2015 | OriginalPaper | Buchkapitel
An Emotion Assessment Method Based on Supported Vector Data Description
verfasst von : Qun Wu, Haojie Zhou, Yongjian Zhou
Erschienen in: Computer Science and its Applications
Verlag: Springer Berlin Heidelberg
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An emotion assessment method based on supported vector data Description was proposed to get objective assessment of emotional states. Three different physiological signals of our participants were obtained including galvanic skin response, skin temperature, and ECG. Physiological indicators were considered model inputs, to guarantee the method real-time assessment; Supported Vector Data Description (SVDD) was used to infer affective states. The experimental results show that proposed method was useful.