Online Finger Control Using High-Density EMG and Minimal Training Data for Robotic Applications
Abstract
A hand impairment can have a profound impact on the quality of life. This has motivated the development of dexterous prosthetic and orthotic devices. However, their control with neuromuscular interfacing remains challenging. Moreover, existing myocontrol interfaces typically require an extensive calibration. We propose a minimally supervised, online myocontrol system for proportional and simultaneous finger force estimation based on ridge...
Paper Details
Title
Online Finger Control Using High-Density EMG and Minimal Training Data for Robotic Applications
Published Date
Apr 1, 2019
Volume
4
Issue
2
Pages
217 - 223
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