Electromyography (EMG) sensing technology and nerve conduction studies have a long history of success in diagnosing neurological disorders. Now with the advent of wearable EMG devices, these muscle sensors are finding success in other applications such as robot control, augmented reality, athletic performance training, and biofeedback.
The following sample of articles from around the web shows the diversity of practical applications for wearable muscle sensors (often demonstrated originally with older wired-style EMG sensors).
“Muscles in Action” by Mia Chiquier and Carl Vondrick, Columbia University. Using ANR M40 Muscle Sense sensors to create a bidirectional representation that predicts muscle activation from video, and conversely, reconstructs motion from muscle activation. In Proceedings of the IEEE/CVF International Conference on Computer Vision, October 2023.
Open Access versions, provided by the Computer Vision Foundation
Read about this study to help qualify results from EMG data in the Journal of Electromyography and Kinesiology, Volume 62, February 2022. By: Morteza Yaserifara, Department of Exercise Physiology, University of Mazandaran, Mazandaran, Iran; and, Anderson Souza Oliveirab, Department of Materials and Production, Aalborg University, Aalborg, Denmark.
See the overview: CMT Diagnosis. Electromyography is usually the first test performed to diagnose CMT disease.
Read the article: Journal of Electromyography and Kinesiology, Vol. 53 (2020) 102428. School of Public Health, Physiotherapy and Sports Science, Institute for Sport & Health, University College Dublin, Ireland
See the project: Muscle sensors may let you control a drone by clenching your fist – a more intuitive way to control robots. MIT CSAIL research project.
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