| dc.description.abstract | In the era of epidemic, the metaverse is flourishing and distance learning has become a mainstream tool. This research developed a cloud fitness system, combined with wearable inertial attitude sensor (IMU) and VR head-mounted display, using Unity as a virtual platform, and perform real-time motion skeleton analysis in the virtual world, demonstrate fitness movements and suggest exercise posture correction in the form of VR virtual fitness coaches in real sports venues, correct the user′s exercise posture to improve exercise efficiency, and record and analyze the user sports data. This system uses 12 inertial sensors, which are worn on the limbs, waist and back of the subject, and after the quaternion rotation data is transmitted to the computer, it is calculated by the inverse kinematics method to accurately obtain the motion posture of the human body, and presented as a 3D virtual character. The movement data can be recorded for subsequent analysis. On the user′s screen, in addition to the coach and its own 3D virtual skeleton, the text prompts for the angle value and posture correction of each part are displayed in real time. In the analysis of sports data, this study uses the dynamic time warping (DTW) method for the motion trajectories of each part to analyze the similarity between the user and the coach′s standard movements. The effectiveness of this study have been confirmed by experiments. After using the system, the five subjects gradually moved closer to the standard movements from the original wrong movements, and avoided sports injuries caused by wrong postures. In addition to being used in gyms, this system can be further extended to rehabilitation centers and even long-term care centers, allowing users to perform correct activities in each required scenario and obtain beneficial physical and mental results. Combining technology and sports to realize remote autonomous sports for all. | en_US |