Human activity recognition for analyzing stress behavior based on Bi-LSTM.

Journal: Technology and health care : official journal of the European Society for Engineering and Medicine
Published Date: Jan 1, 2023

Abstract

BACKGROUND: Stress is one of the critical health factors that could be detected by Human Activity Recognition (HAR) which consists of physical and mental health. HAR can raise awareness of self-care and prevent critical situations. Recently, HAR used non-invasive wearable physiological sensors. Moreover, deep learning techniques are becoming a significant tool for analyzing health data.

Authors

  • Phataratah Sa-Nguannarm
    Division of Computer Science and Engineering, Sun Moon University, Asan, South Korea.
  • Ermal Elbasani
    Department of Computer Science and Engineering, Sun Moon University, Asan 31460, Republic of Korea.
  • Jeong-Dong Kim
    Department of Computer Science and Engineering, Sun Moon University, Asan 31460, Republic of Korea.

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