Title :
Improveci EMG pattern rocognition using polar segmentation of the feature space
Author_Institution :
Electrical Engineering Department, Sharif University of Technology, PO Box 11365-9363, Tehran, Iran
fDate :
Oct. 29 1992-Nov. 1 1992
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;
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
DOI :
10.1109/IEMBS.1992.5761612