Paper
22 May 2015 Research on steady-state visual evoked potentials in 3D displays
Yu-Yi Chien, Chia-Ying Lee, Fang-Cheng Lin, Yi-Pai Huang, Li-Wei Ko, Han-Ping D. Shieh
Author Affiliations +
Abstract
Brain-computer interfaces (BCIs) are intuitive systems for users to communicate with outer electronic devices. Steady state visual evoked potential (SSVEP) is one of the common inputs for BCI systems due to its easy detection and high information transfer rates. An advanced interactive platform integrated with liquid crystal displays is leading a trend to provide an alternative option not only for the handicapped but also for the public to make our lives more convenient. Many SSVEP-based BCI systems have been studied in a 2D environment; however there is only little literature about SSVEP-based BCI systems using 3D stimuli. 3D displays have potentials in SSVEP-based BCI systems because they can offer vivid images, good quality in presentation, various stimuli and more entertainment. The purpose of this study was to investigate the effect of two important 3D factors (disparity and crosstalk) on SSVEPs. Twelve participants participated in the experiment with a patterned retarder 3D display. The results show that there is a significant difference (p-value<0.05) between large and small disparity angle, and the signal-to-noise ratios (SNRs) of small disparity angles is higher than those of large disparity angles. The 3D stimuli with smaller disparity and lower crosstalk are more suitable for applications based on the results of 3D perception and SSVEP responses (SNR). Furthermore, we can infer the 3D perception of users by SSVEP responses, and modify the proper disparity of 3D images automatically in the future.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yu-Yi Chien, Chia-Ying Lee, Fang-Cheng Lin, Yi-Pai Huang, Li-Wei Ko, and Han-Ping D. Shieh "Research on steady-state visual evoked potentials in 3D displays", Proc. SPIE 9495, Three-Dimensional Imaging, Visualization, and Display 2015, 94950U (22 May 2015); https://doi.org/10.1117/12.2184373
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KEYWORDS
3D displays

3D image processing

Brain-machine interfaces

Visualization

Signal to noise ratio

Electroencephalography

3D acquisition

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