Classification Algorithms Comparison for EEG Movement Recognition
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F08%3A00145377" target="_blank" >RIV/68407700:21230/08:00145377 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Classification Algorithms Comparison for EEG Movement Recognition
Original language description
This article provides a comparison of algorithms for single-trial EEG classification. EEG accompanying fast extension (E) and flexion (F) movement of right index finger is classified. The aim of our study was to verify the necessity of using the EEG timecontext information for classification of very closely localized and similar movements. Comparison of our system based on Hidden Markov Models (HMM) with Support Vector Machine (SVM) and Perceptron is presented. The application field of our research results is in the BCI domain to improve the movement classification resolution of the existing systems.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
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
Article name in the collection
Analysis of Biomedical Signals and Images; Biosignal 2008 proceedings
ISBN
978-80-214-3613-8
ISSN
1211-412X
e-ISSN
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Number of pages
5
Pages from-to
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Publisher name
VUTIUM Press
Place of publication
Brno
Event location
Brno
Event date
Jun 29, 2008
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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