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Published in:
2017 | OriginalPaper | Chapter
Gesture Recognition Through Classification of Acoustic Muscle Sensing for Prosthetic Control
(Extended Abstract)
Authors : Samuel Wilson, Ravi Vaidyanathan
Published in: Biomimetic and Biohybrid Systems
Publisher: Springer International Publishing
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Abstract
In this paper we present the initial evaluation of a new upper limb prosthetic control system to be worn on the residual limb, which is capable of identifying hand gestures through muscle acoustic signatures (mechanomyography, or MMG) measured from the upper arm. We report the development of a complete system consisting of a bespoke inertial measurement unit (IMU) to monitor arm motion and a skin surface sensor capturing acoustic muscle activity associated with digit movement. The system fuses the orientation of the arm with the synchronized output of six MMG sensors, which capture the low frequency vibrations produced during muscle contraction, to determine which hand gesture the user is making. Twelve gestures split into two test categories were examined, achieving a preliminary average accuracy of 89% on the offline examination, and 68% in the real time tests.