A New Dataset and Neural Networks Models to Estimate the Joint Coordinates of Human Hand from Electromyographic Signals-Reference-Cited by-同舟云学术

A New Dataset and Neural Networks Models to Estimate the Joint Coordinates of Human Hand from Electromyographic Signals

Published:2022-02-03 Issue:4 Volume:53 Page:346-361
ISSN:0196-9722
Container-title:Cybernetics and Systems
language:en
Short-container-title:Cybernetics and Systems

Author:

Kirchhofer S.¹,Chateau T.²,Bouzgarrou C.³,Lemaire J.-J⁴

Affiliation:

1. ComSee, UMR 6602: Institut Pascal, Campus Universitaire des Cézeaux, Aubière Cedex, France

2. UMR 6602: Institut Pascal, Campus Universitaire des Cézeaux, Aubière Cedex, France

3. MRSI (M3G), SIGMA Clermont Engineering Graduate School, Aubière Cedex, France

4. TGI, Institut Pascal, CHU Clermont-Ferrand, Clermont-Fd, France

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Information Systems,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/01969722.2021.1985227

Reference28 articles.

1. Deep Learning with Convolutional Neural Networks Applied to Electromyography Data: A Resource for the Classification of Movements for Prosthetic Hands

2. Building the Ninapro database: A resource for the biorobotics community

3. The Ninapro database: A resource for sEMG naturally controlled robotic hand prosthetics

4. Bai, S., J. Z. Kolter, and V. Koltun. 2018. An empirical evaluation of generic convolutional and recurrent networks for sequence modeling. Computing Research Repository (CoRR): abs/1803.01271.

5. The Reality of Myoelectric Prostheses: Understanding What Makes These Devices Difficult for Some Users to Control

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