<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Because of the functionality of an index finger, the disability of its motion in the modern age can decrease the person’s quality of life. As a part of rehabilitation therapy, the recognition of the index finger motion for rehabilitation purposes should be done properly. This paper proposes a novel recognition system of the index finger motion suing a cutting-edge method and its improvements. The proposed system consists of combination of feature extraction method, a dimensionality reduction and well-known classifier, Support Vector Machine (SVM). An improvement of SVM, Self-advise SVM (SA-SVM), is tested to evaluate and compare its performance with the original one. The experimental result shows that SA-SVM improves the classification performance by on average 0.63 %.</p></abstract>

Because of the functionality of an index finger, the disability of its motion in the modern age can decrease the person’s quality of life. As a part of rehabilitation therapy, the recognition of the index finger motion for rehabilitation purposes should be done properly. This paper proposes a novel recognition system of the index finger motion suing a cutting-edge method and its improvements. The proposed system consists of combination of feature extraction method, a dimensionality reduction and well-known classifier, Support Vector Machine (SVM). An improvement of SVM, Self-advise SVM (SA-SVM), is tested to evaluate and compare its performance with the original one. The experimental result shows that SA-SVM improves the classification performance by on average 0.63 %.

Index Finger Motion Recognition Using Self-Advise Support Vector Machine

International Journal on Smart Sensing and Intelligent Systems

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Index Finger Motion Recognition Using Self-Advise Support Vector Machine"}

Because of the functionality of an index finger, the disability of its motion in the modern age can decrease the person’s quality of life. As a part of...

Index Finger Motion Recognition Using Self-Advise Support Vector Machine

Online veröffentlicht: 27. Dez. 2017

Seitenbereich: 644 - 657

Eingereicht: 03. Apr. 2014

Akzeptiert: 01. Juni 2014

DOI: https://doi.org/10.21307/ijssis-2017-674

Schlüsselwörter
Support Vector Machine, Self-advise SVM, pattern recognition

© 2014 Khairul Anam et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Index Finger Motion Recognition Using Self-Advise Support Vector Machine

Online veröffentlicht: 27. Dez. 2017

Seitenbereich: 644 - 657

Eingereicht: 03. Apr. 2014

Akzeptiert: 01. Juni 2014

DOI: https://doi.org/10.21307/ijssis-2017-674

SchlüsselwörterSupport Vector Machine, Self-advise SVM, pattern recognition

© 2014 Khairul Anam et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
Support Vector Machine, Self-advise SVM, pattern recognition