A multi-modal emotion recognition system for persistent and non-invasive personal health monitoring

Authors:
Xiaoqing Liu;Lei Zhang;Jacob Yadegar
Affiliations:
UtopiaCompression Corporation, Los Angeles, CA;UtopiaCompression Corporation, Los Angeles, CA;UtopiaCompression Corporation, Los Angeles, CA
Venue:
Proceedings of the 2nd Conference on Wireless Health
Year:
2011

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Abstract

We present a multi-modal emotion recognition system for persistent and non-invasive personal health monitoring. Our system is capable of effectively estimating human emotional states through analyzing and fusing a number of non-invasive external cues (such as facial expression, body posture, and voice intonation) in a systematic way through utilizing a probabilistic information fusion model.