Emotion Recognition Based on Chaos Characteristics of Physiological Signals

Chun Yan Nie; Rui Li; Ju Wang

doi:10.4028/www.scientific.net/AMM.380-384.3750

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 380-384Emotion Recognition Based on Chaos Characteristics...

Emotion Recognition Based on Chaos Characteristics of Physiological Signals

Abstract:

Changes of physiological signals are affected by human emotions, but also the emotional fluctuations are reflected by the body's variation of physiological signal's feature. Physiological signal is a non-linear signal ,nonlinear dynamics and biomedical engineering ,which based on chaos theory, providing us a new method for studying on the parameters of these complex physiological signals which can hardly described by the classical theory. This paper shows physiological emotion signal recognition system based on the chaotic characteristics, and than describes some current applications of chaotic characteristics for multiple physiological signals on emotional recognition.

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Periodical:

Applied Mechanics and Materials (Volumes 380-384)

Pages:

3750-3753

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.380-384.3750

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Online since:

August 2013

Authors:

Chun Yan Nie, Rui Li, Ju Wang

Keywords:

Chaotic Characteristics, Emotion Recognition, Multiple Physiological Signals

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