About: Comparison of Statistical and Non-statistical Classifiers for Thumb Motion Clasification

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	This paper deals with a comparison of statistical and non-statistical classifiers for thumb motion classification. Presented work is a part of research of relation between brain and muscle activity. The thumb motion is represented by trajectory coordinates of special mark placed on the thumb. Motions are classified using k-Means classifier (non-statistical classification, no prior information is needed) and Bayes classifier (statistical models of classes are needed, classifier training is necessary). The efficiency of classifiers is evaluated using the standard HTK parameters. Real testing data includes more than 900 stationary states which are used for classifier testing. The classification results are compared for both methods. This paper deals with a comparison of statistical and non-statistical classifiers for thumb motion classification. Presented work is a part of research of relation between brain and muscle activity. The thumb motion is represented by trajectory coordinates of special mark placed on the thumb. Motions are classified using k-Means classifier (non-statistical classification, no prior information is needed) and Bayes classifier (statistical models of classes are needed, classifier training is necessary). The efficiency of classifiers is evaluated using the standard HTK parameters. Real testing data includes more than 900 stationary states which are used for classifier testing. The classification results are compared for both methods. (en) This paper deals with a comparison of statistical and non-statistical classifiers for thumb motion classification. Presented work is a part of research of relation between brain and muscle activity. The thumb motion is represented by trajectory coordinates of special mark placed on the thumb. Motions are classified using k-Means classifier (non-statistical classification, no prior information is needed) and Bayes classifier (statistical models of classes are needed, classifier training is necessary). The efficiency of classifiers is evaluated using the standard HTK parameters. Real testing data includes more than 900 stationary states which are used for classifier testing. The classification results are compared for both methods. (cs)
Title	Comparison of Statistical and Non-statistical Classifiers for Thumb Motion Clasification Comparison of Statistical and Non-statistical Classifiers for Thumb Motion Clasification (en) Comparison of Statistical and Non-statistical Classifiers for Thumb Motion Clasification (cs)
skos:prefLabel	Comparison of Statistical and Non-statistical Classifiers for Thumb Motion Clasification Comparison of Statistical and Non-statistical Classifiers for Thumb Motion Clasification (en) Comparison of Statistical and Non-statistical Classifiers for Thumb Motion Clasification (cs)
skos:notation	RIV/68407700:21230/08:03144957!RIV09-MSM-21230___
http://linked.open...avai/riv/aktivita	Z
http://linked.open...avai/riv/aktivity	Z(MSM6840770012)
http://linked.open...iv/cisloPeriodika	2
http://linked.open...vai/riv/dodaniDat	2009
http://linked.open...aciTvurceVysledku	Havlík, Jan Horčík, Zdeněk
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	České vysoké učení technické v Praze / Fakulta elektrotechnická
http://linked.open...dnocenehoVysledku	360663
http://linked.open...ai/riv/idVysledku	RIV/68407700:21230/08:03144957
http://linked.open...riv/jazykVysledku	cze - čeština
http://linked.open.../riv/klicovaSlova	motion analysis, motion classification, k-Means classification, Bayes classification (en)
http://linked.open.../riv/klicoveSlovo	motion analysis Bayes classification k-Means classification motion classification
http://linked.open...odStatuVydavatele	CZ - Česká republika
http://linked.open...ontrolniKodProRIV	[779D28375116]
http://linked.open...i/riv/nazevZdroje	Lékař a technika
http://linked.open...in/vavai/riv/obor	JA
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...UplatneniVysledku	2008
http://linked.open...v/svazekPeriodika	38
http://linked.open...iv/tvurceVysledku	Havlík, Jan Horčík, Zdeněk
http://linked.open...n/vavai/riv/zamer	Transdisciplinární výzkum v oblasti biomedicínského inženýrství II
issn	0301-5491
number of pages	3 (xsd:int)
http://localhost/t...ganizacniJednotka	21230
is http://linked.open...avai/riv/vysledek of	Comparison of Statistical and Non-statistical Classifiers for Thumb Motion Clasification Comparison of Statistical and Non-statistical Classifiers for Thumb Motion Clasification Comparison of Statistical and Non-statistical Classifiers for Thumb Motion Clasification Comparison of Statistical and Non-statistical Classifiers for Thumb Motion Clasification

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