Distraction-related EEG dynamics in virtual reality driving simulation

Chin Teng Lin, Hong Zhang Lin, Tzai Wen Chiu, Chih Feng Chao, Yu Chieh Chen, Sheng Fu Liang, Li Wei Ko

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Citations (Scopus)

Abstract

Driver distraction has been recognized as a significant cause of traffic incidents. Therefore, the aim of this study was to investigate Electroencephalography (EEG) dynamics in response to distraction during driving. To study human cognition under specific driving task, we used Virtual Reality (VR) based driving simulation to simulate events including unexpected car deviations and mathematics questions (math) in real driving. For further assessing effects of the stimulus onset asynchrony (SOA) between the deviation onset and math presented on the EEG dynamics, we designed five cases with different SOA. The scalp-recorded EEG channel signals were first separated into independent brain sources by Independent Component Analysis (ICA). Then, the Event-Related-Spectral-Perturbations (ERSP) measuring changes of EEG power spectra were used to evaluate the brain dynamics in time-frequency domains. Results showed that increases of theta band (5-7.8 Hz) and beta band (12.2-17 Hz) power were observed in the frontal cortex. Results demonstrated that reaction time and multiple cortical EEG sources responded to the driving deviations and math occurrences differentially in the stimulus onset asynchrony. Results also suggested that the theta band power increase in frontal area could be used as the distracted indexes for early detecting driver's inattention in the future.

Original languageEnglish
Title of host publication2008 IEEE International Symposium on Circuits and Systems, ISCAS 2008
Pages1088-1091
Number of pages4
DOIs
Publication statusPublished - 2008 Sep 19
Event2008 IEEE International Symposium on Circuits and Systems, ISCAS 2008 - Seattle, WA, United States
Duration: 2008 May 182008 May 21

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
ISSN (Print)0271-4310

Other

Other2008 IEEE International Symposium on Circuits and Systems, ISCAS 2008
CountryUnited States
CitySeattle, WA
Period08-05-1808-05-21

Fingerprint

Electroencephalography
Virtual reality
Brain
Independent component analysis
Power spectrum
Railroad cars

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Cite this

Lin, C. T., Lin, H. Z., Chiu, T. W., Chao, C. F., Chen, Y. C., Liang, S. F., & Ko, L. W. (2008). Distraction-related EEG dynamics in virtual reality driving simulation. In 2008 IEEE International Symposium on Circuits and Systems, ISCAS 2008 (pp. 1088-1091). [4541611] (Proceedings - IEEE International Symposium on Circuits and Systems). https://doi.org/10.1109/ISCAS.2008.4541611
Lin, Chin Teng ; Lin, Hong Zhang ; Chiu, Tzai Wen ; Chao, Chih Feng ; Chen, Yu Chieh ; Liang, Sheng Fu ; Ko, Li Wei. / Distraction-related EEG dynamics in virtual reality driving simulation. 2008 IEEE International Symposium on Circuits and Systems, ISCAS 2008. 2008. pp. 1088-1091 (Proceedings - IEEE International Symposium on Circuits and Systems).
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abstract = "Driver distraction has been recognized as a significant cause of traffic incidents. Therefore, the aim of this study was to investigate Electroencephalography (EEG) dynamics in response to distraction during driving. To study human cognition under specific driving task, we used Virtual Reality (VR) based driving simulation to simulate events including unexpected car deviations and mathematics questions (math) in real driving. For further assessing effects of the stimulus onset asynchrony (SOA) between the deviation onset and math presented on the EEG dynamics, we designed five cases with different SOA. The scalp-recorded EEG channel signals were first separated into independent brain sources by Independent Component Analysis (ICA). Then, the Event-Related-Spectral-Perturbations (ERSP) measuring changes of EEG power spectra were used to evaluate the brain dynamics in time-frequency domains. Results showed that increases of theta band (5-7.8 Hz) and beta band (12.2-17 Hz) power were observed in the frontal cortex. Results demonstrated that reaction time and multiple cortical EEG sources responded to the driving deviations and math occurrences differentially in the stimulus onset asynchrony. Results also suggested that the theta band power increase in frontal area could be used as the distracted indexes for early detecting driver's inattention in the future.",
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Lin, CT, Lin, HZ, Chiu, TW, Chao, CF, Chen, YC, Liang, SF & Ko, LW 2008, Distraction-related EEG dynamics in virtual reality driving simulation. in 2008 IEEE International Symposium on Circuits and Systems, ISCAS 2008., 4541611, Proceedings - IEEE International Symposium on Circuits and Systems, pp. 1088-1091, 2008 IEEE International Symposium on Circuits and Systems, ISCAS 2008, Seattle, WA, United States, 08-05-18. https://doi.org/10.1109/ISCAS.2008.4541611

Distraction-related EEG dynamics in virtual reality driving simulation. / Lin, Chin Teng; Lin, Hong Zhang; Chiu, Tzai Wen; Chao, Chih Feng; Chen, Yu Chieh; Liang, Sheng Fu; Ko, Li Wei.

2008 IEEE International Symposium on Circuits and Systems, ISCAS 2008. 2008. p. 1088-1091 4541611 (Proceedings - IEEE International Symposium on Circuits and Systems).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Lin CT, Lin HZ, Chiu TW, Chao CF, Chen YC, Liang SF et al. Distraction-related EEG dynamics in virtual reality driving simulation. In 2008 IEEE International Symposium on Circuits and Systems, ISCAS 2008. 2008. p. 1088-1091. 4541611. (Proceedings - IEEE International Symposium on Circuits and Systems). https://doi.org/10.1109/ISCAS.2008.4541611