EMG finger movement classification based on ANFIS

EMG finger movement classification based on ANFIS

An increase number of people suffering from stroke has impact to the rapid development of finger hand exoskeleton to enable an automatic physical therapy. Prior to the development of finger exoskeleton, a research topic yet important i.e. machine learning of finger gestures classification is conduct...

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Bibliographic Details
Main Authors: Caesarendra, Wahyu, Tjahjowidodo, Tegoeh, Nico, Yohanes, Wahyudati, S., Nurhasanah, L.
Other Authors: School of Mechanical and Aerospace Engineering
Format: Conference Paper
Language:English
Published: 2018
Subjects:
EMG Signal
Finger Movement
DRNTU::Engineering::Mechanical engineering
Online Access:https://hdl.handle.net/10356/88131
http://hdl.handle.net/10220/45630

Internet

https://hdl.handle.net/10356/88131
http://hdl.handle.net/10220/45630

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