EXERCISE TRAINING ADAPTATION USING PHYSIOLOGICAL DATA

摘要

An exercise feedback system generates biofeedback based on physiological adaptations. The exercise feedback system processes physiological data from sensor-equipped garments worn by athletes while performing exercises. The exercise feedback system may use a trained model to determine classifications of segments of the physiological data. Classifications may represent a type of physiological adaptation, for example, power, strength, hypertrophy, endurance, or speed. Athletes can focus on one or more physiological adaptations, which may be based on a specific sport or training goal of an athlete. The exercise feedback system may also use other types of sensor data from the garments such as motion data or bioimpedance information. The exercise feedback system can generate biofeedback including metrics determined using the classifications. For example, the metrics indicate training load aggregated over multiple muscles or workouts, or the biofeedback may notify athletes regarding a risk of injury.