Are you ashamed? Can a gaze tracker tell? | Zendy

Rytis Maskeliūnas | Zendy; Vidas Raudonis | Zendy

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Are you ashamed? Can a gaze tracker tell?

Author(s) -

Rytis Maskeliūnas,

Vidas Raudonis

Publication year - 2016

Publication title -

peerj computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.806

H-Index - 24

ISSN - 2376-5992

DOI - 10.7717/peerj-cs.75

Subject(s) - disgust , gaze , interval (graph theory) , identification (biology) , computer science , range (aeronautics) , pleasure , cognitive psychology , psychology , artificial intelligence , computer vision , social psychology , mathematics , engineering , anger , botany , combinatorics , neuroscience , biology , aerospace engineering

Our aim was to determine the possibility of detecting cognitive emotion information (neutral, disgust, shameful, “sensory pleasure”) by using a remote eye tracker within an approximate range of 1 meter. Our implementation was based on a self-learning ANN used for profile building, emotion status identification and recognition. Participants of the experiment were provoked with audiovisual stimuli (videos with sounds) to measure the emotional feedback. The proposed system was able to classify each felt emotion with an average of 90% accuracy (2 second measuring interval)

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