Wrist Joint Angle Estimation Based on Simultaneous Measurement of Distance and Force on the Forearm
Author:
Affiliation:
1. Tokyo Denki University,Graduate School of Science and Engineering,Department of Electronic Engineering,Saitama,Japan
2. Osaka Institute of Technology,Graduate School of Robotics and Design,Osaka,Japan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10353928/10354079/10354127.pdf?arnumber=10354127
Reference11 articles.
1. A Machine Learning Processing Pipeline for Reliable Hand Gesture Classification of FMG Signals with Stochastic Variance
2. Machine-learning-based hand motion recognition system by measuring forearm deformation with a distance sensor array
3. Classification of forearm and finger motions using electromyogram and arm-shape-changes
4. Stretchable e-Skin Patch for Gesture Recognition on the Back of the Hand
5. An Ultra-Sensitive Modular Hybrid EMG–FMG Sensor with Floating Electrodes
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