Classifying sEMG-based Hand Movements by Means of Principal Component Analysis
In order to improve surface electromyography (sEMG) based control of hand prosthesis, we applied Principal Component Analysis (PCA) for feature extraction. The sEMG data from a group of healthy subjects (downloaded from free Ninapro database) comprised the following sets: three grasping, eight wrist...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Telecommunications Society, Academic Mind
2015-06-01
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| Series: | Telfor Journal |
| Subjects: | |
| Online Access: |
http://journal.telfor.rs/Published/Vol7No1/Vol7No1_A5.pdf
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