Researchers developed an AI model that generates the best motions for athletes to train and to rehab after injury.
Researchers developed an AI model that generates the best motions for athletes to train and to rehab after injury.
Researchers at the University of California San Diego have created a model driven by generative AI that will help prevent injuries in athletes and also aid in rehabilitation after an injury. The model could also help athletes train better.
The model, called BIGE (for Biomechanics-informed GenAI for Exercise Science), was trained with athlete movements together with information about the biomechanical constraints on the human body, such as how much force a muscle can develop. The model can generate videos of motions that athletes can mimic to avoid injury when they train. It can also generate motions that athletes can execute to keep exercising when they are injured.
It can be used to generate the best motions athletes can execute during exercise to avoid injury and improve performance, or the best motions for athletes that need rehabilitation after an injury.
Read More: University of California – San Diego
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