用于持续和非侵入性个人健康监测的多模态情感识别系统

Proceedings Wireless Health ... [electronic resource]. Wireless Health (Conference) Pub Date : 2011-10-10 DOI:10.1145/2077546.2077577

Xiaoqing Liu, Lei Zhang, J. Yadegar

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引用次数: 1

摘要

我们提出了一种多模态情感识别系统，用于持续和非侵入性的个人健康监测。我们的系统能够通过利用概率信息融合模型，系统地分析和融合许多非侵入性的外部线索(如面部表情、身体姿势和语音语调)，从而有效地估计人类的情绪状态。

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

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.

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Proceedings Wireless Health ... [electronic resource]. Wireless Health (Conference)

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