Hybrid approach for myoelectric control of multi-finger movement classification
Identification of correct multi-finger movement class remains a difficulty in a myoelectric prosthetic hand. This is because only a small amplitude of electromyography (EMG) signal was produced by this multi-finger movement. Hence, powerful classification is needed to solve this problem. Support Vec...
Saved in:
Main Author: | Mohd. Esa, Nurazrin |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2021
|
Subjects: | |
Online Access: | http://eprints.utm.my/102993/1/NurazrinMohdEsaMSC2021.pdf http://eprints.utm.my/102993/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:150631 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Electromyography (EMG) based classification of finger movements using SVM
by: Mohd. Esa, Nurazrin, et al.
Published: (2018) -
Comparative study of segmentation and feature extraction method on finger movement
by: Esa, N. M., et al.
Published: (2019) -
A multi-objective approach to selects genes for cancer classification
by: Mohamad, Mohd. Saberi, et al.
Published: (2008) -
Design and Implementation of Multi-Touch System Using FTIR Technique for Optimization of Finger Touch Detection
by: abro, ahsanullah, et al.
Published: (2010) -
Hand movements classification for myoelectric control system using adaptive resonance theory
by: Fariman, Hessam Jahani, et al.
Published: (2016)