TY - GEN
T1 - Towards affective sensing
AU - McIntyre, Gordon
AU - Göcke, Roland
PY - 2007
Y1 - 2007
N2 - This paper describes ongoing work towards building a multimodal computer system capable of sensing the affective state of a user. Two major problem areas exist in the affective communication research. Firstly, affective states are defined and described in an inconsistent way. Secondly, the type of training data commonly used gives an oversimplified picture of affective expression. Most studies ignore the dynamic, versatile and personalised nature of affective expression and the influence that social setting, context and culture have on its rules of display. We present a novel approach to affective sensing, using a generic model of affective communication and a set of ontologies to assist in the analysis of concepts and to enhance the recognition process. Whilst the scope of the ontology provides for a full range of multimodal sensing, this paper focuses on spoken language and facial expressions as examples.
AB - This paper describes ongoing work towards building a multimodal computer system capable of sensing the affective state of a user. Two major problem areas exist in the affective communication research. Firstly, affective states are defined and described in an inconsistent way. Secondly, the type of training data commonly used gives an oversimplified picture of affective expression. Most studies ignore the dynamic, versatile and personalised nature of affective expression and the influence that social setting, context and culture have on its rules of display. We present a novel approach to affective sensing, using a generic model of affective communication and a set of ontologies to assist in the analysis of concepts and to enhance the recognition process. Whilst the scope of the ontology provides for a full range of multimodal sensing, this paper focuses on spoken language and facial expressions as examples.
UR - http://www.scopus.com/inward/record.url?scp=38149086897&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-73110-8_44
DO - 10.1007/978-3-540-73110-8_44
M3 - Conference contribution
SN - 9783540731085
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 411
EP - 420
BT - Human-Computer Interaction
PB - Springer Verlag
T2 - 12th International Conference on Human-Computer Interaction, HCI International 2007
Y2 - 22 July 2007 through 27 July 2007
ER -