Author(s)

LiNing Yuan¹, SenSong Liang^1*, SuZhen Luo²

Affiliation(s)

¹School of Information Technology, Guangxi Police College, Nanning 530028, Guangxi, China.

²Ministry of Public Sports, Guangxi Police College, Nanning 53028, Guangxi, China.

Corresponding Author

SenSong Liang

ABSTRACT

As the complexity and hazards associated with police work continue to escalate, law enforcement officers are increasingly susceptible to physical injuries. This study investigates the application of police sports rehabilitation technology that utilizes multi-sensor data, with the objective of acquiring comprehensive and precise rehabilitation information through the integration of multi-sensor data. The research aims to facilitate accurate analysis and the development of tailored rehabilitation programs by employing advanced algorithms. This article delineates the critical importance of multi-sensor data in the context of police sports rehabilitation, encompassing the monitoring of motion postures and the assessment of physiological parameters. Furthermore, it delves into the methodologies and technologies pertinent to multi-sensor data fusion, as well as strategies for customizing and optimizing rehabilitation programs based on data-driven approaches. The findings of this study provide substantial support for the physical rehabilitation of police officers and their reintegration into the workforce, underscoring its significant practical implications and application value.

KEYWORDS

Multi-sensor data; Police sports rehabilitation; Data fusion; Rehabilitation program optimization

CITE THIS PAPER

LiNing Yuan, SenSong Liang, SuZhen Luo. Police sports rehabilitation technology utilizing multi-sensor data. Eurasia Journal of Science and Technology. 2025, 7(4): 1-6. DOI: https://doi.org/10.61784/ejst3094.

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