Human emotion classification based on multiple physiological signals by wearable system.

Journal: Technology and health care : official journal of the European Society for Engineering and Medicine
Published Date: Jan 1, 2018

Abstract

BACKGROUND: Human emotion classification is traditionally achieved using multi-channel electroencephalogram (EEG) signal, which requires costly equipment and complex classification algorithms.

Authors

  • Xin Liu
    Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences, Weifang, Shandong, China.
  • Qisong Wang
    School of Electrical Engineering and Automaton, Harbin Institute of Technology, Harbin, Heilongjiang, China.
  • Dan Liu
    Department of Bioengineering, Temple University, Philadelphia, PA, United States.
  • Yuan Wang
    State Key Laboratory of Soil and Sustainable Agriculture, Changshu National Agro-Ecosystem Observation and Research Station, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, China.
  • Yan Zhang
    Affiliated Hospital of Liaoning University of Traditional Chinese Medicine, Shenyang, 110032, China.
  • Ou Bai
    Department of Electrical and Computer Engineering, Florida International University, MI, USA.
  • Jinwei Sun
    School of Electrical Engineering and Automaton, Harbin Institute of Technology, Harbin, Heilongjiang, China.

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