Applications of event-related-potential-based brain computer interface to intelligent transportation systems

Ruei Cheng Wu, Sheng Fu Liang, Chin Teng Lin, Chun Fei Hsu

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

6 Citations (Scopus)

Abstract

In this paper, an event-related-potential (ERP) -based brain computer interface (BCI) is proposed for the application of intelligent transportation systems (ITS). It consists of a virtual-reality (VR) motion simulation platform and an electroencephalographic signal detection and analysis system. The goals are to demonstrate the feasibility of detecting and analyzing multiple streams of ERP signals that organize operators' cognitive states and responses to task events, and to develop an ERP-based brain computer interface to meet the requirements of public security of intelligent transportation systems. We setup detailed experimental procedures to perform the cognitive tasks and collect high-fidelity ERP signals in the well-controlled VR-based laboratory environments. The independent component analysis (ICA) algorithms are applied to separate and get noise-free ERP signals from the multi-channel measured signals. Experimental results show that the separated ERP signals achieve a satisfactory result and can be further classified and transformed as the control/monitoring signals of safety-driving system for ITS.

Original languageEnglish
Title of host publicationConference Proceeding - 2004 IEEE International Conference on Networking, Sensing and Control
Pages813-818
Number of pages6
Publication statusPublished - 2004 Jun 28
EventConference Proceeding - 2004 IEEE International Conference on Networking, Sensing and Control - Taipei, Taiwan
Duration: 2004 Mar 212004 Mar 23

Publication series

NameConference Proceeding - IEEE International Conference on Networking, Sensing and Control
Volume2

Other

OtherConference Proceeding - 2004 IEEE International Conference on Networking, Sensing and Control
CountryTaiwan
CityTaipei
Period04-03-2104-03-23

Fingerprint

Brain computer interface
Virtual reality
Signal detection
Signal analysis
Independent component analysis
Monitoring

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

Wu, R. C., Liang, S. F., Lin, C. T., & Hsu, C. F. (2004). Applications of event-related-potential-based brain computer interface to intelligent transportation systems. In Conference Proceeding - 2004 IEEE International Conference on Networking, Sensing and Control (pp. 813-818). (Conference Proceeding - IEEE International Conference on Networking, Sensing and Control; Vol. 2).
Wu, Ruei Cheng ; Liang, Sheng Fu ; Lin, Chin Teng ; Hsu, Chun Fei. / Applications of event-related-potential-based brain computer interface to intelligent transportation systems. Conference Proceeding - 2004 IEEE International Conference on Networking, Sensing and Control. 2004. pp. 813-818 (Conference Proceeding - IEEE International Conference on Networking, Sensing and Control).
@inproceedings{75cbd74bc5654a0288f8be8c072459e7,
title = "Applications of event-related-potential-based brain computer interface to intelligent transportation systems",
abstract = "In this paper, an event-related-potential (ERP) -based brain computer interface (BCI) is proposed for the application of intelligent transportation systems (ITS). It consists of a virtual-reality (VR) motion simulation platform and an electroencephalographic signal detection and analysis system. The goals are to demonstrate the feasibility of detecting and analyzing multiple streams of ERP signals that organize operators' cognitive states and responses to task events, and to develop an ERP-based brain computer interface to meet the requirements of public security of intelligent transportation systems. We setup detailed experimental procedures to perform the cognitive tasks and collect high-fidelity ERP signals in the well-controlled VR-based laboratory environments. The independent component analysis (ICA) algorithms are applied to separate and get noise-free ERP signals from the multi-channel measured signals. Experimental results show that the separated ERP signals achieve a satisfactory result and can be further classified and transformed as the control/monitoring signals of safety-driving system for ITS.",
author = "Wu, {Ruei Cheng} and Liang, {Sheng Fu} and Lin, {Chin Teng} and Hsu, {Chun Fei}",
year = "2004",
month = "6",
day = "28",
language = "English",
isbn = "0780381939",
series = "Conference Proceeding - IEEE International Conference on Networking, Sensing and Control",
pages = "813--818",
booktitle = "Conference Proceeding - 2004 IEEE International Conference on Networking, Sensing and Control",

}

Wu, RC, Liang, SF, Lin, CT & Hsu, CF 2004, Applications of event-related-potential-based brain computer interface to intelligent transportation systems. in Conference Proceeding - 2004 IEEE International Conference on Networking, Sensing and Control. Conference Proceeding - IEEE International Conference on Networking, Sensing and Control, vol. 2, pp. 813-818, Conference Proceeding - 2004 IEEE International Conference on Networking, Sensing and Control, Taipei, Taiwan, 04-03-21.

Applications of event-related-potential-based brain computer interface to intelligent transportation systems. / Wu, Ruei Cheng; Liang, Sheng Fu; Lin, Chin Teng; Hsu, Chun Fei.

Conference Proceeding - 2004 IEEE International Conference on Networking, Sensing and Control. 2004. p. 813-818 (Conference Proceeding - IEEE International Conference on Networking, Sensing and Control; Vol. 2).

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

TY - GEN

T1 - Applications of event-related-potential-based brain computer interface to intelligent transportation systems

AU - Wu, Ruei Cheng

AU - Liang, Sheng Fu

AU - Lin, Chin Teng

AU - Hsu, Chun Fei

PY - 2004/6/28

Y1 - 2004/6/28

N2 - In this paper, an event-related-potential (ERP) -based brain computer interface (BCI) is proposed for the application of intelligent transportation systems (ITS). It consists of a virtual-reality (VR) motion simulation platform and an electroencephalographic signal detection and analysis system. The goals are to demonstrate the feasibility of detecting and analyzing multiple streams of ERP signals that organize operators' cognitive states and responses to task events, and to develop an ERP-based brain computer interface to meet the requirements of public security of intelligent transportation systems. We setup detailed experimental procedures to perform the cognitive tasks and collect high-fidelity ERP signals in the well-controlled VR-based laboratory environments. The independent component analysis (ICA) algorithms are applied to separate and get noise-free ERP signals from the multi-channel measured signals. Experimental results show that the separated ERP signals achieve a satisfactory result and can be further classified and transformed as the control/monitoring signals of safety-driving system for ITS.

AB - In this paper, an event-related-potential (ERP) -based brain computer interface (BCI) is proposed for the application of intelligent transportation systems (ITS). It consists of a virtual-reality (VR) motion simulation platform and an electroencephalographic signal detection and analysis system. The goals are to demonstrate the feasibility of detecting and analyzing multiple streams of ERP signals that organize operators' cognitive states and responses to task events, and to develop an ERP-based brain computer interface to meet the requirements of public security of intelligent transportation systems. We setup detailed experimental procedures to perform the cognitive tasks and collect high-fidelity ERP signals in the well-controlled VR-based laboratory environments. The independent component analysis (ICA) algorithms are applied to separate and get noise-free ERP signals from the multi-channel measured signals. Experimental results show that the separated ERP signals achieve a satisfactory result and can be further classified and transformed as the control/monitoring signals of safety-driving system for ITS.

UR - http://www.scopus.com/inward/record.url?scp=2942693880&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=2942693880&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:2942693880

SN - 0780381939

T3 - Conference Proceeding - IEEE International Conference on Networking, Sensing and Control

SP - 813

EP - 818

BT - Conference Proceeding - 2004 IEEE International Conference on Networking, Sensing and Control

ER -

Wu RC, Liang SF, Lin CT, Hsu CF. Applications of event-related-potential-based brain computer interface to intelligent transportation systems. In Conference Proceeding - 2004 IEEE International Conference on Networking, Sensing and Control. 2004. p. 813-818. (Conference Proceeding - IEEE International Conference on Networking, Sensing and Control).