Are you ashamed? Can a gaze tracker tell?
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 ide...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
PeerJ Inc.
2016-08-01
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| Series: | PeerJ Computer Science |
| Subjects: | |
| Online Access: | https://peerj.com/articles/cs-75.pdf |
| _version_ | 1818031857430691840 |
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| author | Rytis Maskeliunas Vidas Raudonis |
| author_facet | Rytis Maskeliunas Vidas Raudonis |
| author_sort | Rytis Maskeliunas |
| collection | DOAJ |
| description | 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). |
| first_indexed | 2024-12-10T05:58:08Z |
| format | Article |
| id | doaj.art-a9124b6dc6df4988b38beabf2b8ce4df |
| institution | Directory Open Access Journal |
| issn | 2376-5992 |
| language | English |
| last_indexed | 2024-12-10T05:58:08Z |
| publishDate | 2016-08-01 |
| publisher | PeerJ Inc. |
| record_format | Article |
| series | PeerJ Computer Science |
| spelling | doaj.art-a9124b6dc6df4988b38beabf2b8ce4df2022-12-22T01:59:53ZengPeerJ Inc.PeerJ Computer Science2376-59922016-08-012e7510.7717/peerj-cs.75Are you ashamed? Can a gaze tracker tell?Rytis Maskeliunas0Vidas Raudonis1Department of Multimedia Engineering, Faculty of Informatics, Kaunas University of Technology, Kaunas, LithuaniaDepartment of Automation, Faculty of Electrical and Electronics Engineering, Kaunas University of Technology, Kaunas, LithuaniaOur 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).https://peerj.com/articles/cs-75.pdfCognitiveRecognitionEmotionsGaze-tracking |
| spellingShingle | Rytis Maskeliunas Vidas Raudonis Are you ashamed? Can a gaze tracker tell? PeerJ Computer Science Cognitive Recognition Emotions Gaze-tracking |
| title | Are you ashamed? Can a gaze tracker tell? |
| title_full | Are you ashamed? Can a gaze tracker tell? |
| title_fullStr | Are you ashamed? Can a gaze tracker tell? |
| title_full_unstemmed | Are you ashamed? Can a gaze tracker tell? |
| title_short | Are you ashamed? Can a gaze tracker tell? |
| title_sort | are you ashamed can a gaze tracker tell |
| topic | Cognitive Recognition Emotions Gaze-tracking |
| url | https://peerj.com/articles/cs-75.pdf |
| work_keys_str_mv | AT rytismaskeliunas areyouashamedcanagazetrackertell AT vidasraudonis areyouashamedcanagazetrackertell |