62 2026 TSMA Voice interaction and virtual-coach systems enhance immersion, while gamification increases user engagement and adherence. With the integration of edge computing and biometric recognition, future fitness devices will become more intelligent and adaptive—extending into rehabilitation and health-management domains. Key enabling technologies include: • Machine-learning model training: analyzing workout data to build personalized models for performance analysis and prediction. • Computer vision & motion recognition: using cameras or sensors to interpret movement, enabling performance feedback and interactive instruction. • Sensor fusion: integrating accelerometer, gyroscope, and heart-rate data for comprehensive behavior and physiological assessment. Smart equipment such as treadmills, spin bikes, and rowing machines can now adjust resistance or speed in real time, offering individualized programs and virtual coaching. Through vision-based feedback, users can correct posture, prevent injury, and track progress. AI algorithms fur ther analyze historical data to measure improvement, fatigue, and technical bottlenecks, automatically suggesting plan adjustments. 3. Technological Development Trends Future development in sports and wellness will emphasize personalized health
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