A machine learning approach to predict emotional arousal and valence from gaze extracted features.
Vasileios SkaramagkasEmmanouil KtistakisDimitris ManousosNikolaos S. TachosEleni KazantzakiEvanthia E. TripolitiDimitrios I. FotiadisManolis TsiknakisPublished in: BIBE (2021)
Keyphrases
- extracted features
- emotional state
- feature extraction
- emotion recognition
- facial expressions
- positive and negative
- eye tracking
- feature set
- classification rate
- healthy subjects
- gabor filters
- visual attention
- eye movements
- eye tracker
- head movements
- visual search
- eye tracking data
- image processing
- pattern recognition
- affective states
- decision trees
- additional features