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Communication Dans Un Congrès Année : 2015

Perceiving user's intention-for-interaction: A probabilistic multimodal data fusion scheme

Résumé

Understanding people's intention, be it action or thought, plays a fundamental role in establishing coherent communication amongst people, especially in non-proactive robotics, where the robot has to understand explicitly when to start an interaction in a natural way. In this work, a novel approach is presented to detect people's intention-for-interaction. The proposed detector fuses multimodal cues, including estimated head pose, shoulder orientation and vocal activity detection, using a probabilistic discrete state Hidden Markov Model. The multimodal detector achieves up to 80% correct detection rates improving purely audio and RGB-D based variants.
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Dates et versions

hal-01228978 , version 1 (16-11-2015)

Identifiants

Citer

Christophe Mollaret, Alhayat Ali Mekonnen, Isabelle Ferrané, Julien Pinquier, Frédéric Lerasle. Perceiving user's intention-for-interaction: A probabilistic multimodal data fusion scheme. IEEE International Conference on Multimedia and Expo (ICME 2015), Jun 2015, Turin, Italy. pp.6, ⟨10.1109/ICME.2015.7177514⟩. ⟨hal-01228978⟩
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