Methodology and Design for Assessing the Normative Exercise Posture of Young Females in Media-Home Fitness with Motion Capture Technology

Abstract

The pandemic has altered some females’ perspectives on fitness, home settings have become a more popular exercise venue than gyms, particularly among young females. In this study, through a survey of 160 young females, it was found that most prefer to engage in low to moderate intensity exercises during home fitness. It is noteworthy that 86% of young females expressed that playing media content during exercise would distract their attention, leading to difficulty in maintaining proper form throughout the workout. This study aims to optimize the home exercise experience for young females and reduce the risk of physical injury caused by improper exercise posture resulting from excessive immersion in media playback content. During testing, six young female participants were recorded using the AI motion capture tool “Plask” while performing an experimental task (rotating hula hoops) with and without media playback, measuring their conscious state and body posture. The experimental results demonstrate that the use of the AI motion capture tool can effectively obtain the movement parameters and limb data of participants from different perspectives. This helps health experts better analyze participants’ exercise perception behavior and identify issues in young females’ home exercise routines. Based on the evaluation results, a set of exercise reminder programs has been designed in this study to assist young females in maintaining exercise regularity through periodic reminders. Through usability testing, it has been demonstrated that this design can effectively enhance the positive effects of home fitness for young females.