Department of Mechanical, Robotics, and Energy Engineering, Dongguk University, Seoul, Republic of Korea.
Machine Learning Systems Lab, College of Sports Science, Sungkyunkwan University, Suwon, Republic of Korea.
Front Public Health. 2023 Dec 19;11:1333776. doi: 10.3389/fpubh.2023.1333776. eCollection 2023.
This study aimed to address privacy concerns associated with video conferencing tools used in home-based exercise training. To that end, a method that could anonymize participants' appearances and exercise environments during at-home fitness sessions was proposed.
This method combines virtual reality for 3-D human-model rendering using key-points tracking with a virtual try-on system enhanced by UV mapping and instance segmentation. To validate the proposed method, we conducted a user study by recruiting participants to assess effectiveness of virtual reality and virtual try-on in terms of privacy protection, self-confidence, and coaching satisfaction.
Experimental results demonstrated the effectiveness and improved user experience of using virtual reality or virtual try-on in remote fitness, particularly in enhancing privacy protection and self-confidence with statistical significance. However, no significant differences were noted in coaching satisfaction.
These findings confirmed the efficacy of our proposed approach. We believe that the proposed approach can significantly contribute to the future of remote fitness training, offering a more secure and engaging environment for users, thereby potentially increasing adherence to fitness regimens and overall physical wellbeing.
本研究旨在解决居家运动训练中使用视频会议工具所带来的隐私问题。为此，我们提出了一种方法，可以在居家健身期间对参与者的外貌和运动环境进行匿名化处理。
该方法结合了基于关键点跟踪的 3D 人体模型渲染的虚拟现实技术，以及通过 UV 映射和实例分割增强的虚拟试穿系统。为了验证所提出的方法，我们进行了一项用户研究，招募参与者评估虚拟现实和虚拟试穿在隐私保护、自信和教练满意度方面的有效性。
实验结果表明，在远程健身中使用虚拟现实或虚拟试穿具有有效性和提升用户体验，尤其是在增强隐私保护和自信方面具有统计学意义。然而，在教练满意度方面没有显著差异。
这些发现证实了我们所提出方法的有效性。我们相信，所提出的方法可以为远程健身训练的未来做出重要贡献，为用户提供更安全、更具吸引力的环境，从而有可能提高对健身计划的依从性和整体身体健康水平。
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