JP7197947B2 - Video image analysis system - Google Patents

Description

The present invention provides moving images obtained by photographing participants in an environment where an online session is held by a plurality of participants, regardless of whether or not the participants are displayed on the screen during the online session. It relates to a moving image analysis system that analyzes participants' reactions to and.

There is known a technique for analyzing the emotions others receive in response to a speaker's utterances (see, for example, Patent Literature 1). There is also known a technique for analyzing changes in facial expressions of a subject in chronological order over a long period of time and estimating the emotions held during that period (see, for example, Patent Literature 2). Furthermore, there are known techniques for identifying factors that have the greatest influence on changes in emotions (see Patent Documents 3 to 5, for example). Furthermore, there is also known a technology that compares the subject's usual facial expression with the current facial expression and issues an alert when the facial expression is dark (see, for example, Patent Document 6). There is also known a technique for determining the degree of emotion of a subject by comparing the subject's normal (expressionless) facial expression with the current facial expression (for example, Patent Documents 7 to 9). reference). Furthermore, there is also known a technique for analyzing the feeling of an organization and the atmosphere within a group that an individual feels (see Patent Documents 10 and 11, for example).

JP 2019-58625 A JP 2016-149063 A JP 2020-86559 A JP-A-2000-76421 JP 2017-201499 A JP 2018-112831 A JP 2011-154665 A JP-A-2012-8949 Japanese Unexamined Patent Application Publication No. 2013-300 JP 2011-186521 A WO15/174426

All the above-mentioned technologies are only secondary functions in situations where communication in the real space is the main activity. In other words, due to the recent DX (Digital Transformation) of business and the worldwide epidemic of infectious diseases, it is not a situation where communication such as business and classes is mainly conducted online.

SUMMARY OF THE INVENTION An object of the present invention is to objectively evaluate such communication in order to conduct more efficient communication in situations such as meetings and lectures where online communication is the main focus.

According to the invention,
an external device that outputs a predetermined output in response to a user's actions; and by photographing a user during an online session, regardless of whether the user is displayed on the screen in an environment where an online session is conducted by a plurality of users. An analysis device that analyzes the reaction of the user based on the obtained moving image, and a moving image analysis system comprising:
The analysis device is
a moving image acquisition unit that acquires a moving image obtained by photographing the user during the online session for each of the plurality of users;
an analysis unit that analyzes changes in biological reactions of the user based on the moving image acquired by the moving image acquisition unit;
and a provision unit that provides the external device with the analysis result obtained by the analysis unit.

According to the present disclosure, an objective assessment can be made, particularly regarding content, by analyzing the moving images of a video session.

In particular, according to the present invention, exchanged communication can be objectively evaluated in order to conduct more efficient communication in a situation where online communication is the main activity.

It is a figure which shows the whole system diagram by embodiment of this invention. 1 is an example of a functional block diagram of an evaluation terminal according to an embodiment of the present invention; FIG. FIG. 3 is a diagram showing functional configuration example 1 of the evaluation terminal according to the embodiment of the present invention; FIG. 8 is a diagram showing functional configuration example 2 of the evaluation terminal according to the embodiment of the present invention; FIG. 10 is a diagram showing a functional configuration example 3 of the evaluation terminal according to the embodiment of the present invention; 7 is a screen display example according to the functional configuration example 3 of FIG. 6. FIG. FIG. 7 is another screen display example according to the functional configuration example 3 of FIG. 6. FIG. FIG. 12 is a diagram showing another configuration of functional configuration example 3 of the evaluation terminal according to the embodiment of the present invention; FIG. 12 is a diagram showing another configuration of functional configuration example 3 of the evaluation terminal according to the embodiment of the present invention; 1 is a functional block diagram of a system according to embodiments of the invention; FIG. 1 is a functional block diagram of a system according to embodiments of the invention; FIG. 1 is a functional block diagram of a system according to embodiments of the invention; FIG.

The contents of the embodiments of the present disclosure are listed and described. The present disclosure has the following configurations.
[Item 1]
an external device that outputs a predetermined output in response to a user's actions; and by photographing a user during an online session, regardless of whether the user is displayed on the screen in an environment where an online session is conducted by a plurality of users. An analysis device that analyzes the reaction of the user based on the obtained moving image, and a moving image analysis system comprising:
The analysis device is
a moving image acquisition unit that acquires a moving image obtained by photographing the user during the online session for each of the plurality of users;
an analysis unit that analyzes changes in biological reactions of the user based on the moving image acquired by the moving image acquisition unit;
and a providing unit that provides the external device with the analysis result obtained by the analyzing unit.
[Item 2]
The moving image analysis system according to item 1,
The external device is
a hardware input unit including a sensor unit for detecting user movement;
a hardware processing unit that performs a predetermined evaluation based on the input signal input from the hardware input unit;
a hardware output unit that generates a drive signal for driving the external device to perform a predetermined operation based on the predetermined evaluation,
The analysis device is
a conversion unit that converts the analysis result into the input signal;
a converted signal output unit that outputs the converted input signal to the hardware input unit or the hardware processing unit via a network;
comprising
Video image analysis system.
[Item 3]
The moving image analysis system according to item 1 or item 2,
The external device is a pet robot that moves according to the user's motion,
The user reaction that cannot be input to the hardware input unit can be input to the hardware input unit or the hardware processing unit by using the analysis device.
Video image analysis system.
[Item 4]
The moving image analysis system according to any one of items 1 to 3,
further comprising an operation signal generation unit that generates an operation signal including a definition of the operation of the external device based on the result of the analysis by the analysis unit;
wherein the conversion unit includes the operation signal in the input signal;
Video image analysis system.
[Item 5]
The moving image analysis system according to any one of items 1 to 4,
The analysis device is held in the same housing as the external device,
Video image analysis system.
[Item 6]
The moving image analysis system according to any one of items 1 to 5,
The analysis unit analyzes eye movement of each of the plurality of users to generate line-of-sight information indicating a line-of-sight direction,
The conversion unit converts the line-of-sight information into the input signal,
Video image analysis system.
[Item 7]
The moving image analysis system according to any one of items 1 to 6,
An emotion evaluation unit that evaluates the degree of emotion of the user according to an evaluation standard leveled among a plurality of users based on the change in the biological reaction analyzed for the user by the analysis unit,
The emotion evaluation unit determines the degree of emotion based on the magnitude of the difference between the current biological reaction and the normal biological reaction, and the degree of emotion adjusted according to the likelihood of the same emotion occurring by the user. evaluate and
The conversion unit converts the evaluation into the input signal.
Video image analysis system.
[Item 8]
The moving image analysis system according to any one of items 1 to 7,
Whether the change in the biological reaction analyzed for the user with respect to one online session is specific compared to the change in the biological reaction analyzed for the user with respect to an online session temporally earlier than the one online session a peculiar determination unit that determines whether
A clustering unit that clusters the change pattern of the biological reaction based on the content of the change in the biological reaction determined to be specific by the specific determination unit and the magnitude of the change from before,
The conversion unit converts the clustering result into the input signal.
Video image analysis system.
[Item 9]
A moving image analysis device having the configuration of the moving image analysis system according to item 1.
[Item 10]
A moving image analysis program that causes a moving image analysis device to function as the configuration of the moving image analysis system according to item 1.
[Item 11]
A moving image analysis method for executing the configuration of the moving image analysis system according to item 1 as steps.

Preferred embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings. In the present specification and drawings, constituent elements having substantially the same functional configuration are denoted by the same reference numerals, thereby omitting redundant description.

<Basic functions>
In the video session evaluation system of the present embodiment, in an environment where a video session (hereinafter referred to as an online session including one-way and two-way sessions) is held by a plurality of people, the person to be analyzed among the plurality of people is different from the others. It is a system that analyzes and evaluates specific emotions (feelings that occur in response to one's own or others' words and actions. Pleasant/unpleasant, or their degree). Online sessions are, for example, online meetings, online classes, online chats, etc. Terminals installed in multiple locations are connected to a server via a communication network such as the Internet, and moving images are transmitted between multiple terminals through the server. It's made to be interactable. Moving images handled in online sessions include facial images and voices of users using terminals. Moving images also include images such as materials that are shared and viewed by a plurality of users. It is possible to switch between the face image and the document image on the screen of each terminal to display only one of them, or to divide the display area and display the face image and the document image at the same time. In addition, it is possible to display the image of one user out of a plurality of users on the full screen, or divide the images of some or all of the users into small screens and display them. It is possible to designate one or a plurality of users among a plurality of users participating in an online session using terminals as analysis subjects. For example, an online session leader, moderator, or manager (hereinafter collectively referred to as the organizer) designates any user as an analysis subject. Hosts of online sessions are, for example, instructors of online classes, chairpersons and facilitators of online meetings, coaches of sessions for coaching purposes, and the like. An online session host is typically one of the users participating in the online session, but may be another person who does not participate in the online session. It should be noted that all participants may be subject to analysis without specifying the person to be analyzed. In addition, it is also possible for an online session leader, moderator, or administrator (hereinafter collectively referred to as the organizer) to designate any user as an analysis subject. Hosts of online sessions are, for example, instructors of online classes, chairpersons and facilitators of online meetings, coaches of sessions for coaching purposes, and the like. An online session host is typically one of the users participating in the online session, but may be another person who does not participate in the online session.

The video session evaluation system according to this embodiment displays at least moving images obtained from a video session established between a plurality of terminals. The displayed moving image is acquired by the terminal, and at least a face image included in the moving image is identified for each predetermined frame unit. An evaluation value for the identified face image is then calculated. The evaluation value is shared as necessary. In particular, in this embodiment, the acquired moving image is stored in the terminal, analyzed and evaluated on the terminal, and the result is provided to the user of the terminal. Therefore, for example, even a video session containing personal information or a video session containing confidential information can be analyzed and evaluated without providing the moving image itself to an external evaluation agency or the like. In addition, by providing only the evaluation result (evaluation value) to the external terminal as necessary, the result can be visualized and cross-analysis can be performed.

As shown in FIG. 1, the video session evaluation system according to the present embodiment includes user terminals 10 and 20 each having at least an input unit such as a camera unit and a microphone unit, a display unit such as a display, and an output unit such as a speaker. , a video session service terminal 30 for providing an interactive video session to the user terminals 10, 20, and an evaluation terminal 40 for performing part of the evaluation of the video session.

<Hardware configuration example>
Each functional block, functional unit, and functional module described below can be configured by any of hardware, DSP (Digital Signal Processor), and software provided in a computer, for example. For example, when configured by software, it is actually configured with a computer CPU, RAM, ROM, etc., and is realized by running a program stored in a recording medium such as RAM, ROM, hard disk, or semiconductor memory. A series of processes by the systems and terminals described herein may be implemented using software, hardware, or a combination of software and hardware. It is possible to create a computer program for realizing each function of the information sharing support device 10 according to the present embodiment and implement it in a PC or the like. It is also possible to provide a computer-readable recording medium storing such a computer program. The recording medium is, for example, a magnetic disk, an optical disk, a magneto-optical disk, a flash memory, or the like. Also, the above computer program may be distributed, for example, via a network without using a recording medium.

The evaluation terminal according to the present embodiment acquires a moving image from a video session service terminal, identifies at least a face image included in the moving image for each predetermined frame unit, and calculates an evaluation value for the face image ( will be described in detail later).

<How to get videos>
As shown in FIG. 3, the video session service provided by the video session service terminal (hereinafter sometimes simply referred to as "this service") provides user terminals 10 and 20 with two-way images and voice. Communication is possible. In this service, a moving image captured by the camera of the other user's terminal is displayed on the display of the user's terminal, and audio captured by the microphone of the other's user's terminal can be output from the speaker. In addition, this service allows both or either of the user terminals to record moving images and sounds (collectively referred to as "moving images, etc.") in the storage unit of at least one of the user terminals. configured as possible. The recorded moving image information Vs (hereinafter referred to as “recorded information”) is cached in the user terminal that started recording and is locally recorded only in one of the user terminals. If necessary, the user can view the recorded information by himself or share it with others within the scope of using this service.

<Functional configuration example 1>
FIG. 4 is a block diagram showing a configuration example according to this embodiment. As shown in FIG. 4, the video session evaluation system of this embodiment is implemented as a functional configuration of the user terminal 10. FIG. That is, the user terminal 10 has, as its functions, a moving image acquisition unit 11, a biological reaction analysis unit 12, a peculiar determination unit 13, a related event identification unit 14, a clustering unit 15, and an analysis result notification unit 16.

The moving image acquisition unit 11 acquires from each terminal a moving image obtained by photographing a plurality of people (a plurality of users) with a camera provided in each terminal during an online session. It does not matter whether the moving image acquired from each terminal is set to be displayed on the screen of each terminal. That is, the moving image acquisition unit 11 acquires moving images from each terminal, including moving images being displayed and moving images not being displayed on each terminal.

The biological reaction analysis unit 12 analyzes changes in the biological reactions of each of the plurality of people based on the moving images (whether or not they are being displayed on the screen) acquired by the moving image acquisition unit 11 . In the present embodiment, the biological reaction analysis unit 12 separates the moving image acquired by the moving image acquisition unit 11 into a set of images (collection of frame images) and voice, and analyzes changes in the biological reaction from each.

For example, the biological reaction analysis unit 12 analyzes the user's facial image using a frame image separated from the moving image acquired by the moving image acquisition unit 11 to obtain at least one of facial expression, gaze, pulse, and facial movement. Analyze changes in biological reactions related to Further, the biological reaction analysis unit 12 analyzes the voice separated from the moving image acquired by the moving image acquisition unit 11 to analyze changes in the biological reaction related to at least one of the user's utterance content and voice quality.

When people's emotions change, it appears as changes in biological reactions such as facial expressions, eyes, pulse, facial movements, content of remarks, and voice quality. In this embodiment, changes in the user's emotions are analyzed through analysis of changes in the user's biological reactions. The emotion analyzed in this embodiment is, for example, the degree of comfort/discomfort. In the present embodiment, the biological reaction analysis unit 12 calculates a biological reaction index value reflecting the change in biological reaction by quantifying the change in biological reaction according to a predetermined standard.

Analysis of changes in facial expressions is performed, for example, as follows. That is, for each frame image, a facial region is identified from the frame image, and the identified facial expressions are classified into a plurality of types according to an image analysis model machine-learned in advance. Then, based on the classification results, it analyzes whether positive facial expression changes occur between consecutive frame images, whether negative facial expression changes occur, and to what extent the facial expression changes occur, A facial expression change index value corresponding to the analysis result is output.

The analysis of changes in line of sight is performed, for example, as follows. That is, for each frame image, the eye region is specified in the frame image, and the orientation of both eyes is analyzed to analyze where the user is looking. For example, it analyzes whether the user is looking at the face of the speaker being displayed, whether the user is looking at the shared material being displayed, or whether the user is looking outside the screen. Also, it may be analyzed whether the eye movement is large or small, or whether the movement is frequent or infrequent. A change in line of sight is also related to the user's degree of concentration. The biological reaction analysis unit 12 outputs a line-of-sight change index value according to the analysis result of the line-of-sight change.

Analysis of changes in pulse rate is performed, for example, as follows. That is, for each frame image, the face area is specified in the frame image. Then, using a trained image analysis model that captures numerical values of face color information (G of RGB), changes in the G color of the face surface are analyzed. By arranging the results along the time axis, a waveform representing changes in color information is formed, and the pulse is identified from this waveform. When a person is tense, the pulse speeds up, and when the person is calm, the pulse slows down. The biological reaction analysis unit 12 outputs a pulse change index value according to the analysis result of the pulse change.

Analysis of changes in facial movement is performed, for example, as follows. That is, for each frame image, the face area is specified in the frame image, and the direction of the face is analyzed to analyze where the user is looking. For example, it analyzes whether the user is looking at the face of the speaker being displayed, whether the user is looking at the shared material being displayed, or whether the user is looking outside the screen. Further, it may be analyzed whether the movement of the face is large or small, or whether the movement is frequent or infrequent. The movement of the face and the movement of the line of sight may be analyzed together. For example, it may be analyzed whether the face of the speaker being displayed is viewed straight, whether the face is viewed with upward or downward gaze, or whether the face is viewed obliquely. The biological reaction analysis unit 12 outputs a face orientation change index value according to the analysis result of the face orientation change.

Analysis of the content of the statement is performed, for example, as follows. That is, the biological reaction analysis unit 12 converts the voice into a character string by performing known voice recognition processing on the voice for a specified time (for example, about 30 to 150 seconds), and morphologically analyzes the character string. By doing so, words such as particles and articles that are unnecessary for expressing conversation are removed. Then, vectorize the remaining words, analyze whether a positive emotional change has occurred, whether a negative emotional change has occurred, and to what extent the emotional change has occurred. Outputs the utterance content index value.

Analysis of voice quality is performed, for example, as follows. That is, the biological reaction analysis unit 12 identifies the acoustic features of the voice by performing known voice analysis processing on the voice for a specified time (for example, about 30 to 150 seconds). Then, based on the acoustic features, it analyzes whether a positive change in voice quality has occurred, whether a negative change in voice quality has occurred, and to what extent the change in voice quality has occurred, and according to the analysis results, output the voice quality change index value.

The biological reaction analysis unit 12 uses at least one of the facial expression change index value, eye line change index value, pulse change index value, face direction change index value, statement content index value, and voice quality change index value calculated as described above. to calculate the biological reaction index value. For example, the biological reaction index value is calculated by weighting the facial expression change index value, eye line change index value, pulse change index value, face direction change index value, statement content index value, and voice quality change index value.

The peculiarity determination unit 13 determines whether or not the change in the analyzed biological reaction of the person to be analyzed is specific compared to the change in the analyzed biological reaction of the person other than the person to be analyzed. In the present embodiment, the peculiarity determination unit 13 compares changes in the biological reaction of the person to be analyzed with those of others based on the biological reaction index values calculated for each of the plurality of users by the biological reaction analysis unit 12. is specific or not.

For example, the peculiar determination unit 13 calculates the variance of the biological reaction index values calculated for each of the plurality of persons by the biological reaction analysis unit 12, and compares the biological reaction index values calculated for the analysis subject with the variance, It is determined whether or not the change in the analyzed biological reaction of the person to be analyzed is specific compared to others.

The following three patterns are conceivable as a case where the change in the biological reaction analyzed for the person to be analyzed is more specific than that for the other person. The first is a case where a relatively large change in biological reaction occurs in the subject of analysis, although no particularly large change in biological reaction has occurred in the other person. The second is a case where a particularly large change in biological reaction has not occurred in the subject of analysis, but a relatively large change in biological reaction has occurred in the other person. The third is a case where a relatively large change in biological reaction occurs in both the subject of analysis and the other person, but the content of the change differs between the subject of analysis and the other person.

The related event identification unit 14 identifies an event occurring in relation to at least one of the person to be analyzed, the other person, and the environment when the change in the biological reaction determined to be peculiar by the peculiarity determination unit 13 occurs. . For example, the related event identification unit 14 identifies from the moving image the speech and behavior of the person to be analyzed when a specific change in biological reaction occurs in the person to be analyzed. In addition, the related event identifying unit 14 identifies, from the moving image, the speech and behavior of the other person when a specific change in the biological reaction of the person to be analyzed occurs. In addition, the related event identification unit 14 identifies from the moving image the environment in which a specific change in the biological reaction of the person to be analyzed occurs. The environment is, for example, the shared material being displayed on the screen, the background image of the person to be analyzed, and the like.

The clustering unit 15 clusters the change in the biological reaction determined to be specific by the peculiarity determination unit 13 (for example, one or a combination of eye gaze, pulse, facial movement, statement content, and voice quality), and the peculiarity Analyzing the degree of correlation with an event (event identified by the related event identification unit 14) that occurs when a change in biological reaction occurs, and if it is determined that the correlation is at a certain level or more , to cluster the subjects or events based on the correlation analysis results.

For example, if a change in a specific biological reaction corresponds to a negative emotional change, and the event occurring when the specific change in biological reaction occurs is also a negative event, a certain level The above correlation is detected. The clustering unit 15 clusters the person to be analyzed or the event into one of a plurality of pre-segmented categories according to the content of the event, the degree of negativity, the magnitude of the correlation, and the like.

Similarly, if a specific change in biological reaction corresponds to a positive emotional change and the event occurring when the specific change in biological reaction occurs is also a positive event, Level or higher correlations are detected. The clustering unit 15 clusters the person to be analyzed or the event into one of a plurality of pre-segmented classifications according to the content of the event, the degree of positivity, the degree of correlation, and the like.

The analysis result notification unit 16 reports at least one of the changes in the biological reaction determined to be specific by the peculiar determination unit 13, the event identified by the related event identification unit 14, and the classification clustered by the clustering unit 15. , to notify the designator of the subject of analysis (the subject of analysis or the organizer of the online session).

For example, the analysis result notification unit 16 recognizes that when a change in a specific biological reaction that is different from that of the other person occurs in the person to be analyzed (one of the three patterns described above; the same applies hereinafter), the analysis target is Notifies the person to be analyzed of his/her own behavior. This allows the person to be analyzed to understand that he/she has a different feeling from others when he or she performs a certain behavior. At this time, the person to be analyzed may also be notified of the change in the specific biological reaction identified for the person to be analyzed. Furthermore, the person to be analyzed may be further notified of the change in the biological reaction of the other person to be compared.

For example, the words and deeds of the person to be analyzed performed without being particularly conscious of their usual emotions, or the words and deeds of the person to be analyzed consciously accompanied by certain emotions, and the emotions and behaviors that others received When the emotion held by the person to be analyzed is different from the feeling held by the person to be analyzed at the time, the person to be analyzed is notified of the speech and behavior of the person to be analyzed at that time. As a result, it is possible to discover behaviors that are well received by others or behaviors that are not well received by others, contrary to one's own consciousness.

In addition, the analysis result notification unit 16 notifies the organizer of the online session of the event occurring when the person to be analyzed undergoes a specific change in biological reaction that is different from that of the other person, together with the change in the specific biological reaction. to notify. As a result, the organizer of the online session can know what kind of event affects what kind of emotional change as a phenomenon specific to the specified analysis subject. Then, it becomes possible to perform appropriate treatment on the person to be analyzed according to the grasped contents.

In addition, the analysis result notification unit 16 notifies the organizer of the online session of the event occurring when a specific change in biological reaction occurs in the analysis subject, which is different from that of others, or the clustering result of the analysis subject. do. As a result, online session organizers can grasp behavioral tendencies peculiar to analysis subjects and predict possible future behaviors and situations, depending on which classification the specified analysis subjects have been clustered into. be able to. Then, it becomes possible to take appropriate measures for the person to be analyzed.

In the above embodiment, the biological reaction index value is calculated by quantifying the change in biological reaction according to a predetermined standard, and the analysis subject is analyzed based on the biological reaction index value calculated for each of the plurality of people. Although the example of determining whether the change in the biological reaction received is specific compared to others has been described, the present invention is not limited to this example. For example, it may be as follows.

In other words, the biological reaction analysis unit 12 analyzes eye movement of each of the plurality of people and generates a heat map indicating the direction of the eye gaze. The peculiar determination unit 13 compares the heat map generated for the person to be analyzed by the biological reaction analysis unit 12 with the heat map generated for the other person, so that the change in the biological reaction analyzed for the person to be analyzed It is determined whether it is specific compared with the change in biological response analyzed for.

Thus, in this embodiment, moving images of a video session are stored in the local storage of the user terminal 10, and the analysis described above is performed on the user terminal 10. FIG. Although it may depend on the machine specs of the user terminal 10, it is possible to analyze the moving image information without providing it to the outside.

<Functional configuration example 2>
As shown in FIG. 5, the video session evaluation system of this embodiment may include a moving image acquisition unit 11, a biological reaction analysis unit 12, and a reaction information presentation unit 13a as functional configurations.

The reaction information presentation unit 13a presents information indicating changes in biological reactions analyzed by the biological reaction analysis unit 12a, including those of participants not displayed on the screen. For example, the reaction information presenting unit 13a presents information indicating changes in biological reactions to an online session leader, moderator, or administrator (hereinafter collectively referred to as the organizer). Hosts of online sessions are, for example, instructors of online classes, chairpersons and facilitators of online meetings, coaches of sessions for coaching purposes, and the like. An online session host is typically one of the users participating in the online session, but may be another person who does not participate in the online session.

By doing so, the host of the online session can also grasp the state of the participants who are not displayed on the screen in an environment where the online session is held by a plurality of people.

<Functional configuration example 3>
FIG. 6 is a block diagram showing a configuration example according to this embodiment. As shown in FIG. 6, in the video session evaluation system of the present embodiment, functions similar to those of the above-described first embodiment are given the same reference numerals, and explanations thereof may be omitted.

The system according to this embodiment includes a camera unit that acquires images of a video session, a microphone unit that acquires audio, an analysis unit that analyzes and evaluates moving images, and information obtained by evaluating the acquired moving images. an object generator for generating a display object (described below) based on the display; and a display for displaying both the moving image of the video session and the display object during execution of the video session.

The analysis unit includes a moving image acquisition unit 11, biological reaction analysis unit 12, peculiarity determination unit 13, related event identification unit 14, clustering unit 15, and analysis result notification unit 16, as described above. The function of each element is as described above.

As shown in FIG. 7, the object generation unit generates an object 50 representing the recognized face part and the above-mentioned Information 100 indicating the content of the analysis/evaluation performed is superimposed on the moving image and displayed. The object 50 may identify and display all faces of a plurality of persons when the faces of the plurality of persons are moved in the moving image.

In addition, the object 50 is, for example, when the camera function of the video session is stopped at the other party's terminal (that is, it is stopped by software within the application of the video session instead of physically covering the camera). If the other party's face is recognized by the other party's camera, the object 50 or the object 100 may be displayed in the part where the other party's face is located. This makes it possible for both parties to confirm that the other party is in front of the terminal even if the camera function is turned off. In this case, for example, in a video session application, the information obtained from the camera may be hidden while only the object 50 or object 100 corresponding to the face recognized by the analysis unit is displayed. Also, the video information acquired from the video session and the information recognized by the analysis unit may be divided into different display layers, and the layer relating to the former information may be hidden.

If there are multiple moving image display areas, the objects 50 and 100 may be displayed in all areas or only in some areas. For example, as shown in FIG. 8, it may be displayed only on the moving image on the guest side.

The embodiments of the invention described in Basic Configuration Example 1 to Basic Configuration Example 3 described above may be implemented as a single device, or a plurality of devices (for example, cloud servers) partially or entirely connected by a network. and the like. For example, the control unit 110 and the storage 130 of each terminal 10 may be realized by different servers connected to each other via a network. That is, the system includes user terminals 10, 20, a video session service terminal 30 for providing an interactive video session to the user terminals 10, 20, and an evaluation terminal 40 for evaluating the video session, Variation combinations of the following configurations are conceivable.
(1) Processing everything only on the user terminal As shown in FIG. 8, by performing the processing by the analysis unit on the terminal that is performing the video session (although a certain processing capacity is required), the video session can be performed. Analysis/evaluation results can be obtained at the same time (in real time) as you are.
(2) Processing by User Terminal and Evaluation Terminal As shown in FIG. 9, an analysis unit may be provided in an evaluation terminal connected via a network or the like. In this case, the moving images acquired by the user terminal are shared with the evaluation terminal at the same time as or after the video session, and are analyzed and evaluated by the analysis unit in the evaluation terminal. Together with or separately from the moving image data (that is, information including at least analysis data) is shared with the terminal and displayed on the display unit.

The following system is realized by using each configuration of functional configuration example 1 to functional configuration example 3 or a combination thereof.

<Embodiment>
A moving image analysis system (hereinafter simply referred to as "system") according to an embodiment of the present invention captures all participants or only a specific participant in an environment where an online session is held with a plurality of participants. Participants' reactions are analyzed based on the moving images obtained by this process. The analysis may occur whether or not participants are on screen during the online session.

In particular, the system according to the present embodiment is intended to allow users to share profiles of their own humanity, emotions, etc. with others by disclosing changes in their own biological reactions as profile information to other companies. Sharing an emotional profile like this is the ultimate proof of who you are as a human being, and is important for true communication.

As shown in FIG. 10, the system includes an external device that outputs a predetermined output in accordance with a user's action; an analysis device (illustrated evaluation means; the same shall apply hereinafter) for analyzing a user's reaction based on a moving image obtained by photographing the user regardless of the above;

The analysis device includes a moving image acquisition unit that acquires a moving image obtained by photographing each of a plurality of users during an online session; It comprises an analysis unit that analyzes changes in reactions, and a provision unit that provides the analysis result of the analysis unit to an external device.

The external device includes a hardware input unit including a sensor unit that detects user actions, a hardware processing unit that performs a predetermined evaluation based on the input signal input from the hardware input unit, and a and a hardware output unit for generating a drive signal for driving the external device to perform a predetermined operation.

In the present embodiment, the analysis device includes a conversion unit that converts the analysis result into an input signal, and a conversion signal output unit that outputs the converted input signal to a hardware input unit or a hardware processing unit via a network. , is further provided. That is, the analysis device provides the analysis result to the external device as an API (Application Programming Interface).

The external device according to this embodiment may be, for example, a pet robot that moves according to the user's motion. By using an analysis device, it is possible to post-load features that cannot be detected by the sensors of the robot. In other words, it becomes possible to input a user reaction that cannot be input to the hardware input section to the hardware input section or the hardware processing section by using the analysis device.

Further, the present embodiment may further include an operation signal generator that generates an operation signal including the definition of the operation of the external device based on the analysis result of the analysis unit. As a result, it is possible to cause the external device to perform an operation that is not provided.

As shown in FIG. 12, the analyzer may be held within the same housing as the external device.

The analysis unit may analyze eye movement of each of the plurality of users to generate line-of-sight information indicating the line-of-sight direction, and the conversion unit may convert the line-of-sight information into an input signal.

The apparatus further includes an emotion evaluation unit that evaluates the user's degree of emotion according to an evaluation criterion leveled among a plurality of users based on changes in the user's biological reaction analyzed by the analysis unit.

The emotion evaluation unit evaluates the degree of emotion based on the magnitude of the difference between the current biological reaction and the normal biological reaction, and the degree of emotion adjusted according to the likelihood of the same emotion occurring by the user. ,
a conversion unit that converts the evaluation to an input signal;

Determining whether or not the change in biological reaction analyzed for the user regarding one online session is specific compared to the change in biological reaction analyzed for the user regarding the online session temporally earlier than the one online session a determination unit;
a clustering unit that clusters the change pattern of the biological reaction based on the content of the change in the biological reaction determined to be specific by the specific determination unit and the magnitude of the change from before,
the transforming unit transforms the clustering result into an input signal;
Video image analysis system.

The analysis unit analyzes eye movement of each of a plurality of users, generates a heat map indicating the direction of the eye line, and compares the heat map generated for the user with the heat maps generated for other users. . As a result of the comparison, it is determined whether or not the changes in the biological reactions analyzed for the user are specific compared to the changes in the biological reactions analyzed for other users.

Further, the system may further include an emotion evaluation unit that evaluates the degree of emotion of the user according to evaluation criteria leveled among a plurality of users based on changes in the user's biological reaction analyzed by the analysis unit. good. The emotion evaluation unit evaluates the degree of emotion based on the magnitude of the difference between the current biological reaction and the normal biological reaction, and the degree of emotion adjusted according to the likelihood of the same emotion occurring by the user. .

Furthermore, the system determines whether the changes in the biological responses analyzed for the user with respect to one online session are specific compared to the changes in the biological responses analyzed for the user with respect to the online session temporally earlier than the one online session. a peculiarity determination unit that determines whether or not the peculiarity determination unit determines whether the change pattern of the biological reaction is peculiar, and a clustering unit that clusters the change pattern of the biological reaction based on the content of the change in the biological reaction determined to be peculiar and the magnitude of the change from before; may be further provided.

The processes described herein using flowchart illustrations do not necessarily have to be performed in the illustrated order. Some processing steps may be performed in parallel. Also, additional processing steps may be employed, and some processing steps may be omitted.

The embodiments described above may be combined as appropriate for implementation. Also, the effects described herein are merely illustrative or exemplary, and are not limiting. In other words, the technology according to the present disclosure can produce other effects that are obvious to those skilled in the art from the description of this specification, in addition to or instead of the above effects.

10, 20 user terminal 30 video session service terminal 40 evaluation terminal

Claims (1)

A moving image analysis system comprising: an external device that outputs a predetermined output according to a user's action; and an analysis device that analyzes the reaction of the user based on a moving image obtained by photographing the user. hand,
The external device is a robot that moves according to the user's actions:
a hardware input unit including a sensor unit for detecting user movement;
a hardware processing unit that performs a predetermined evaluation based on the input signal input from the hardware input unit;
a hardware output unit that generates a drive signal that drives the external device to perform a predetermined operation based on the predetermined evaluation;
The analysis device is
a moving image acquisition unit that acquires a moving image obtained by photographing the user;
an analysis unit that analyzes changes in biological reactions of the user based on the moving image acquired by the moving image acquisition unit;
A video analysis system comprising a provision unit that provides the external device with the analysis result of the analysis unit,
The user reaction that cannot be input to the hardware input unit can be input to the hardware input unit or the hardware processing unit by using the analysis device.
Video image analysis system.

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