TY - GEN
T1 - Audio-visual affect recognition in activation-evaluation space
AU - Zeng, Zhihong
AU - Zhang, Zhenqiu
AU - Pianfetti, Brian
AU - Tu, Jilin
AU - Huang, Thomas S.
PY - 2005
Y1 - 2005
N2 - The ability of a computer to detect and appropriately respond to changes in a user's affective state has significant implications to Human-Computer Interaction (HCI). To more accurately simulate the human ability to assess affects through multi-sensory data, automatic affect recognition should also make use of multimodal data. In this paper, we present our efforts toward audio-visual affect recognition. Based on psychological research, we have chosen affect categories based on an activation-evaluation space which is robust in capturing significant aspects of emotion. We apply the Fisher boosting learning algorithm which can build a strong classifier by combining a small set of weak classification functions. Our experimental results show with 30 Fisher features, the testing error rates of our bimodal affect recognition is about 16% on the evaluation axis and 13% on the activation axis.
AB - The ability of a computer to detect and appropriately respond to changes in a user's affective state has significant implications to Human-Computer Interaction (HCI). To more accurately simulate the human ability to assess affects through multi-sensory data, automatic affect recognition should also make use of multimodal data. In this paper, we present our efforts toward audio-visual affect recognition. Based on psychological research, we have chosen affect categories based on an activation-evaluation space which is robust in capturing significant aspects of emotion. We apply the Fisher boosting learning algorithm which can build a strong classifier by combining a small set of weak classification functions. Our experimental results show with 30 Fisher features, the testing error rates of our bimodal affect recognition is about 16% on the evaluation axis and 13% on the activation axis.
UR - http://www.scopus.com/inward/record.url?scp=33750541017&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33750541017&partnerID=8YFLogxK
U2 - 10.1109/ICME.2005.1521551
DO - 10.1109/ICME.2005.1521551
M3 - Conference contribution
AN - SCOPUS:33750541017
SN - 0780393325
SN - 9780780393325
T3 - IEEE International Conference on Multimedia and Expo, ICME 2005
SP - 828
EP - 831
BT - IEEE International Conference on Multimedia and Expo, ICME 2005
T2 - IEEE International Conference on Multimedia and Expo, ICME 2005
Y2 - 6 July 2005 through 8 July 2005
ER -