Paper Info
Title
Portable hand motion classifier for multi-channel surface electromyography recognition using grey relational analysis
Abstract
This paper proposes the portable hand motion classifier (HMC) for multi-channel surface electromyography (SEMG) recognition using grey relational analysis (GRA). SEMG provides information on motion detection of flexion and extension of fingers, wrist, forearm, and arm. A portable HMC is developed to identify hand motion from the SEMG signals with an electrode configuration system (ECS) and GRA-based classifier. The ECS consists of seven active electrodes place around the forearm to acquire the multi-channel SEMG signals of corresponding muscle groups. Six parameters are extracted from each electrode channel and various 42 (7 Channels by 6 Parameters) parameters could be constructed as specific patterns. Sequentially, these patterns are sent to the GRA-based classifier to recognize 11 hand motions. Twelve subjects including eight males and four females participate in this study. Compared with the multi-layer neural networks (MLNNs) based classifier, GRA demonstrates the processing time, computational efficiency, and accurate recognition for recognizing SEMG signals. It takes about 0.05s CPU time to identify each hand motion which is close to a real-time process. Therefore, the GRA-based classifier could be further recommend to implement in prosthesis control, robotic manipulator or hand motion classification applications.
Year
DOI
Venue
2010
10.1016/j.eswa.2009.11.072
Expert Syst. Appl.
Keywords
Field
DocType
electrode channel,grey relational analysis (gra),multi-channel semg signal,hand motion classifier (hmc),hand motion,grey relational analysis,electrode configuration system (ecs),surface electromyography (semg),hand motion classification application,accurate recognition,cpu time,motion detection,semg signal,portable hand motion classifier,gra-based classifier,multi-channel surface electromyography recognition,real time processing,neural network
Data mining,Computer science,Grey relational analysis,Multi channel,Artificial intelligence,Classifier (linguistics),Artificial neural network,Motion detection,Pattern recognition,CPU time,Communication channel,Electromyography,Speech recognition
Journal
Volume
Issue
ISSN
37
6
Expert Systems With Applications
Citations 
PageRank 
References 
16
1.63
11
Authors
4
Name
Order
Citations
PageRank
Yi-chun Du1639.25
Chia-Hung Lin231242.84
Liang-Yu Shyu3258.35
Tainsong Chen4769.86