Deep and Surface Modalities for Myo-Intent Detection
Mathilde Connan, Bingbin Yu, Christian Gibas, Rainer Brück, Elsa Andrea Kirchner, Claudio Castellini
In Myoelectric Controls and Upper Limb Prothetics Symposium (MEC22) - Symposium Proceedings, (MEC-2022), 9.8.-11.8.2022, Fredericton, New Brunswick, UNB - Institute of Biomedical Engineering, Nov/2022.
Abstract
:
Electromyography is the gold-standard among sensors for prosthetic control. However, stable and reliable
myocontrol remains an unsolved problem in the community. Amid improvements currently under investigation, one
focuses on alternative or complementary sensors. In this study, we compare different techniques, recording surface
and deep muscle activity. Ten subjects were involved in an experiment in which three different modalities were
attached on their forearm: force myography, electro-impedance tomography and ultrasound. They were asked to
perform wrist and grasp movements. For the first time, we evaluate and compare in an offline analysis these three
different modalities while recording several hand gestures.
Files:
DEEP_AND_SURFACE_SENSOR_MODALITIES_FOR_MYO-INTENT_DETECTION.pdf
Links:
https://events.eply.com/MEC22
