000177881 001__ 177881
000177881 005__ 20190812205615.0
000177881 020__ $$a978-1-4577-1787-1
000177881 02470 $$2ISI$$a000313296504014
000177881 037__ $$aCONF
000177881 245__ $$aDetection of Anticipatory Brain Potentials during Car Driving
000177881 269__ $$a2012
000177881 260__ $$bIeee$$c2012$$aNew York
000177881 300__ $$a4
000177881 336__ $$aConference Papers
000177881 490__ $$aIEEE Engineering in Medicine and Biology Society Conference Proceedings
000177881 520__ $$aRecognition of driver’s intention from electroencephalogram (EEG) can be helpful in developing an in-car brain computer interface (BCI) systems for intelligent cars. This could be beneficial in enhancing the quality of interaction between the driver and the car to provide the response of the intelligent cars in line with driver’s intention. We proposed investigating anticipation as the cognitive state leading to specific actions during car driving. An experimental protocol is designed for recording EEG from 6 subjects while driving the virtual reality driving simulator. The experimental protocol is a variant of the contingent negative variation (CNV) paradigm with Go and No-go conditions in driving framework. The results presented in this study support the presence of the slow cortical anticipatory potentials in EEG grand averages and also confirm the discriminability of these potentials in offline single trial classification with the average of 0.76± 0.12 in area under the curve (AUC).
000177881 6531_ $$aEEG, BCI, intelligent car, CNV
000177881 6531_ $$aBCI
000177881 6531_ $$aIntelligent car
000177881 6531_ $$aCNV
000177881 6531_ $$a[CNBI-NISSAN]
000177881 700__ $$0245282$$g204488$$aKhaliliardali, Zahra
000177881 700__ $$0241256$$g137762$$aChavarriaga, Ricardo
000177881 700__ $$g207282$$aGheorghe, Lucian Andrei$$0245605
000177881 700__ $$aMillán, José del R.$$g149175$$0240030
000177881 7112_ $$dAug 28-Sep 1$$cSan Diego, USA$$aThe 34th Annual International Conference of the Engineering in Medicine and Biology Society
000177881 773__ $$tProceeding of the 34th Annual International IEEE EMBS Conference
000177881 8564_ $$zn/a$$uhttps://infoscience.epfl.ch/record/177881/files/Zahra_khaliliardali_EMBC2012.pdf$$s754713
000177881 909C0 $$xU12103$$pCNBI$$0252018
000177881 909C0 $$0252517$$xU12599$$pCNP
000177881 909CO $$qGLOBAL_SET$$pconf$$pSTI$$ooai:infoscience.tind.io:177881
000177881 917Z8 $$x204488
000177881 917Z8 $$x137762
000177881 917Z8 $$x137762
000177881 917Z8 $$x137762
000177881 917Z8 $$x137762
000177881 937__ $$aEPFL-CONF-177881
000177881 973__ $$rREVIEWED$$sACCEPTED$$aEPFL
000177881 980__ $$aCONF