Abstract: The disclosure is related to a method and system for evaluating advertising effects of video content. The evaluation method includes presenting video content including a character to a viewer through a display, extracting pieces of facial micro-movement data (MMD) of the character in the video content and the viewer, while the viewer watches the video content, calculating a similarity of the MMD of the character and the MMD of the viewer, and calculating an advertising effect score of the video content on the basis of the similarity.

Abstract: The disclosure is related to a method and system for evaluating advertising effects of video content. The evaluation method includes presenting video content including a character to a viewer through a display, extracting pieces of facial micro-movement data (MMD) of the character in the video content and the viewer, while the viewer watches the video content, calculating a similarity of the MMD of the character and the MMD of the viewer, and calculating an advertising effect score of the video content on the basis of the similarity.

Abstract: The present disclosure provides a method and system for emotional evaluation based on heart-face movement synchronization. The evaluation method extracts a subject's facial image and heart information, extracts micro-movement data of an action unit (AU) defined in a face region from the facial image, extracts heart-evoked micro-movement (HEMM) data from micro-movement data in synchronization with a heartbeat characteristic signal obtained from heart information, extracts one or more characteristic parameters for the AU movement from the HEMM, evaluates the emotion of the subject using the characteristic parameter.

Abstract: Provided is an empathy evaluation method and apparatus using video characteristics information. The empathy evaluation method includes establishing a video database by collecting a plurality of video clips, classifying and labeling each of the video clips by empathy, preparing training data by extracting a region of interest (ROI) video from each of the video clips and extracting physical characteristics from the ROI video, generating a video characteristics model file obtained through learning using the training data include 2 labels(empathy/non-empathy) vector that is calculated by the difference between the metric measurement size trained with respect to the video characteristics. Test video into the system can automatically judge the empathy evaluation of video.

Abstract: Provided is an emotional contagion evaluating method and apparatus using an electrocardiogram (ECG). The emotional contagion evaluating method includes: detecting ECG raw signals of two test participants involved in social interactions by using an ECG sensor; extracting ECG signals digitized by sampling the ECG raw signals at a certain sampling frequency; extracting R-peak to R-peak intervals (RRIs) from the ECG signals; extracting heart rhythm patterns (HRPs) from the RRIs; calculating a correlation coefficient (r) by using the HRPs of the two test participants; and evaluating emotional contagion between the two test participants by using the correlation coefficient (r).

Abstract: A method of extracting facial movement information capable of effectively canceling noise includes: obtaining an image of a subject's face with a camera; extracting raw data on facial movement from the image; detecting macro movement data from the raw data; and removing the macro movement component from the raw data to obtain refined micro movement data.

Abstract: Provided are a method and system for detecting information of brain-heart connectivity, the method comprising: obtaining moving images of a pupil and an electrocardiogram (ECG) signal from a subject; acquiring a pupil size variation (PSV) from the moving images by separating the moving images at a predetermined time range after R-peak of the ECG signal; extracting signals of a first period and a second period from the PSV; calculating alpha powers of the signals of the first and second periods at predetermined frequencies respectively.

Abstract: Provided are a method and system for detecting time-domain cardiac information, the method comprising: obtaining moving images of a pupil from a subject; extracting a pupil size variation (PSV) from the moving images; calculating R-peak to R-peak intervals (RRIs) in a predetermined frequency range from the PSV; and obtaining at least one time-domain cardiac parameter by processing the RRIs.

Abstract: A method of extracting facial movement information capable of effectively canceling noise includes obtaining an image of a subject's face with a camera, extracting raw data on facial movement from the image, detecting macro movement data from the raw data, and removing the macro movement component from the raw data to obtain refined micro movement data.

Abstract: A system for predicting an emotion of a user by using a web content includes a URL collection unit for collecting a URL of a web page; a representative URL selection unit for selecting a category-specific representative URL, a basic emotion-specific representative URL, and a dimensional emotion-specific representative URL according to contents included in a plurality of collected URLs; a representative vocabulary set creation unit for creating vocabulary sets representing a category, a basic emotion, and a dimensional emotion, respectively, on the basis of the selected representative URLs; a vocabulary extraction unit for crawling a plurality of texts; and a selection unit for comparing document similarities between the plurality of extracted vocabularies and the vocabulary sets.

Abstract: A social intimacy determining method includes detecting electrocardiogram (ECG) data from at least two subjects; detecting heart rhythm pattern (HRP) data from ECG signals of the two subjects; and determining a relationship (intimacy) between the two subjects by comparing the HRP data of the two subjects.

Abstract: Provided are a method and system for noncontact vision-based 3D cognitive fatigue measuring. The method comprises: acquiring pupil images of a subject exposed to visual stimuli; extracting a task evoked pupillary response (TEPR) by using the pupil images; detecting dominant peaks from the TEPR; calculating latency of dominant peaks; and determining cognitive fatigue of the subject by comparing a value of the latency to a predetermined reference value.

Abstract: A white noise generating apparatus for stress relaxation and concentration improvement includes: a headset including a microphone for outputting the voice to a communication line, a sound outputting unit for outputting the voice inputted from the communication line, and a sensing unit which is capable of sensing at least one of a pulse wave, a skin current, a skin temperature, and a white noise generator including a stress calculating unit for calculating a stress index from the voice outputted from the microphone, a white noise generating unit for generating white noise and outputting same to the sound output unit, and a control unit for controlling the white noise generating unit to output white noise sound in accordance with the stress index calculated from the stress calculating unit so that the stress level may be normal.

Abstract: A method of producing a realistic virtual avatar by using a change in a pupil size according to heartbeats. The method tracks and records, in real time, a change in a pupil size of the actual user according to heartbeats of the actual user and applies the same to an eye model of a virtual avatar so as to synchronize the pupil size of the eye model with the pupil size of the actual user.

Abstract: A method of extracting heart information from a body micro-movement is provided. The method includes a face tracking step, a frame difference averaging step, smoothing filtering step, and a sliding peak detection step.

Abstract: Provided are a method and system for detecting frequency-domain cardiac information, the method comprising: acquiring moving images of a pupil from a subject; extracting a pupil size variation (PSV) from the moving images; extracting a heart rate variability (HRV) spectrum by performing a processing procedure including frequency-analysis of HRV; and calculating power of at least one of a plurality of frequency bands by analysis of the HRV spectrum.

Abstract: A method for determining a social relationship includes detecting electrocardiogram (ECG) data from at least two subjects, detecting heart rhythm coherence (HRC) data from the ECG signals of the two subjects, and determining a relationship (intimacy) between the two subjects by comparing the HRC data of the two subjects.

Abstract: Provided are a method and system for detecting information of brain-heart connectivity, the method comprising: obtaining moving images of a pupil and an electrocardiogram (ECG) signal from a subject; acquiring a pupil size variation (PSV) from the moving images by separating the moving images at a predetermined time range after R-peak of the ECG signal; extracting signals of a first period and a second period from the PSV; calculating alpha powers of the signals of the first and second periods at predetermined frequencies respectively.

Abstract: Provided are a method and system for detecting time-domain cardiac information, the method comprising: obtaining moving images of a pupil from a subject; extracting a pupil size variation (PSV) from the moving images; calculating R-peak to R-peak intervals (RRIs) in a predetermined frequency range from the PSV; and obtaining at least one time-domain cardiac parameter by processing the RRIs.

Abstract: Provided are a method and system for non-contact measurement of an electroencephalogram (EEG) spectrum based on pupillary variation. To infer the EEG spectrum from moving images of a subject's pupil, the method includes obtaining moving images of the pupil from the subject, extracting data of pupillary variation from the moving images, extracting a plurality of signals for a plurality of frequency bands based on frequency analysis, and calculating outputs of the plurality of the signals to be used as parameters of a brain-frequency domain.