INDEX FINGER MOTION RECOGNITION USING SELF-ADVISE SUPPORT VECTOR MACHINE

dc.contributor.author	Anam, Khairul
dc.contributor.author	Al-Jumaily, Adel
dc.contributor.author	Maali, Yashar
dc.date.accessioned	2017-10-11T06:43:50Z
dc.date.available	2017-10-11T06:43:50Z
dc.date.issued	2017-10-11
dc.identifier.issn	1178-5608
dc.identifier.uri	http://repository.unej.ac.id/handle/123456789/82056
dc.description	INTERNATIONAL JOURNAL ON SMART SENSING AND INTELLIGENT SYSTEMS VOL. 7, NO. 2, June 2014	en_US
dc.description.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 SASVM improves the classification performance by on average 0.63 %.	en_US
dc.language.iso	en	en_US
dc.subject	Support Vector Machine	en_US
dc.subject	Self-advise SVM	en_US
dc.subject	Pattern recognition	en_US
dc.title	INDEX FINGER MOTION RECOGNITION USING SELF-ADVISE SUPPORT VECTOR MACHINE	en_US
dc.type	Article	en_US