EEG activities of dynamic stimulation in VR driving motion simulator

Chin Teng Lin, Li Wei Ko, Yin Hung Lin, Tzyy Ping Jung, Sheng-Fu Liang, Li Sor Hsiao

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

9 Citations (Scopus)

Abstract

The purpose of this study is to investigate Electroencephalography dynamics in response to kinesthetic stimuli during driving. We used a Virtual Reality driving simulator consisted of a hydraulic hexapod motion platform to create practical driving events. We compared the EEG dynamics in response to kinesthetic stimulus while the platform was in motion, to that while the platform was stationary. The scalp-recorded EEG channel signals were first separated into independent brain sources using Independent Component Analysis (ICA), and then studied with time-frequency analysis. Our results showed that independent brain processes near the somatomotor cortex exhibited alpha power decreases across sessions and subjects. Negative potentials phase-locked to the onsets of deviation events under motion conditions were observed in a central midline component. The results allow us to better understand different brain networks involved in driving, and provide a foundation for studying event-related EEG activities in the presence of kinesthetic stimuli.

Original languageEnglish
Title of host publicationEngineering Psychology and Cognitive Ergonomics - 7th International Conference, EPCE 2007. Held as Part of HCI International 2007, Proceedings
Pages551-560
Number of pages10
Publication statusPublished - 2007 Dec 24
Event7th International Conference on Engineering Psychology and Cognitive Ergonomics, EPCE 2007 - Beijing, China
Duration: 2007 Jul 222007 Jul 27

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4562 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other7th International Conference on Engineering Psychology and Cognitive Ergonomics, EPCE 2007
CountryChina
CityBeijing
Period07-07-2207-07-27

Fingerprint

Electroencephalography
Simulator
Simulators
Brain
Motion
Hexapod
Driving Simulator
Time-frequency Analysis
Independent Component Analysis
Cortex
Virtual Reality
Hydraulics
Independent component analysis
Deviation
Virtual reality
Decrease
Electroencephalogram

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Lin, C. T., Ko, L. W., Lin, Y. H., Jung, T. P., Liang, S-F., & Hsiao, L. S. (2007). EEG activities of dynamic stimulation in VR driving motion simulator. In Engineering Psychology and Cognitive Ergonomics - 7th International Conference, EPCE 2007. Held as Part of HCI International 2007, Proceedings (pp. 551-560). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4562 LNAI).
Lin, Chin Teng ; Ko, Li Wei ; Lin, Yin Hung ; Jung, Tzyy Ping ; Liang, Sheng-Fu ; Hsiao, Li Sor. / EEG activities of dynamic stimulation in VR driving motion simulator. Engineering Psychology and Cognitive Ergonomics - 7th International Conference, EPCE 2007. Held as Part of HCI International 2007, Proceedings. 2007. pp. 551-560 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{cd590e8071064d07bb2355cba6944948,
title = "EEG activities of dynamic stimulation in VR driving motion simulator",
abstract = "The purpose of this study is to investigate Electroencephalography dynamics in response to kinesthetic stimuli during driving. We used a Virtual Reality driving simulator consisted of a hydraulic hexapod motion platform to create practical driving events. We compared the EEG dynamics in response to kinesthetic stimulus while the platform was in motion, to that while the platform was stationary. The scalp-recorded EEG channel signals were first separated into independent brain sources using Independent Component Analysis (ICA), and then studied with time-frequency analysis. Our results showed that independent brain processes near the somatomotor cortex exhibited alpha power decreases across sessions and subjects. Negative potentials phase-locked to the onsets of deviation events under motion conditions were observed in a central midline component. The results allow us to better understand different brain networks involved in driving, and provide a foundation for studying event-related EEG activities in the presence of kinesthetic stimuli.",
author = "Lin, {Chin Teng} and Ko, {Li Wei} and Lin, {Yin Hung} and Jung, {Tzyy Ping} and Sheng-Fu Liang and Hsiao, {Li Sor}",
year = "2007",
month = "12",
day = "24",
language = "English",
isbn = "9783540733300",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "551--560",
booktitle = "Engineering Psychology and Cognitive Ergonomics - 7th International Conference, EPCE 2007. Held as Part of HCI International 2007, Proceedings",

}

Lin, CT, Ko, LW, Lin, YH, Jung, TP, Liang, S-F & Hsiao, LS 2007, EEG activities of dynamic stimulation in VR driving motion simulator. in Engineering Psychology and Cognitive Ergonomics - 7th International Conference, EPCE 2007. Held as Part of HCI International 2007, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4562 LNAI, pp. 551-560, 7th International Conference on Engineering Psychology and Cognitive Ergonomics, EPCE 2007, Beijing, China, 07-07-22.

EEG activities of dynamic stimulation in VR driving motion simulator. / Lin, Chin Teng; Ko, Li Wei; Lin, Yin Hung; Jung, Tzyy Ping; Liang, Sheng-Fu; Hsiao, Li Sor.

Engineering Psychology and Cognitive Ergonomics - 7th International Conference, EPCE 2007. Held as Part of HCI International 2007, Proceedings. 2007. p. 551-560 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4562 LNAI).

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

TY - GEN

T1 - EEG activities of dynamic stimulation in VR driving motion simulator

AU - Lin, Chin Teng

AU - Ko, Li Wei

AU - Lin, Yin Hung

AU - Jung, Tzyy Ping

AU - Liang, Sheng-Fu

AU - Hsiao, Li Sor

PY - 2007/12/24

Y1 - 2007/12/24

N2 - The purpose of this study is to investigate Electroencephalography dynamics in response to kinesthetic stimuli during driving. We used a Virtual Reality driving simulator consisted of a hydraulic hexapod motion platform to create practical driving events. We compared the EEG dynamics in response to kinesthetic stimulus while the platform was in motion, to that while the platform was stationary. The scalp-recorded EEG channel signals were first separated into independent brain sources using Independent Component Analysis (ICA), and then studied with time-frequency analysis. Our results showed that independent brain processes near the somatomotor cortex exhibited alpha power decreases across sessions and subjects. Negative potentials phase-locked to the onsets of deviation events under motion conditions were observed in a central midline component. The results allow us to better understand different brain networks involved in driving, and provide a foundation for studying event-related EEG activities in the presence of kinesthetic stimuli.

AB - The purpose of this study is to investigate Electroencephalography dynamics in response to kinesthetic stimuli during driving. We used a Virtual Reality driving simulator consisted of a hydraulic hexapod motion platform to create practical driving events. We compared the EEG dynamics in response to kinesthetic stimulus while the platform was in motion, to that while the platform was stationary. The scalp-recorded EEG channel signals were first separated into independent brain sources using Independent Component Analysis (ICA), and then studied with time-frequency analysis. Our results showed that independent brain processes near the somatomotor cortex exhibited alpha power decreases across sessions and subjects. Negative potentials phase-locked to the onsets of deviation events under motion conditions were observed in a central midline component. The results allow us to better understand different brain networks involved in driving, and provide a foundation for studying event-related EEG activities in the presence of kinesthetic stimuli.

UR - http://www.scopus.com/inward/record.url?scp=37249052336&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=37249052336&partnerID=8YFLogxK

M3 - Conference contribution

SN - 9783540733300

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 551

EP - 560

BT - Engineering Psychology and Cognitive Ergonomics - 7th International Conference, EPCE 2007. Held as Part of HCI International 2007, Proceedings

ER -

Lin CT, Ko LW, Lin YH, Jung TP, Liang S-F, Hsiao LS. EEG activities of dynamic stimulation in VR driving motion simulator. In Engineering Psychology and Cognitive Ergonomics - 7th International Conference, EPCE 2007. Held as Part of HCI International 2007, Proceedings. 2007. p. 551-560. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).