Full metadata record
DC FieldValueLanguage
dc.contributor.authorLin, Chin-Tengen_US
dc.contributor.authorYang, Fu-Shuen_US
dc.contributor.authorChiou, Te-Chungen_US
dc.contributor.authorKo, Li-Weien_US
dc.contributor.authorDuann, Jeng-Renen_US
dc.contributor.authorGramann, Klausen_US
dc.date.accessioned2014-12-08T15:24:59Z-
dc.date.available2014-12-08T15:24:59Z-
dc.date.issued2009en_US
dc.identifier.isbn978-1-4244-4294-2en_US
dc.identifier.urihttp://hdl.handle.net/11536/17372-
dc.identifier.urihttp://dx.doi.org/10.1109/ESSDERC.2009.5331472en_US
dc.description.abstractThe aim of this study is to investigate the difference of EEC dynamics on navigation performance. A tunnel task was designed to classify subjects into allocentric or egocentric spatial representation users. Despite of the differences of mental spatial representation, behavioral performance in general were compatible between the two strategies subjects in the tunnel task. Task-related EEC dynamics in power changes were analyzed using independent component analysis (ICA), time-frequency and non-parametric statistic test. ERSP image results revealed navigation performance-predictive EEG activities which is is expressed in the parietal component by source reconstruction. For egocentric subjects, comparing to trails with well-estimation of homing angle, the power attenuation at the frequencies from 8 to 30 Hz (around alpha and beta band) was stronger when subjects overestimated homing directions, but the attenuated power was decreased when subjects were underestimated the homing angles. However, we did not found performance related brain activities for allocentric subjects, which may due to the functional dissociation between the use of allo- and egocentric reference frames.en_US
dc.language.isoen_USen_US
dc.subjectspatial navigationen_US
dc.subjectallocentricen_US
dc.subjectegocentricen_US
dc.subjectreference frameen_US
dc.subjectelectroencephalograph (EEG)en_US
dc.titleEEG-based Spatial Navigation Estimation in a Virtual Reality Driving Environmenten_US
dc.typeProceedings Paperen_US
dc.identifier.doi10.1109/ESSDERC.2009.5331472en_US
dc.identifier.journal2009 9TH IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOENGINEERINGen_US
dc.citation.spage435en_US
dc.citation.epage438en_US
dc.contributor.department腦科學研究中心zh_TW
dc.contributor.departmentBrain Research Centeren_US
dc.identifier.wosnumberWOS:000277202300071-
Appears in Collections:Conferences Paper