Conference paper
A P300-based EEG-BCI for spatial navigation control
Conference proceedings (IEEE Engineering in Medicine and Biology Society. Conf.), v 2012, pp 3841-3844
2012
PMID: 23366766
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
In this study, a Brain Computer Interface (BCI) based on the P300 oddball paradigm has been developed for spatial navigation control in virtual environments. Functionality and efficacy of the system were analyzed with results from nine healthy volunteers. Each participant was asked to gaze at an individual target in a 3×3 P300 matrix containing different symbolic navigational icons while EEG signals were collected. Resulting ERPs were processed online and classification commands were executed to control spatial movements within the MazeSuite virtual environment and presented to the user online during an experiment. Subjects demonstrated on average, ∼89% online accuracy for simple mazes and ∼82% online accuracy in longer more complex mazes. Results suggest that this BCI setup enables guided free-form navigation in virtual 3D environments.
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Details
- Title
- A P300-based EEG-BCI for spatial navigation control
- Creators
- Adrian Curtin - Drexel University, School of Biomedical Engineering, Science, and Health SystemsHasan Ayaz - Drexel University, School of Biomedical Engineering, Science, and Health SystemsYichuan Liu - Drexel University, School of Biomedical Engineering, Science, and Health SystemsPatricia A Shewokis - Drexel University, College of Nursing and Health ProfessionsBanu Onaral - Drexel University, School of Biomedical Engineering, Science, and Health Systems
- Publication Details
- Conference proceedings (IEEE Engineering in Medicine and Biology Society. Conf.), v 2012, pp 3841-3844
- Conference
- 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (San Diego, California, United States, 28 Aug 2012–01 Sep 2012)
- Publisher
- The Institute of Electrical and Electronics Engineers, Inc. (IEEE); United States
- Number of pages
- 4
- Resource Type
- Conference paper
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems; Nutrition Sciences; Health Sciences Division
- Web of Science ID
- WOS:000313296504017
- Scopus ID
- 2-s2.0-84870848209
- Other Identifier
- 9781457717871; 1457717875; 991014877910404721
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- Web of Science research areas
- Engineering, Biomedical
- Engineering, Electrical & Electronic