Investigation of Channel Selection for Gesture Classification for Prosthesis Control Using Force Myography: A Case Study

Investigation of Channel Selection for Gesture Classification for Prosthesis Control Using Force Myography: A Case Study

Background: Various human machine interfaces (HMIs) are used to control prostheses, such as robotic hands. One of the promising HMIs is Force Myography (FMG). Previous research has shown the potential for the use of high density FMG (HD-FMG) that can lead to higher accuracy of prosthesis control.Mot...

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Bibliographic Details
Main Authors: Chakaveh Ahmadizadeh, Brittany Pousett, Carlo Menon
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-12-01
Series:Frontiers in Bioengineering and Biotechnology
Subjects:
force myography
gesture classification
channel selection
prosthesis control
robotic hand
high density FMG
Online Access:https://www.frontiersin.org/article/10.3389/fbioe.2019.00331/full

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