Researchers have introduced K2MUSE, a new multimodal dataset designed to advance the development of lower limb rehabilitation robots. The dataset captures kinematic, kinetic, ultrasound, and electromyography data from 42 participants across various inclines, speeds, and simulated non-ideal acquisition conditions. K2MUSE aims to provide a comprehensive resource for data-driven approaches in rehabilitation robotics and biomechanical analysis. AI
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IMPACT Provides a new multimodal dataset to improve data-driven approaches for rehabilitation robotics.
RANK_REASON This is a research paper introducing a new dataset.