Full metadata record
DC FieldValueLanguage
dc.contributor.authorLin, Chin-Tengen_US
dc.contributor.authorKing, Jung-Taien_US
dc.contributor.authorSingh, Avinash Kumaren_US
dc.contributor.authorGupta, Akshanshen_US
dc.contributor.authorMa, Zhenyuanen_US
dc.contributor.authorJheng-Wei-Linen_US
dc.contributor.authorMachado, Alexei Manso Correaen_US
dc.contributor.authorAppaji, Abhisheken_US
dc.contributor.authorPrasad, Mukeshen_US
dc.date.accessioned2018-08-21T05:53:44Z-
dc.date.available2018-08-21T05:53:44Z-
dc.date.issued2018-01-01en_US
dc.identifier.issn2169-3536en_US
dc.identifier.urihttp://dx.doi.org/10.1109/ACCESS.2018.2820161en_US
dc.identifier.urihttp://hdl.handle.net/11536/145095-
dc.description.abstractImproving the degree of assistance given by in-car navigation systems is an important issue for the safety of both drivers and passengers. There is a vast body of research that assesses the usability and interfaces of the existing navigation systems but very few investigations study the impact on the brain activity based on navigation-based driving. In this paper, a real-world experiment is designed to acquire the electroencephalography (EEG) and in-car information to analyze the dynamic brain activity while the driver is performing the lane-changing task based on the auditory instructions from an in-car navigation system. The results show that auditory cues can influence the speed and increase the frontal EEG delta and beta power, which is related to motor preparation and decision making during a lane change. However, there were no significant results on the alpha power. A better lane-change assessment can be obtained using specific vehicle information (lateral acceleration and heading angle) with EEG features for future naturalized driving study.en_US
dc.language.isoen_USen_US
dc.subjectAuditory instructionsen_US
dc.subjectEEGen_US
dc.subjectin-car navigationen_US
dc.subjectlane changeen_US
dc.subjectreal-world drivingen_US
dc.titleVoice Navigation Effects on Real-World Lane Change Driving Analysis Using an Electroencephalogramen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/ACCESS.2018.2820161en_US
dc.identifier.journalIEEE ACCESSen_US
dc.citation.volume6en_US
dc.citation.spage26483en_US
dc.citation.epage26492en_US
dc.contributor.department腦科學研究中心zh_TW
dc.contributor.departmentBrain Research Centeren_US
dc.identifier.wosnumberWOS:000434460800001en_US
Appears in Collections:Articles