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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Dong-Ok Won Hai Hong Zhang Cuntai Guan Seong-Whan Lee |
| Copyright Year | 2014 |
| Description | Author affiliation: Inst. for Infocomm Res., Agency for Sci., Technol. & Res., Singapore, Singapore (Hai Hong Zhang; Cuntai Guan) || Dept. of Brain & Cognitive Eng., Korea Univ., Seoul, South Korea (Dong-Ok Won; Seong-Whan Lee) |
| Abstract | We developed and studied a Steady-State Visual Evoked Potential (SSVEP) based BCI system using a high frequency visual stimuli (>25Hz) design for reducing visual fatigue. Existing SSVEP based BCI designs primarily use low frequency visual stimuli (<;20Hz) for eliciting relatively higher SSVEP signal, while the low frequency stimuli can provocate photosensitivity epileptic seizure. On the other hand, high frequency stimuli are visually more comfortable and cause less visual fatigue and seizure. To detect the weak high frequency SSVEP signal, we used multi-channel EEG and introduced canonical correlation analysis to identify the elicited SSVEP frequency. We designed and built a 30-character SSVEP BCI speller system without calibration and evaluated the performance metrics including classification accuracy and subjective fatigue ratings, in both high-frequency and low frequency SSVEP modes. The result indicates that the high frequency stimuli system archieved higher classification accuracy (averaged 80% in the 30-class classification) comparable to that by the low frequency system. Moreover, no subjects rated the visual feeling as unacceptable or uncomfortable with the high frequency system. |
| Starting Page | 1068 |
| Ending Page | 1071 |
| File Size | 1647818 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781479938407 |
| DOI | 10.1109/SMC.2014.6974055 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-10-05 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Visualization Fatigue Accuracy Light emitting diodes Electroencephalography Correlation Layout Steady state visual evoked potentials (SSVEP) Brain-computer interface (BCI) |
| Content Type | Text |
| Resource Type | Article |
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