Name
Abstract | ||
|---|---|---|
Resumen. In recent years, there has been extensive use electromyographic signals (EMG s) as the primary inputs on algorithms used in control of smart prosthesis; at the same time, the use of classification algorithms to identify patterns in upper limb movements is rising . Some of the main challenges that exist in classification are; EMGu0027s feature extraction and high complexity of algorithms that have been used for that application. This paper present a proposal solution to the problematic mentioned before, a pattern classification method using energy as the only feature and an algorithm capable of running in parallel whose principal function is make the classifying task faster than another conventional algorithm. |
Year | Venue | Field |
|---|---|---|
2015 | Research in Computing Science | Pattern recognition,Computer science,Feature extraction,Artificial intelligence,Statistical classification |
DocType | Volume | Citations |
Journal | 105 | 0 |
PageRank | References | Authors |
0.34 | 4 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| J. R. Caro Vásquez | 1 | 0 | 0.34 |
| Isaac Chairez Oria | 2 | 1 | 1.37 |
| Cornelio Yáñez-Márquez | 3 | 153 | 26.34 |