Comparison of k-Means and Bayes classifiers for Human Body Motions Classification

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F09%3A00159145" target="_blank" >RIV/68407700:21230/09:00159145 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Comparison of k-Means and Bayes classifiers for Human Body Motions Classification
Original language description
This paper deals with a comparison of k-Means and Bayes classifiers designed for classification of the human body motions classification. The main task of this paper is to compare the performance and the reliability of classifiers. The presented work isa part of research of relations between brain and muscle activity. The sensing of body motions is based on standard DV camcorders system. The procedures have no negative impact to brain activity (the tracking does not affect the measured EEG signals). Presented paper includes the description of observing, discerning and parameterization procedures and the discussion of motion classification. The results of classification accuracy are the part of this paper.
Czech name
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Czech description
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Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany
ISBN
978-3-642-03897-6
ISSN
1680-0737
e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
Springer Science+Business Media
Place of publication
Berlin
Event location
Mnichov
Event date
Sep 7, 2009
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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