The OpenRobotRehab data sets and open-source software platforms are designed to enable study of human neuromechanical behavior when modified by rehabilitative robots.
**NEW:** The OpenRobotRehab 1.0 release contains time-series data from 13 healthy and 2 post-stroke participants performing isometric upper-limb rehabilitation gaming tasks, including raw and processed surface electromyography (sEMG), force torque, and game performance data, alongside analysis code and protocol details.
We invite anyone in the research community to use the OpenRobotRehab data sets to develop and validate neuromechanical models and improve rehabilitation strategies.
Full details can be found in the following paper:
Ajay Anand, Chad A. Berghoff*, Carson J. Wynn*, Evan Cole Falconer*, Gabriel Parra*, Jono Jenkens*, Caleb J. Thomson, W. Caden Hamrick, Jacob A. George, and Laura Hallock. "An extensible platform for measurement and modification of muscle engagement during upper-limb robot-facilitated rehabilitation." in IEEE RAS/EMBS International Conference on Rehabilitation Robotics (ICORR). IEEE, 2025. *Equal contribution. (In press.)
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Download our multimodal time series rehabilitation data sets here, as well as analysis and visualization code!
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