Prediction of Fingertip Force Based on the Muscle Characteristics Using Element Description Method
Author:
Affiliation:
1. Keio University,Department of System Design Engineering,Yokohama,Japan
2. Abstech Co., Ltd,Saitama,Japan
3. La Trobe University,Research Centre for Data Analytics and Cognition,Melboulne,Australia
Funder
Tateisi Science and Technology Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10595551/10595675/10595767.pdf?arnumber=10595767
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1. Human–Machine Interfaces Based on Bioelectric Signals: A Narrative Review with a Novel System Proposal
2. Estimation of Arm Stiffness Using Force Information of a Hand in Contact with a Highly Rigid Environment
3. Decomposition strategy for surface EMG with few channels: a simulation study
4. Combining enhanced spectral resolution of EMG and a deep learning approach for knee pathology diagnosis
5. How to use one surface electromyography sensor to recognize six hand movements for a mechanical hand in real time: a method based on Morse code
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