|
|||||||||||||||||||||||||||||||||||||||||||||||||
|
|||||||||||||||||||||||||||||||||||||||||||||||||
ABSTRACT
Gaze behavior plays an important role in face to face communication in that it conveys nonverbal information and emotional intent beyond speech. This research proposes a computational framework for generating emotional gaze behavior in a virtual agent, concentrating on analysis and synthesis of primary and intermediate emotions through gaze behavior. We utilize parameters picked from the AU-Coded facial expression database and real-time eye movement data (pupil size, blink rate and saccade) to model primary emotions and describe a rule-based approach to generate intermediate ones. REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
INDEX TERMS
Primary Classification:
Additional Classification:
Keywords:
|
|||||||||||||||||||||||||||||||||||||||||||||||||