"EEG; RBF; fatigue states; vigilance level; vigilant car"@en . . "Z(MSM 212300014)" . "2004-11-03+01:00"^^ . "[7252904C4989]" . "Rozpozn\u00E1v\u00E1n\u00ED bd\u011Blostn\u00EDho stavu \u010Dlov\u011Bka ze sign\u00E1lu EEG pomoc\u00ED neuronov\u00E9 s\u00EDt\u011B RBF - vliv p\u0159edzpracov\u00E1n\u00ED tr\u00E9novac\u00EDch vzor\u016F na \u00FAsp\u011B\u0161nost rozpozn\u00E1v\u00E1n\u00ED" . . . "51. Neurofyziologick\u00FD kongres" . "P\u0159\u00EDsp\u011Bvek se zab\u00FDv\u00E1 problematikou detekce bd\u011Blostn\u00EDho stavu (\u00FArovn\u011B pozornosti) \u010Dlov\u011Bka na z\u00E1klad\u011B zpracov\u00E1n\u00ED lidsk\u00FDch sign\u00E1l\u016F EEG pomoc\u00ED neuronov\u00E9 s\u00EDt\u011B. P\u0159\u00EDsp\u011Bvek se op\u00EDr\u00E1 o data z experiment\u016F prov\u00E1d\u011Bn\u00FDch v r\u00E1mci projektu %22Bd\u00EDc\u00ED auto%22, kter\u00FD byl realizov\u00E1n na \u00DABMI \u010CVUT Praha v letech 1999-2004. C\u00EDlem tohoto projektu je z biologick\u00FDch \u010Di jin\u00FDch sign\u00E1l\u016F detekovat stav bd\u011Blosti \u0159idi\u010De a rozpoznat, kdy \u0159idi\u010Di hroz\u00ED zv\u00FD\u0161en\u00E1 \u00FAnava, p\u0159\u00EDpadn\u011B mikrosp\u00E1nek a p\u0159ed t\u011Bmito stavy varovat. V p\u0159\u00EDsp\u011Bvku jsou uvedeny metody, jimi\u017E byly zpracov\u00E1ny nam\u011B\u0159en\u00E1 data (z\u00E1znamy EEG \u010Dil\u00FDch a unaven\u00FDch \u0159idi\u010D\u016F) a d\u00E1le jsou prezentov\u00E1ny v\u00FDsledky rozpozn\u00E1v\u00E1n\u00ED stavu bd\u011Blosti \u0159idi\u010D\u016F, ke kter\u00FDm se dosp\u011Blo zpracov\u00E1n\u00EDm t\u011Bchto dat neuronovou s\u00EDt\u00ED RBF. D\u00E1le je uk\u00E1z\u00E1na \u00FAsp\u011B\u0161nost rozpozn\u00E1v\u00E1n\u00ED stavu bd\u011Blosti v z\u00E1vislosti na r\u016Fzn\u00FDch parametrech p\u0159edzpracov\u00E1n\u00ED dat a na r\u016Fzn\u00FDch parametrech neuronov\u00E9 s\u00EDt\u011B RBF."@cs . . "Driver's Vigilance Identification by means of RBF Neural Network - Influence of Preprocessing on the Recogniton Success"@en . "RIV/68407700:21230/04:03102214" . . . . "P\u0159\u00EDsp\u011Bvek se zab\u00FDv\u00E1 problematikou detekce bd\u011Blostn\u00EDho stavu (\u00FArovn\u011B pozornosti) \u010Dlov\u011Bka na z\u00E1klad\u011B zpracov\u00E1n\u00ED lidsk\u00FDch sign\u00E1l\u016F EEG pomoc\u00ED neuronov\u00E9 s\u00EDt\u011B. P\u0159\u00EDsp\u011Bvek se op\u00EDr\u00E1 o data z experiment\u016F prov\u00E1d\u011Bn\u00FDch v r\u00E1mci projektu %22Bd\u00EDc\u00ED auto%22, kter\u00FD byl realizov\u00E1n na \u00DABMI \u010CVUT Praha v letech 1999-2004. C\u00EDlem tohoto projektu je z biologick\u00FDch \u010Di jin\u00FDch sign\u00E1l\u016F detekovat stav bd\u011Blosti \u0159idi\u010De a rozpoznat, kdy \u0159idi\u010Di hroz\u00ED zv\u00FD\u0161en\u00E1 \u00FAnava, p\u0159\u00EDpadn\u011B mikrosp\u00E1nek a p\u0159ed t\u011Bmito stavy varovat. V p\u0159\u00EDsp\u011Bvku jsou uvedeny metody, jimi\u017E byly zpracov\u00E1ny nam\u011B\u0159en\u00E1 data (z\u00E1znamy EEG \u010Dil\u00FDch a unaven\u00FDch \u0159idi\u010D\u016F) a d\u00E1le jsou prezentov\u00E1ny v\u00FDsledky rozpozn\u00E1v\u00E1n\u00ED stavu bd\u011Blosti \u0159idi\u010D\u016F, ke kter\u00FDm se dosp\u011Blo zpracov\u00E1n\u00EDm t\u011Bchto dat neuronovou s\u00EDt\u00ED RBF. D\u00E1le je uk\u00E1z\u00E1na \u00FAsp\u011B\u0161nost rozpozn\u00E1v\u00E1n\u00ED stavu bd\u011Blosti v z\u00E1vislosti na r\u016Fzn\u00FDch parametrech p\u0159edzpracov\u00E1n\u00ED dat a na r\u016Fzn\u00FDch parametrech neuronov\u00E9 s\u00EDt\u011B RBF." . "Rozpozn\u00E1v\u00E1n\u00ED bd\u011Blostn\u00EDho stavu \u010Dlov\u011Bka ze sign\u00E1lu EEG pomoc\u00ED neuronov\u00E9 s\u00EDt\u011B RBF - vliv p\u0159edzpracov\u00E1n\u00ED tr\u00E9novac\u00EDch vzor\u016F na \u00FAsp\u011B\u0161nost rozpozn\u00E1v\u00E1n\u00ED"@cs . "RIV/68407700:21230/04:03102214!RIV/2005/MSM/212305/N" . . . "Neurofyziologick\u00E1 laborato\u0159 Nemocnice \u010Cesk\u00E9 Bud\u011Bjovice" . "H\u00E1na, Karel" . . "This paper deals with driver's vigilance identification from EEG signals. The goal is to detect and predict possible decline in driver's vigilance. Our research draws on the Vigilant Car project conducted in the Institute for Biomedical Engineering CTU in Prague, since 1999. We have analysed large data sets of driver's EEG signal measurements for various weariness level. To be able to detect possible loss of concentration, the RBF network was employed to classify driver's vigilance level from EEG signal."@en . . "585183" . "\u0160norek, Miroslav" . "Driver's Vigilance Identification by means of RBF Neural Network - Influence of Preprocessing on the Recogniton Success"@en . "64 ; 64" . . . . . "3"^^ . . . . "3"^^ . "21230" . "Rozpozn\u00E1v\u00E1n\u00ED bd\u011Blostn\u00EDho stavu \u010Dlov\u011Bka ze sign\u00E1lu EEG pomoc\u00ED neuronov\u00E9 s\u00EDt\u011B RBF - vliv p\u0159edzpracov\u00E1n\u00ED tr\u00E9novac\u00EDch vzor\u016F na \u00FAsp\u011B\u0161nost rozpozn\u00E1v\u00E1n\u00ED"@cs . . "\u010Cesk\u00E9 Bud\u011Bjovice" . "Rozpozn\u00E1v\u00E1n\u00ED bd\u011Blostn\u00EDho stavu \u010Dlov\u011Bka ze sign\u00E1lu EEG pomoc\u00ED neuronov\u00E9 s\u00EDt\u011B RBF - vliv p\u0159edzpracov\u00E1n\u00ED tr\u00E9novac\u00EDch vzor\u016F na \u00FAsp\u011B\u0161nost rozpozn\u00E1v\u00E1n\u00ED" . "Srn\u00ED" . . "1"^^ . "Mr\u00E1z, Michael" .