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Updated: May 25, 2026

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation
Published on: April 12, 2016
Tricia L Gibo1, Michele F Rotella, Amy J Bastian
1Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA. gibo@jhu.edu
This study explores transitioning human-machine interfaces (HMIs) from position to force control. This adaptable control method could enhance training and sensorimotor system research.
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