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Article type: Review Article
Authors: Li, Xiaohuia; b | Fan, Dongfangc | Feng, Junjiea | Lei, Yud; * | Cheng, Chaoe; ** | Li, Xiangnanf
Affiliations: [a] Department of Wushu, Shaolin Wushu College, Zhengzhou, 452470, China | [b] Department of History and Pakistan, University of the Punjab, Lahore, Pakistan | [c] Wushu College, Henan University, ZhengZhou, 450000, China | [d] Hunan International Economics University, Changsha, China | [e] Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun, China | [f] Yantai Science and Technology Innovation Promotion Center, Yantai, China
Correspondence: [*] Corresponding author. E-mail: rwysxy@hieu.edu.cn.
Correspondence: [**] Corresponding author. E-mail: chengchao@jlu.edu.cn.
Abstract: In the modern era of sports training, the synergy between motion capture and Virtual Reality (VR) offers an innovative approach to enhancing training precision. This systematic review delves into the application of motion capture within VR for sports training, highlighting its transformative potential. Through a comprehensive literature search, we examined the myriad applications, from physical conditioning enhancements to accelerated rehabilitation processes. Our findings underscore the capability of real-time feedback, immersive training environments, and tailored regimes that this fusion provides. However, despite its promise, challenges such as hardware constraints, data processing complexities, and interaction interface limitations persist. Future trajectories indicate an increasing influence of AI and deep learning, promising more sophisticated hardware and a broader spectrum of applications, including niche sports disciplines. The review concludes with an emphasis on the wider societal implications, suggesting a shift towards a holistic athlete well-being approach.
Keywords: Virtual reality, motion Capture, sports training, immersive experience, real-time feedback, injury prevention
DOI: 10.3233/AIS-230198
Journal: Journal of Ambient Intelligence and Smart Environments, vol. Pre-press, no. Pre-press, pp. 1-23, 2024
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