Eye fixation versus pupil diameter as eye- tracking features for virtual reality emotion classification
The usage of eye-tracking technology is becoming increasingly popular in machine learning applications, particularly in the area of affective computing and emotion recognition. Typically, emotion recognition studies utilize popular physiological signals such as electroencephalography (EEG), while th...
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| Main Authors: | , , |
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| Format: | Proceedings |
| Language: | English English |
| Published: |
Institute of Electrical and Electronics Engineers
2022
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| Subjects: | |
| Online Access: | https://eprints.ums.edu.my/id/eprint/33604/2/Eye%20fixation%20versus%20pupil%20diameter%20as%20eye-%20tracking%20features%20for%20virtual%20reality%20emotion%20classification.ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/33604/1/Eye%20fixation%20versus%20pupil%20diameter%20as%20eye-tracking%20features%20for%20virtual%20reality%20emotion%20classification.pdf https://eprints.ums.edu.my/id/eprint/33604/ https://ieeexplore.ieee.org/document/9673503 |
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| Institution: | Universiti Malaysia Sabah |
| Language: | English English |
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https://eprints.ums.edu.my/id/eprint/33604/2/Eye%20fixation%20versus%20pupil%20diameter%20as%20eye-%20tracking%20features%20for%20virtual%20reality%20emotion%20classification.ABSTRACT.pdfhttps://eprints.ums.edu.my/id/eprint/33604/1/Eye%20fixation%20versus%20pupil%20diameter%20as%20eye-tracking%20features%20for%20virtual%20reality%20emotion%20classification.pdf
https://eprints.ums.edu.my/id/eprint/33604/
https://ieeexplore.ieee.org/document/9673503