Journal
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
Volume 14, Issue -, Pages 117-125Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.bspc.2014.07.007
Keywords
sEMG; Principal component analysis; Common spatial pattern; Classification; Amputees
Categories
Funding
- Trattamento della sindrome dolorosa da arto fan tasma con tecniche di realta virtuale project
- Centro Protesi INAIL and Dipartimento di Ingegneria Elettronica - Universita degli studi di Roma Tor Vergata
Ask authors/readers for more resources
We propose a methodological study for the optimization of surface EMG (sEMG)-based hand gesture classification, effective to implement a human-computer interaction device for both healthy subjects and transradial amputees. The widely commonly used unsupervised Principal Component Analysis (PCA) approach was compared to the promising supervised common spatial pattern (CSP) methodology to identify the best classification strategy and the related tuning parameters. A low density array of sEMG sensors was built to record the muscular activity of the forearm and classify five different hand gestures. Twenty healthy subjects were recruited to compute optimized parameters for (within analysis) and to compare between (between analysis) the two strategies. The system was also tested on a transradial amputee subject, in order to assess the robustness of the optimization in recognizing disabled users' gestures. Results show that RMS-WA/ANN is the best feature vector/classifier pair for the PCA approach (accuracy 88.81 +/- 6.58%), whereas M-RMS-WA/ANN is the best pair for the CSP methodology (accuracy of 89.35 +/- 6.16%). Statistical analysis on classification results shows no significant differences between the two strategies. Moreover we found out that the optimization computed for healthy subjects was proven to be sufficiently robust to be used on the amputee subject. This motivates further investigation of the proposed methodology on a larger sample of amputees. Our results are useful to boost EMG-based hand gesture recognition and constitute a step toward the definition of an efficient EMG-controlled system for amputees. (C) 2014 Elsevier Ltd. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available