-18 2020-04-28 北京入思技术有限公司 一种基于三维成像分析的情绪状态综合判定方法
WO2020170645A1 (fr) * 2019-02-22 2020-08-27 ソニー株式会社 Dispositif de traitement d'informations, procédé de traitement d'informations et programme

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