Feature extraction of EEG signals based on functional data analysis and its application to recognition of driver fatigue state.

Journal: Physiological measurement
Published Date: Jan 1, 2021

Abstract

OBJECTIVE: Our objective is to study how to obtain features which can reflect the continuity and internal dynamic changes of electroencephalography (EEG) signals and study an effective method for fatigued driving state recognition based on the obtained features.

Authors

  • Pengpeng Shangguan
    Department of Computer, Nanchang University, Nanchang Jiangxi, 330029, People's Republic of China.
  • Taorong Qiu
    Department of Computer, Nanchang University, Nanchang Jiangxi, 330029, People's Republic of China.
  • Tao Liu
    Institute of Urology and Nephrology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
  • Shuli Zou
    Department of Computer, Nanchang University, Nanchang Jiangxi, 330029, People's Republic of China.
  • Zhuo Liu
    Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Siwei Zhang
    Department of Computer, Nanchang University, Nanchang Jiangxi, 330029, People's Republic of China.

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