Use of brain computer interface to drive : preliminary results
Hood, Deanna, Joseph, Damian, Rakotonirainy, Andry, & Sridharan, Sridha (2012) Use of brain computer interface to drive : preliminary results. In Kun, A.L., Boyle , L.N., Reimer, B., & Riener, A. (Eds.) Proceedings of the 4th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, ACM, Portsmouth, NH, pp. 103-106.
This paper reports on the implementation of a non-invasive electroencephalography-based brain-computer interface to control functions of a car in a driving simulator. The system is comprised of a Cleveland Medical Devices BioRadio 150 physiological signal recorder, a MATLAB-based BCI and an OKTAL SCANeR advanced driving experience simulator.
The system utilizes steady-state visual-evoked potentials for the BCI paradigm, elicited by frequency-modulated high-power LEDs and recorded with the electrode placement of Oz-Fz with Fz as ground. A three-class online brain-computer interface was developed and interfaced with an advanced driving simulator to control functions of the car, including acceleration and steering.
The findings are mainly exploratory but provide an indication of the feasibility and challenges of brain-controlled on-road cars for the future, in addition to a safe, simulated BCI driving environment to use as a foundation for research into overcoming these challenges.
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|Item Type:||Conference Paper|
|Keywords:||Brain computer interface (BCI), Car simulator, electroencephalography (EEG), human computer interaction, intelligent transport systems;, steady state visual evoked potential (SSVEP)|
|Divisions:||Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2012 ACM|
|Deposited On:||20 Mar 2013 22:46|
|Last Modified:||12 Jun 2013 15:39|
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