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cs.CV2025
KinTwin: Imitation Learning with Torque and Muscle Driven Biomechanical Models Enables Precise Replication of Able-Bodied and Impaired Movement from Markerless Motion Capture
R. James Cotton
Broader access to high-quality movement analysis could greatly benefit movement science and rehabilitation, such as allowing more detailed characterization of movement impairments…
cs.CV2025
BiomechGPT: Extending Motion-Language Models to Clinical Motion Understanding
Ruize Yang, Ann Kennedy, R. James Cotton
Advances in markerless motion capture are making high-quality biomechanical data increasingly accessible, creating a growing need for scalable downstream analytics. Building a besp…