55 Taiwan Sporting Goods Manufacturers Association Application Scenario 1: Real-Time Technical Corrections in Competitive Sports In professional sports training, markerless technology has already been widely applied in basketball, baseball, track and field, and other sports. For example, NBA teams use markerless capture together with depth cameras (such as Microsoft Azure Kinect) to analyze shooting angles, jump posture, and landing impact forces in real time. By combining this with strength and fatigue data, they design tailored technical corrections and training programs. In baseball, pitcher motion analysis is a common use case. Through multi-angle cameras and algorithm comparisons, coaches can identify risky movements such as excessive shoulder external rotation or elbow trajectories beyond the safe range, helping to prevent shoulder and elbow injuries. In both Japan’s professional league and Major League Baseball in the United States, some teams have already combined markerless data with injury history for pitcher selection and development strategies. Application Scenario 2: AI Coaching Upgrades for Home Fitness The popularization of markerless technology has fueled the trend of ‘smart fitness’. In markets like Taiwan and Japan, many fitness apps such as Mirror, Tempo, and local startups like FITURE have combined smart mirror devices with markerless tracking technology, providing experiences similar to a real coach. Users simply stand in front of the mirror or camera, and the system tracks their movement trajectories— for example, whether knees collapse inward during lunges, the spine deviates, or the center of gravity shifts. The system gives real-time instructions through voice or visual graphics, and after the session, provides scores, progress suggestions, and long-term reports. For the elderly, this technology is also applied to fall prevention training. Studies show that by monitoring the speed and stability of daily movements such as standing up, walking, and turning, it is possible to detect early declines in balance ability or signs of shuffling steps, sending alerts to caregivers. Application Scenario 3: Assistive Tools in Sports Medicine and Rehabilitation In the medical field, markerless motion capture is now used in postoperative follow-up and neurological rehabilitation. For example, after knee replacement surgery, doctors can track walking, knee flexion range, and trunk compensation each week, adjusting rehabilitation intensity accordingly. Compared to relying on subjective observation or questionnaires, this provides concrete data for more efficient and personalized treatment.
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