DocumentCode :
544839
Title :
Improveci EMG pattern rocognition using polar segmentation of the feature space
Author :
Zahedi, Edmond
Author_Institution :
Electrical Engineering Department, Sharif University of Technology, PO Box 11365-9363, Tehran, Iran
Volume :
6
fYear :
1992
fDate :
Oct. 29 1992-Nov. 1 1992
Firstpage :
2611
Lastpage :
2612
Abstract :
In this paper, different segmentation schemes of the EMG feature space are considered in order to implement a myoelectric prosthetic control with a minimum classification error. The pattern classification algorithm itself is based on heuristic rules. It is shown that the use of polar coordinates instead of cartesian ones may lead to a lower misclassification rate. The computation complexity of this kind of segmentation can be easily handled by current commercially available microprocessors.
Keywords :
Classification algorithms; Electromyography; Error analysis; Motion segmentation; Niobium; Pattern recognition; Training;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 1992 14th Annual International Conference of the IEEE
Conference_Location :
Paris, France
Print_ISBN :
0-7803-0785-2
Electronic_ISBN :
0-7803-0816-6
Type :
conf
DOI :
10.1109/IEMBS.1992.5761612
Filename :
5761612
Link To Document :
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