Research Article
Towards Mimicry Recognition during Human Interactions: Automatic Feature Selection and Representation
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@INPROCEEDINGS{10.1007/978-3-642-30214-5_18, author={Xiaofan Sun and Anton Nijholt and Maja Pantic}, title={Towards Mimicry Recognition during Human Interactions: Automatic Feature Selection and Representation}, proceedings={Intelligent Technologies for Interactive Entertainment. 4th International ICST Conference, INTETAIN 2011, Genova, Italy, May 25-27, 2011, Revised Selected Papers}, proceedings_a={INTETAIN}, year={2012}, month={10}, keywords={mimicry representation human-human interaction human behavior analysis motion energy}, doi={10.1007/978-3-642-30214-5_18} }- Xiaofan Sun
Anton Nijholt
Maja Pantic
Year: 2012
Towards Mimicry Recognition during Human Interactions: Automatic Feature Selection and Representation
INTETAIN
Springer
DOI: 10.1007/978-3-642-30214-5_18
Abstract
During face-to-face interpersonal interaction people have a tendency to mimic each other, that is, they change their own behaviors to adjust to the behavior expressed by a partner. In this paper we describe how behavioral information expressed between two interlocutors can be used to detect and identify mimicry and improve recognition of interrelationship and affect between them in a conversation. To automatically analyze how to extract and integrate this behavioral information into a mimicry detection framework for improving affective computing, this paper addresses the main challenge: mimicry representation in terms of optimal behavioral feature extraction and automatic integration.
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