TY - GEN
T1 - Automatic inference of interaction occasion in multiparty meetings
T2 - 4th International Conference on Human-Centric Computing, HumanCom'11 and the 6th International Conference on Embedded and Multimedia Computing, EMC'11
AU - Yu, Zhiwen
AU - Zhou, Xingshe
PY - 2011
Y1 - 2011
N2 - In this paper, we propose an automatic multimodal approach for inferring interaction occasions (spontaneous or reactive) in multiparty meetings. A variety of features such as head gesture, attention from others, attention towards others, speech tone, speaking time, and lexical cue are integrated. A support vector machines classifier is used to classify interaction occasions based on these features. Our experimental results verified that the proposed approach was really effective, which successfully inferred the occasions of human interactions with a recognition rate by number of 0.870, an accuracy by time of 0.773, and a class average accuracy of 0.812. We also found that the reactive interactions are easier to recognize than the spontaneous ones, and the lexical cue is very important in detecting spontaneous interactions.
AB - In this paper, we propose an automatic multimodal approach for inferring interaction occasions (spontaneous or reactive) in multiparty meetings. A variety of features such as head gesture, attention from others, attention towards others, speech tone, speaking time, and lexical cue are integrated. A support vector machines classifier is used to classify interaction occasions based on these features. Our experimental results verified that the proposed approach was really effective, which successfully inferred the occasions of human interactions with a recognition rate by number of 0.870, an accuracy by time of 0.773, and a class average accuracy of 0.812. We also found that the reactive interactions are easier to recognize than the spontaneous ones, and the lexical cue is very important in detecting spontaneous interactions.
KW - Interaction occasion
KW - Multimodal recognition
KW - Multiparty meeting
UR - http://www.scopus.com/inward/record.url?scp=80052105327&partnerID=8YFLogxK
U2 - 10.1007/978-94-007-2105-0_14
DO - 10.1007/978-94-007-2105-0_14
M3 - 会议稿件
AN - SCOPUS:80052105327
SN - 9789400721043
T3 - Lecture Notes in Electrical Engineering
SP - 125
EP - 134
BT - Proceedings of the International Conference on Human-Centric Computing 2011 and Embedded and Multimedia Computing 2011, HumanCom and EMC 2011
Y2 - 11 August 2011 through 13 August 2011
ER -