"Combining Electromyography and Tactile Myography to Improve Hand and Wrist Activity Detection in Prostheses" paper posted on Technologies/ journal social media platform

The paper of Noémie Jaquier, Mathilde Connan, Claudio Castellini and Sylvain Calinon from Idiap Research Institute and DLR-German Aerospace Center, "Combining Electromyography and Tactile Myography to Improve Hand and Wrist Activity Detection in Prostheses", has been posted on /Technologies/ journal social media platform.

Despite recent advances in prosthetics and assistive robotics in general, robust simultaneous and proportional control of dexterous prosthetic devices remains an unsolved problem, mainly because of
inadequate sensorization. The application of regression to muscle activity, detected using a flexible tactile sensor recording muscle bulging in the forearm (tactile myography—TMG) has been studied in this paper.


Further information on : MDPI Technologies

link on the paper: Combining Electromyography and Tactile Myography to Improve Hand and Wrist Activity Detection in Prostheses