WO2017200244A1

WO2017200244A1 - Psychiatric symptom evaluation system utilizing audio-visual content and bio-signal analysis

Info

Publication number: WO2017200244A1
Application number: PCT/KR2017/005000
Authority: WO
Inventors: 신호철; 이상훈; 김석민
Original assignee: 신호철
Priority date: 2016-05-18
Filing date: 2017-05-15
Publication date: 2017-11-23
Also published as: KR20170130207A; KR101854812B1

Abstract

A psychiatric symptom evaluation system utilizing audio-visual content and bio-signal analysis is disclosed. The present invention analyzes and interprets, in a morphological and ranked manner, bio-signal change patterns of patients or users who have been exposed to audio-visual content comprising psychiatric symptom-inducing factors or relating to psychiatric symptoms so as to objectively and accurately diagnose psychiatric symptoms and psychological states, thereby enabling diagnosis data to be utilized as objective evaluation data in clinical interviews.

Description

Psychosymmetry Evaluation System Using Audiovisual Contents and Biosignal Analysis

The present invention relates to a method for diagnosing psychiatric symptoms. Specifically, the present invention relates to an analysis of physiological and morphological patterns of patients or users who include psychotic symptoms or to audiovisual content related to mental symptoms. The present invention relates to a psychiatric symptom evaluation system using audiovisual content and biosignal analysis, which enables the diagnosis of psychological symptoms and psychological conditions to be used as an objective evaluation data during clinical interviews.

As society becomes more complex and competitive, various mental symptoms such as addiction diseases such as game addiction, depression and anxiety disorder, as well as stress, smoking and drinking addiction are increasing. However, mental symptoms are more difficult to express than medical symptoms such as headache or pain, and objective evaluation is difficult by clinical interview alone. Accordingly, the evaluation of mental symptoms is mostly done through interviews and questionnaires with patients and psychiatrists or psychological counselors in clinical practice.

However, the patient may hide or exaggerate the symptoms deliberately, and in children, objective evaluation may be difficult due to the limitation of language expression. To compensate for this, as disclosed in Korean Patent Laid-Open Publication No. 10-2014-0000389 (2014.21.03, publication), an objective evaluation through a questionnaire or questionnaire form or play is performed in parallel. However, there was also a problem that the objective evaluation was distorted if the patient did not understand the contents of the questionnaire or if the symptoms of the hospital or the facility did not properly express their symptoms in action.

Accordingly, an object of the present invention for solving the above problems is to objectively analyze and interpret patterns of biosignal changes of patients or users including psychotic symptoms causing factors or contact with audiovisual contents related to psychotic symptoms. It is to provide a psychological evaluation system using audiovisual content and biosignal analysis, which enables the diagnosis of psychological symptoms and psychological state to be accurately diagnosed, so that the diagnostic data can be used as an objective evaluation data during the interview in the clinic.

Psychotic symptom evaluation system using audiovisual content and bio-signal analysis according to an embodiment of the present invention for achieving the above object implements audiovisual content that selectively provides audiovisual content that includes psychotic symptoms or related to mental symptoms Device, a biosignal detection device which detects and biometrics a user's biosignal in contact with audio-visual content in real time and shares the data-signed biosignal information, and monitors the change state of the detected biosignal in real time and analyzes and analyzes the pattern of the biosignal change It includes a mental symptoms analysis module for determining the mental symptoms and psychological state of the user and output the evaluation results for the mental symptoms.

According to the psychological symptom evaluation system using the audiovisual content and the biosignal analysis according to the embodiment of the present invention described above, the pattern of the biosignal change of the patient or user who includes the psychotic symptoms causing factors or touches the audiovisual content related to the psychotic symptoms By analyzing and interpreting morphologically and ranking objectively, it is possible to objectively diagnose psychological symptoms and psychological conditions, so that the diagnostic data can be used as objective evaluation data during interviews in clinical practice. In this way, the diagnosis results can be used as an objective evaluation data when interviewing patients with mental symptoms in hospitals or various institutions, which can help diagnose the mental state accurately.

In addition, it can help patients or users to assess mental symptoms through remote medical care at home without visiting the facility or hospital, and can improve various mental symptoms through an analysis algorithm of contents including image and sound. Development is possible. In addition, since it is possible to evaluate the psychological state of the audiovisual content experience, there is an effect that can help to provide customized content in various industries.

1 is a schematic diagram showing the configuration of a psychological symptom evaluation system using audiovisual content and biosignal analysis according to an embodiment of the present invention.

FIG. 2 is a diagram illustrating in detail the configuration of the biosignal detecting apparatus illustrated in FIG. 1.

3 is a block diagram illustrating in detail the mental symptoms analysis module shown in FIG.

4 is a flowchart sequentially illustrating a process of determining a mental symptom according to an embodiment of the present invention.

5 is a flowchart sequentially illustrating a process of classifying and interpreting psychotic symptoms according to an exemplary embodiment of the present invention.

6 is a view for explaining a process of providing visual content related to mental symptoms.

FIG. 7 is a diagram for describing a process of classifying the detected biosignal patterns in a morphological and ranking order.

8 is a diagram for describing in detail a process of morphologically analyzing the detected biosignal pattern.

9 is a diagram for describing in detail a process of analyzing the detected biosignal patterns in a rank order.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

The psychotic symptom evaluation system shown in FIG. 1 includes an audiovisual content implementation apparatus 100 that selectively provides audiovisual contents including psychotic symptoms causing factors or psychotic symptoms, and detects and biometrics a user's biosignal in real time. The biosignal detection apparatus 200 sharing the biosignal information, which is data, and monitors the change state of the detected biosignal in real time, and analyzes and analyzes the pattern of the biosignal change to determine the mental symptoms and the psychological state of the user. It is configured to include a mental symptoms analysis module 300 for outputting the evaluation results for the mental symptoms.

In addition, while supporting the analysis process by providing the bio-signal analysis reference data to the mental symptom analysis module 300, while storing the evaluation results of the mental symptoms and mental symptoms determined in the mental symptom analysis module 300, the mental It may further include a management server (not shown) that includes the symptom-inducing factor or supports audiovisual content related to mental symptoms.

The audiovisual content implementing apparatus 100 displays and provides audiovisual content that is preset and selected by the mental symptom analysis module 300 so that a user may encounter audiovisual contents including a psychotic symptom-inducing factor or mental symptoms. Here, the audiovisual content related to the psychotic symptoms is set and classified step by step according to the type and level of the psychotic symptom causing factors in advance. Accordingly, the audiovisual content implementing apparatus 100 provides the audiovisual content to the patient or the user step by step to increase the level of the psychotic symptom causing factor under the control of the psychotic symptom analyzing module 300.

The patient or the user may have various mental symptoms related to stress disorders, as well as mental illnesses such as addiction disease, depression, and anxiety. Therefore, in order to determine the mental symptoms, the audiovisual contents set and classified according to the type and level of psychotic symptoms causing factors are provided step by step, and according to the pattern change analysis result of the bio signals detected at each stage. The mental symptoms are judged and evaluation results of the mental symptoms are derived.

In order to provide the audiovisual contents set and classified according to the types and levels of psychotic symptoms, the audiovisual content implementing apparatus 100 includes a video display screen, a video display panel, a virtual reality headset, a tablet mobile communication device, and the like. It is configured to include an image display module, and an audio module composed of a sound speaker, earphone or headset, etc. In addition, the fragrance expression module or haptic module may be further provided to provide olfactory or tactile content in stages. In particular, the audiovisual content implementing apparatus 100 may selectively use virtual reality, augmented reality, 3D hologram, or the like to provide more accurate content.

Referring to FIG. 2, the biosignal detection apparatus 200 illustrated in FIG. 2 detects and converts a biosignal of a user in contact with an audiovisual content in real time to share data. The biosignal detecting apparatus 200 may include a user's biosignal, for example, heart rate (HR), brain wave (EEG), electrocardiogram (ECG), electromyogram (EMG), skin resistance (GSR), HRV (heart rate variability). After real-time detection of a biosignal such as the like, the analog detection signal is converted into a digital data signal to share the data of the biosignal information.

In addition, the biosignal detection apparatus 200 detects and converts the biosignal of the user who has encountered the audiovisual content in real time into data and shares the dataized biosignal information. The biosignal detecting apparatus 200 may include a user's biosignal, for example, heart rate (HR), brain wave (EEG), electrocardiogram (ECG), electromyogram (EMG), skin resistance (GSR), HRV (heart rate variability). After detecting at least one biosignal such as pupil size, eye movement, facial muscle changes, etc. in real time, the analog detection signal is converted into a digital data signal to share the data.

In addition, the biosignal detecting apparatus 200 may collect eye tracking information and facial expression recognition information along with the biosignal information and share the same with the mental symptom analysis module 300. To this end, the biosignal detecting apparatus 200 includes a cerebral signal measuring unit 210, a heart signal measuring unit 220, a muscle signal measuring unit 230, a skin and body temperature signal measuring unit 240, and an A / D conversion. The unit 250 and the first communication unit 260 are provided.

In addition, the biosignal detecting apparatus 200 may further include an eyeball and a face signal measuring unit 270.

In detail, the cerebral signal measuring unit 210 detects EEG of a user who is in contact with audiovisual content in real time, measures an EEG signal in real time, and measures the measured signal using the A / D converter 250 and the first communication unit ( 260).

The cardiac signal measuring unit 220 detects the electrocardiogram (ECG) and HRV (heart rate variability) of the user who is in contact with the audiovisual content, measures the electrocardiogram and heart rate signal in real time, and converts the measured signal into an A / D converter ( 250) and the first communication unit 260.

The muscle signal measuring unit 230 detects EMG of the user in contact with the audiovisual content, measures the EMG signal in real time, and transmits the measured signal to the A / D converter 250 and the first communication unit 260. do.

The skin and body temperature signal measuring unit 240 detects the body temperature and skin resistance (GSR) of the user in contact with the audiovisual content, measures the skin resistance signal in real time, and converts the measured signal in real time into the A / D converter 250. And transmits to the first communication unit 260.

The eyeball and face signal measuring unit 270 detects changes in pupil size, eye movement, and facial muscles of the user in contact with audiovisual content to measure eye tracking information and facial expressions in real time, and measured eye tracking information and facial expressions in real time. The change is transmitted to the A / D converter 250 and the first communication unit 260.

The A / D converter 250 converts analog signals according to heart rate (HR), brain wave (EEG), electrocardiogram (ECG), electrocardiogram (EMG), skin resistance (GSR) and HRV (heart rate variability) into real-time digital data. The conversion is provided to the first communication unit 260.

In addition, the A / D converter 250 may include heart rate (HR), brain wave (EEG), electrocardiogram (ECG), electromyogram (EMG), skin resistance (GSR), HRV (heart rate variability), eye tracking information, and facial expression change. The analog signal is converted into real-time digital data and provided to the first communication unit 260.

The first communication unit 260 transmits EEG signals, ECG and heart rate signals, EMG signals, skin resistance, and body temperature signals to the psychological symptom analysis module 300 to be shared in real time.

In addition, the first communication unit 260 transmits EEG signals, electrocardiograms and heart rate signals, EMG signals, skin resistance and body temperature signals, eye tracking information, and facial expression changes to the psychological symptom analysis module 300 to be shared in real time.

The psychological symptom analysis module 300 illustrated in FIG. 3 controls the audiovisual content implementing apparatus 100 to provide the user or patient with the audiovisual contents including the psychotic symptom causing factors or the mental symptoms in a stepwise manner and selectively. At the same time, in real-time monitoring the state of change of the bio-signals detected by the bio-signal detection apparatus 200 in real time, and analyzes and interprets the change pattern of the bio-signals to determine the mental symptoms and psychological state of the user to evaluate the psychological symptoms Create and print

To this end, the mental symptom analysis module 300 transmits the image support providing unit 310, the biosignal pattern analysis unit 330, the biosignal display unit 320, the mental symptoms and psychological state determination results of the user or patient to the inside and the outside. It may be configured to include a second communication unit 360 to share.

In detail, the image support providing unit 310 of the psychotic symptom analysis module 300 implements audiovisual contents to provide the user or patient with staged and selectively provided audiovisual contents set and classified according to the type and level of the mental symptom inducing factor. Control 100. In the case of visual content among audiovisual contents, a video, a still image image, and a text image are combined to be sequentially provided for evaluation, but various images and texts may be combined in stages according to the types and levels of mental symptoms.

Referring to Table 1 below, the biosignal pattern analysis unit 330 monitors the change state of the biosignals detected by the biosignal detection apparatus 200 in real time, and sets the biosignal information in advance to set biosignal analysis reference data. By comparing with (Reference value), it analyzes and interprets the change pattern of the biosignal to determine the mental symptoms and psychological state of the user or patient. In this case, the biosignal display unit 320 digitizes or displays the graphicized biosignal information detected by the biosignal detection apparatus 200 so as to be visually confirmed by a user, a patient, a doctor, or an expert.

TABLE 1

Meanwhile, the biosignal pattern analyzer 330 classifies audiovisual contents provided in accordance with the state of change of the biosignal detected by the biosignal detection apparatus 200 in form and rank, and then forms and ranks them. By interpreting each form, the psychological symptoms and psychological state of the user or patient are judged based on the results of the analysis. To this end, the biosignal pattern analyzer 330 may be divided into a pattern classification controller 340 and a pattern analysis controller 350.

Looking at the psychological symptoms determination process in the psychological symptoms analysis module 300 according to an embodiment of the present invention configured as described above are as follows.

Referring to FIG. 4, first, in an audiovisual content implementing apparatus 100, a user may selectively and selectively set audiovisual content set and classified according to the type and level of a mental symptom-causing factor under the control of the psychotic symptom analysis module 300. To the patient. Accordingly, the biosignal pattern analyzer 330 detects a pattern in which a biosignal is changed according to a user's emotional change in which audiovisual content is provided in stages, and groups the audiovisual contents provided in accordance with a change state of the detected biosignal. By analyzing common content within the group, inferences related to mental symptoms are inferred and mental symptoms corresponding to the inferred accidents are judged.

Next, FIG. 5 is a flowchart sequentially illustrating a process of classifying and interpreting mental symptoms according to an exemplary embodiment of the present invention. 6 is a view for explaining a process of providing visual content related to mental symptoms.

Looking at the process of classifying and interpreting the mental symptoms with reference to FIG. 5, after the mental symptoms corresponding to the inferred accident are determined, audiovisual contents related to the determined mental symptoms are sequentially provided step by step.

As shown in FIG. 6, in the case of visual content among audiovisual contents, a video, a still image image, and a text image are combined to be sequentially provided for evaluation, but various images and texts are combined in stages according to types and levels of mental symptoms. Can be configured. Specifically, the moving image and the still image are presented to include contents related to factors related to mental symptoms such as marital conflict, traffic accident, work stress, fear of natural disaster, anger, stress, illness, and the like. Thus, when grouping the audiovisual contents provided according to the change state of the bio-signal, it can be classified formally.

Moving images and still images include key words that reflect the contents in the dictionary so that they can be used as a combination of key words in the biosignal analysis process. On the other hand, in the text image, each text image is provided in the form of a word, a clause, or a simple sentence, and is used as a combination of key words in the biosignal analysis process. Similarly, videos and still images are presented to include text related to factors associated with mental symptoms, such as marital conflict, traffic accidents, work stress, fear of natural disasters, anger, stress, illness, etc. When grouping the audiovisual contents which have been provided according to the change state, it can be classified formally.

As illustrated in FIG. 7, the biosignal pattern analysis unit 330 classifies audiovisual contents that have been provided according to the change state of the biosignal detected by the biosignal detection apparatus 200 in form and rank.

In detail, the pattern classification control unit 340 of the biosignal pattern analysis unit 330 classifies and classifies image or text images that show similar changes in biosignal variables such as EEG, ECG, and heart rate. . In the case of ranking classification, the degree of sympathetic nerve increase between biological signals is graded, and the image and text images are grouped in the order of high level to low level according to the level. In this case, the more severe the increased state, the more severe anxiety or psychological conflict can be judged.

Referring to FIG. 7, in the classification, the combinations of various biosignals, which indicate an increase in sympathetic nerves, may be classified into grades I, II, and III according to the degree, and the class III is most increased according to the level and grade. The image contents belonging to group III can be judged to be the group with the most emotional change. In other words, the degree of increase of the sympathetic nerve between the biological signals can be graded to classify the image image and the text image from high to low grade.

Next, the psychiatric symptoms and psychological state of the user or patient are judged based on the results of morphological and ranking analysis.

Referring to FIG. 8, the pattern analysis control unit 350 of the biosignal pattern analysis unit 330 combines key words representing image characteristics into grouped image and text image groups to form a property of a group. As an enemy.

In other words, in the form of interpretation, linguistic expressions are made by combining key words including meanings inherent in the classified images according to factors such as work stress, anger, and family discord. Referring to the example of FIG. 8, it can be seen that two groupings are performed by an image combination showing anger response due to work stress in a company and an image combination related to family discord. Here, in the case of morphological interpretation, it does not mean the degree of symptom, but may be duplicated or separate from the ranking interpretation reflecting the severity of symptoms by grouping images having similar emotional expression levels. have.

Referring to FIG. 8, the pattern analysis control unit 350 of the biosignal pattern analysis unit 330 combines key words meaning image characteristics into video image and text image groups classified in rank order to express the attribute of the group. As an enemy.

The degree of emotion change is determined for each of the classified I, II, and III grades by combining the levels of various biological signals according to the ranking classification information, and the result information related to the symptoms may be generated in the order of the grade according to the emotion change. In the example of FIG. 9, the conflict with the boss shows the greatest stress, the financial problems and the heavy workload in the company are relatively less, and the stress level is lowest for the problems of parenting or marital conflict in the family. have. That is, the image related to the symptom can be mainly determined to be related to the boss in the company, and the result information can be confirmed.

As described above, according to the psychiatric symptom evaluation system using the audiovisual content and the biosignal analysis according to an embodiment of the present invention, the biometrics of a patient or a user who includes the psychiatric symptom-inducing factor or encounters the audiovisual content related to the psychiatric symptoms By analyzing and interpreting signal change patterns in a morphological and orderly manner, it is possible to objectively diagnose psychological symptoms and psychological states so that diagnostic data can be used as an objective evaluation data during clinical interviews. In this way, the diagnosis results can be used as an objective evaluation data when interviewing patients with mental symptoms in hospitals or various institutions, which can help diagnose the mental state accurately.

Although the above has been described with reference to embodiments of the present invention, those skilled in the art may variously modify the present invention without departing from the spirit and scope of the present invention as set forth in the claims below. And can be changed.

Psychotic symptom evaluation system using audio-visual content and bio-signal analysis according to an embodiment of the present invention, the audio-visual content implementation device that selectively provides the audio-visual content that includes the psychotic symptoms or associated with the psychotic symptoms, the user of the audiovisual content A biosignal detection apparatus for detecting and realizing biosignal data in real time and sharing the data of the biosignal information, and monitoring the change state of the detected biosignal in real time and analyzing and interpreting the pattern of the biosignal change to analyze the user's mental symptoms and mental state. And a mental symptom analysis module that outputs evaluation results of mental symptoms, and includes patterns of changes in the biosignal patterns of patients or users who include psychotic factors or come into contact with audiovisual contents related to mental symptoms. Analyzing and interpreting rankings to objectively And during the hearing, the diagnostic data from a clinical interview by allowing the state to be accurately diagnosed can be used to make an objective assessment data. The results of the diagnosis can be used as objective evaluation data in interviews with patients with psychiatric symptoms in hospitals and various institutions, which can help to accurately diagnose the mental state and can be used in the overall medical industry.

Claims

An audiovisual content implementation device for selectively providing audiovisual content including a psychotic symptom-inducing factor or psychotic symptoms;

A biosignal detection device for detecting and realizing a biosignal of a user in contact with the audiovisual content in real time and sharing the dataized biosignal information; And

A mental symptom analysis module for real-time monitoring of the changed state of the detected biosignal, analyzing and interpreting the pattern of change of the biosignal to determine a mental symptom and a psychological state of the user, and outputting an evaluation result for the mental symptom;

Psychotic symptoms evaluation system using audiovisual content and bio-signal analysis comprising a.
The method of claim 1,

The audiovisual content implementing device

It includes a video display screen or a video display panel, or a video display module composed of at least one of a virtual reality headset or a tablet mobile communication device, and an audio module composed of sound speakers, earphones or headset,

The fragrance expression module or haptic module is further provided to provide olfactory or tactile content in stages.

Psychological evaluation system using audiovisual content and biosignal analysis, characterized in that virtual reality or augmented reality, 3D hologram is selectively used.
The method of claim 1,

The biological signal detection device

At least one bio-signal of a user's heart rate, EEG, electrocardiogram, electrocardiogram (EMG), skin resistance and HRV in contact with the audio-visual content is detected in real time, and the analogized detection signal is converted into a digital data signal to make the data biometric. In addition to sharing the signal information and sharing information with the mental symptoms analysis module,

Psychotic symptom evaluation system using the audio-visual content and bio-signal analysis to collect the eye tracking information and facial expression analysis analysis information of the user or patient and share with the mental symptom analysis module.
The method of claim 1,

The biological signal detection device

A cerebral signal measuring unit configured to measure an EEG signal by detecting an electroencephalogram (EEG) of the user in contact with the audiovisual content;

A cardiac signal measuring unit configured to detect an electrocardiogram (ECG) and HRV (heart rate variability) of the user in contact with the audiovisual content and measure an electrocardiogram and a heart rate variance signal;

Muscle signal measuring unit for measuring the EMG signal by detecting the EMG of the user in contact with the audio-visual content;

A skin and body temperature signal measuring unit configured to measure a skin resistance signal by detecting a body temperature and skin resistance of the user in contact with the audiovisual content;

Psychotic symptoms evaluation system using audiovisual content and bio-signal analysis comprising a.
The method of claim 1,

The mental symptom analysis module

In addition to controlling the audio-visual content implementation device to provide the user or patient with gradual and selective audio-visual content including or causing psychotic symptoms, at the same time, the bio-signal detection device detects the change state of the bio-signal detected in real time. Psychotic symptom evaluation system using audio-visual content and bio-signal analysis to generate and output evaluation results on mental symptoms by real-time monitoring and analyzing and interpreting patterns of changes in biological signals to determine mental symptoms and psychological state of users.
The method of claim 5,

The mental symptoms analysis module

An image support providing unit configured to control an audiovisual content implementing apparatus to provide audiovisual contents including psychotic symptoms causing factors or psychotic symptoms related to mental symptoms to a user or a patient in a stepwise manner;

Real-time monitoring of the change state of the bio-signals detected by the bio-signal detecting apparatus, and comparing and analyzing the data-signed bio-signal information with a predetermined bio-signal analysis reference data to analyze and interpret the change pattern of the bio-signals to A biosignal pattern analyzer for determining mental symptoms and mental states;

A biosignal display unit which digitizes or displays graphs of the data-formed biosignal information detected by the biosignal detection apparatus;

Psychotic symptoms evaluation system using audiovisual content and bio-signal analysis comprising a.
The method of claim 6,

The biosignal pattern analysis unit

A pattern classification controller which classifies the audiovisual contents provided in accordance with the state of change of the biosignals detected by the biosignal detection apparatus in terms of form and rank; And

A pattern analysis control unit which analyzes the audiovisual contents classified according to the morphological and ranking forms in the form and the ranking, respectively, and determines the mental symptoms and the psychological state of the user or the patient based on the morphological and ranking analysis results;

Psychotic symptoms evaluation system using audiovisual content and bio-signal analysis comprising a.
The method of claim 5,

The mental symptoms analysis module

Detecting a pattern in which a biosignal is changed according to a user's emotional change in which the audio-visual content set and classified according to the type and level of a psychotic symptom-causing factor is provided stepwise and selectively,

Audio-visual content and bio-signal analysis for inferring thoughts related to mental symptoms and determining mental symptoms corresponding to inferred accidents by grouping the audio-visual contents provided according to the detected state of the bio-signals and analyzing common contents in the same group. Symptom evaluation system using
The method of claim 1,

The biological signal detection device

A cerebral signal measuring unit configured to measure an EEG signal by detecting an electroencephalogram (EEG) of the user in contact with the audiovisual content;

A cardiac signal measuring unit configured to detect an electrocardiogram (ECG) and HRV (heart rate variability) of the user in contact with the audiovisual content and measure an electrocardiogram and a heart rate variance signal;

Muscle signal measuring unit for measuring the EMG signal by detecting the EMG of the user in contact with the audio-visual content;

A skin and body temperature signal measuring unit configured to measure a skin resistance signal by detecting a body temperature and skin resistance of the user in contact with the audiovisual content;

An eye and face signal measuring unit configured to measure eye tracking information and facial expression changes by detecting changes in pupil size, eye movement, and facial muscles of the user in contact with the audiovisual content;

Psychotic symptoms evaluation system using audiovisual content and bio-signal analysis comprising a.