Affiliations: School of Physical Education, Yanching Institute of Technology, Langfang, Hebei, China
Correspondence:
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Corresponding author: Bin Li, School of Physical Education, Yanching Institute of Technology, Langfang, Hebei 065201, China. E-mail: lib8506@163.com.
Abstract: With the arrival of sports wave, it is increasingly important to measure the posture of human body in movement. Aiming at the problems of low measurement accuracy and long measurement time in the traditional sports posture measurement algorithm, a sports posture measurement algorithm based on multi-sensor combination is proposed. The acceleration sensor, gyroscope and magnetoresistive sensor are combined to collect the sports posture data. The sliding mean filtering method and Z-score standardization method are used to reduce the noise and standardize the collected data. Based on the data processing results, the sports state is divided according to the dispersion characteristics, and the posture of any joint node is judged. According to the judgment results, the sports posture is measured. The simulation results show that the proposed method has less error, higher measurement accuracy and shorter measurement time. It can provide theoretical support for the practical application of motion attitude measurement.
