Comparison of Statistical and Non-statistical Classifiers for Thumb Motion Clasification
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F08%3A03144957" target="_blank" >RIV/68407700:21230/08:03144957 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
čeština
Original language name
Comparison of Statistical and Non-statistical Classifiers for Thumb Motion Clasification
Original language 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.
Czech name
Comparison of Statistical and Non-statistical Classifiers for Thumb Motion Clasification
Czech 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.
Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2008
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Lékař a technika
ISSN
0301-5491
e-ISSN
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Volume of the periodical
38
Issue of the periodical within the volume
2
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
3
Pages from-to
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UT code for WoS article
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EID of the result in the Scopus database
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