Détection automatique des groupes d'interactions
Pages 201 - 204
Abstract
This work brings a new perception to intelligent environments for human activity recognition. To understand human activities, we need to differentiate users concerned and their interpersonal links. We propose a new group interaction detection tool based on an assumption that conversational turn taking is synchronized inside groups. We assess HMM-based and algorithmic approaches to build a detector which is able to segment interaction groups from speech detection. Both approaches show good results thus confirm the conversational hypothesis.
References
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Index Terms
- Détection automatique des groupes d'interactions
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Association for Computing Machinery
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Publication History
Published: 31 May 2005
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