Reliability of Driver Car Interactions

Number of the records: 1

1.

SYSNO ASEP	0372954
Document Type	M - Monograph Chapter
R&D Document Type	Monograph Chapter
Title	Tree-based EEG Classifiers for Somnolence Detection: Model Search Computational Experiments
Author(s)	Klaschka, Jan (UIVT-O)_{RID, SAI, ORCID}
Source Title	Reliability of Driver Car Interactions. - Praha : Ústav informatiky AV ČR, v. v. i. a ČVUT, Fakulta dopravní, 2011 / Novák M. - ISBN 978-80-87136-12-6
Pages	s. 80-96
Number of pages	17 s.
Number of pages	216
Language	eng - English
Country	CZ - Czech Republic
Keywords	EEG classification ; somnolence ; Random Forests ; combining classifiers
Subject RIV	BB - Applied Statistics, Operational Research
R&D Projects	ME 949 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
CEZ	AV0Z10300504 - UIVT-O (2005-2011)
Annotation	Different strategies of the search for a tree-based EEG classification model aimed at driver's somnolence detection are applied to real data and compared in a computational experiment. Furthermore, a follow-up experimental study of one of the "winning" models from the former experiment is reported. The latter experiment is specifically focused at model search restriction as a method of coping with some confusing phenomena observed when varying parameters of the model.
Workplace	Institute of Computer Science
Contact	Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800
Year of Publishing	2012

Number of the records: 1