Extraction and Analysis of Chaotic Characteristics about Multiple Physiological Signals under Different Emotions

DOI

10.2991/amcce-15.2015.331How to use a DOI?

Keywords

multiple physiological signals; emotion recognition; chaos

Abstract

We extract the chaotic characteristics of multiple physiological signals in this paper, and the relevant algorithms for extracting chaotic characteristics are given respectively. Based on different algorithms we respectively calculate four kinds of chaotic characteristic parameters from multiple physiological signals, such as maximum Lyapunov exponent, the correlation dimension, approximate entropy and complexity, to make them connect with the connotation of physiological signals not through the emotions. If we establish chaotic characteristic matrix by the extracted chaotic characteristic parameters, use the classifier to map the chaotic characteristics to a given category, so the problem of emotion analysis based on the multiple physiological signals is converted to the problem of classification in pattern recognition, which lay a foundation for better emotion recognition.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Chun yan Nie
AU  - Ju Wang
AU  - Fang He
AU  - Reika Sato
PY  - 2015/04
DA  - 2015/04
TI  - Extraction and Analysis of Chaotic Characteristics about Multiple Physiological Signals under Different Emotions
BT  - Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.331
DO  - 10.2991/amcce-15.2015.331
ID  - Nie2015/04
ER  -