This technology is a robotics platform that captures user motion through various sensors and applies force to the pelvis and trunk to train users to perform physical tasks related to sporting activities.
Robotic-mediated movement training is an effective rehabilitation approach for motor impairments following neurological injury, including brain injury, stroke, and spinal cord injury. Since similar motor training is required for mastering skills involved in many sports, the study of movement patterns of professional athletes can also be utilized to train novices to improve their skills and mitigate injury. However, while the movements of professional athletes have been studied using high-tech motion capture systems, there has been little effort to couple this to assist-as-needed force-based training.
This technology combines motion capture technology with an assist-as-needed force system to analyze and then train participants to perform physical motions related to sporting activities. It records movement patterns and internal signals from key points on the human body using a motion capture system, force plates, an electromyograph, and an electroencephalogram. Using AI/ML models trained by the motions of professional athletes, it can then guide the training of novices to perform sporting activities such as throwing a ball. Furthermore, the data gathered from the system during training is used to characterize human learning, enabling the continuous improvement of the model/platform.
This technology has been validated in human participants for activities including catching, aiming, and throwing a ball at a target.
Patent Pending
CU25023
Licensing Contact: Dovina Qu
