Title: Sports injury detection mechanism based on multi-sensor fusion

Authors: Zun Liu; Xue Han; Yi Yang; Wei Wang; Fuquan Liu

Addresses: CangZhou Medical College, Cangzhou, China ' CangZhou Medical College, Cangzhou, China ' CangZhou Medical College, Cangzhou, China ' CangZhou Medical College, Cangzhou, China ' CangZhou Medical College, Cangzhou, China

Abstract: Cardiovascular disease and muscle damage caused by human sports injuries are increasing. Therefore, it is of great research significance to greatly reduce the damage to the human body through sports injury monitoring, detecting the degree of injury, and taking effective measures in time. In this paper, we propose a sports injury detection mechanism based on multi-sensor fusion. First, we determine the motion area of the human body by computing the cumulative difference between frames. Second, we utilise wavelet method and AutoEncoder model to design two feature extraction methods. Third, we combine the extracted features to detect the sports injuries. The experimental results verify the effectiveness of our proposed method.

Keywords: sports injury detection; multi-sensor fusion; neural network; feature extraction.

DOI: 10.1504/IJCAT.2023.132094

International Journal of Computer Applications in Technology, 2023 Vol.71 No.3, pp.229 - 236

Received: 21 Apr 2022
Received in revised form: 20 May 2022
Accepted: 30 May 2022
Published online: 11 Jul 2023 *

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