Wearable Device Detection based on Physiological Parameters of Human Motion State

Huanpin Li

Institute of Physical Education, Hunan University of Science and Engineering, Yueyang, 425199, China

Abstract: In daily life, people inevitably need to perform manual labor ｏｒ exercise training. Detecting the human body's fatigue status in real time is conducive to the rational arrangement of people's daily work life, and to improve the efficiency of work ｏｒ training and avoid accidents. At present, most portable physiological parameter monitoring products mostly refer to clips, but finger clip type monitoring instruments are not suitable for real-time detection when people are doing sports. Because the vibration amplitude of the head during movement is relatively small, the signal collected on the head is more accurate than on the finger and does not affect the motion of the human. Therefore, the test instrument is head-mounted in the experiment. In this paper, we study wearable devices based on physiological parameters of human motion. The proposed methodology is based on the smart sensing framework and the simulation is conducted with Python flowchart. The simulation results show the effectiveness of the methodology.

Keywords: Multi-physiological parameters; Data monitoring; Realtime system; Dynamic identification; Smart sensing