A driver-vehicle interface based on ERD/ERS potentials and alpha rhythm

Luzheng Bi; Tenghuan He; Xinan Fan

doi:10.1109/SMC.2014.6974053

A driver-vehicle interface based on ERD/ERS potentials and alpha rhythm

Luzheng Bi, Tenghuan He, Xinan Fan

School of Mechanical Engineering

Beijing Institute of Technology

Research output: Contribution to journal › Conference article › peer-review

7 Citations (Scopus)

Abstract

In this paper, we propose a novel driver-vehicle interface by using the event-related desynchronizations (ERD) and event-related synchronization (ERS) potentials induced by motor imagery in conjunction with alpha rhythm to interact with a vehicle. The alpha rhythm, which is recognized by using a linear discriminant analysis (LDA) classifier, is employed to control the starting and stopping of the vehicle. The ERD/ERS brain-computer interface (BCI) is applied to control the turning left and right of the vehicle. A simulated vehicle based on the proposed driver-vehicle interface is developed and tested online by applying a driving task, including vehicle starting and stopping, lane keeping and curve negotiation, and avoiding obstacle. The experimental results suggest that the proposed interface is feasible.

Original language	English
Article number	6974053
Pages (from-to)	1058-1062
Number of pages	5
Journal	Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Volume	2014-January
Issue number	January
DOIs	https://doi.org/10.1109/SMC.2014.6974053
Publication status	Published - 2014
Event	2014 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2014 - San Diego, United States Duration: 5 Oct 2014 → 8 Oct 2014

Keywords

Alpha rhythm
Brain-controlled vehicle
Driver-vehicle interaction
Motor imagery

Access to Document

10.1109/SMC.2014.6974053

Cite this

@article{9308ac3aa75141f4bdf26fa5b1d25b35,

title = "A driver-vehicle interface based on ERD/ERS potentials and alpha rhythm",

abstract = "In this paper, we propose a novel driver-vehicle interface by using the event-related desynchronizations (ERD) and event-related synchronization (ERS) potentials induced by motor imagery in conjunction with alpha rhythm to interact with a vehicle. The alpha rhythm, which is recognized by using a linear discriminant analysis (LDA) classifier, is employed to control the starting and stopping of the vehicle. The ERD/ERS brain-computer interface (BCI) is applied to control the turning left and right of the vehicle. A simulated vehicle based on the proposed driver-vehicle interface is developed and tested online by applying a driving task, including vehicle starting and stopping, lane keeping and curve negotiation, and avoiding obstacle. The experimental results suggest that the proposed interface is feasible.",

keywords = "Alpha rhythm, Brain-controlled vehicle, Driver-vehicle interaction, Motor imagery",

author = "Luzheng Bi and Tenghuan He and Xinan Fan",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2014 ; Conference date: 05-10-2014 Through 08-10-2014",

year = "2014",

doi = "10.1109/SMC.2014.6974053",

language = "English",

volume = "2014-January",

pages = "1058--1062",

journal = "Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics",

issn = "1062-922X",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "January",

}

TY - JOUR

T1 - A driver-vehicle interface based on ERD/ERS potentials and alpha rhythm

AU - Bi, Luzheng

AU - He, Tenghuan

AU - Fan, Xinan

PY - 2014

Y1 - 2014

N2 - In this paper, we propose a novel driver-vehicle interface by using the event-related desynchronizations (ERD) and event-related synchronization (ERS) potentials induced by motor imagery in conjunction with alpha rhythm to interact with a vehicle. The alpha rhythm, which is recognized by using a linear discriminant analysis (LDA) classifier, is employed to control the starting and stopping of the vehicle. The ERD/ERS brain-computer interface (BCI) is applied to control the turning left and right of the vehicle. A simulated vehicle based on the proposed driver-vehicle interface is developed and tested online by applying a driving task, including vehicle starting and stopping, lane keeping and curve negotiation, and avoiding obstacle. The experimental results suggest that the proposed interface is feasible.

AB - In this paper, we propose a novel driver-vehicle interface by using the event-related desynchronizations (ERD) and event-related synchronization (ERS) potentials induced by motor imagery in conjunction with alpha rhythm to interact with a vehicle. The alpha rhythm, which is recognized by using a linear discriminant analysis (LDA) classifier, is employed to control the starting and stopping of the vehicle. The ERD/ERS brain-computer interface (BCI) is applied to control the turning left and right of the vehicle. A simulated vehicle based on the proposed driver-vehicle interface is developed and tested online by applying a driving task, including vehicle starting and stopping, lane keeping and curve negotiation, and avoiding obstacle. The experimental results suggest that the proposed interface is feasible.

KW - Alpha rhythm

KW - Brain-controlled vehicle

KW - Driver-vehicle interaction

KW - Motor imagery

UR - http://www.scopus.com/inward/record.url?scp=84938064005&partnerID=8YFLogxK

U2 - 10.1109/SMC.2014.6974053

DO - 10.1109/SMC.2014.6974053

M3 - Conference article

AN - SCOPUS:84938064005

SN - 1062-922X

VL - 2014-January

SP - 1058

EP - 1062

JO - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

JF - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

IS - January

M1 - 6974053

T2 - 2014 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2014

Y2 - 5 October 2014 through 8 October 2014

ER -

A driver-vehicle interface based on ERD/ERS potentials and alpha rhythm

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this