Analytics, AI & Machine Learning
The Analytics, AI, and Machine Learning team leverages athlete-worn sensors, video-derived data, and injury databases to identify interventions that can mitigate risk for athletes in professional and amateur sports.
Our work leverages statistical and machine learning models for risk analysis, computer vision models for head impact detection, and on-field pose estimation for recreation and simulation of injury events.
This modeling informs injury reduction strategies through the implementation of better training schedules, improvement of athlete load management, refinement of rules to mitigate risky behavior, adaption of athlete-specific techniques, and fielding of improved equipment.
