SSVEP Stimulus Number Effect on Performance of Brain-Computer Interfaces in Augmented Reality Glasses
Steady-state visual evoked potentials-based brain-computer interfaces (SSVEP-BCI) can map visual stimuli with dif-ferent frequencies to certain commands to control external devices.In order to explore the capacitability of AR-BCI on the number of stimuli and the influence of the number of multi-targ...
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| Format: | Article |
| Language: | zho |
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Editorial office of Computer Science
2021-08-01
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| Series: | Jisuanji kexue |
| Subjects: | |
| Online Access: | http://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2021-8-309.pdf |
| _version_ | 1818355871581732864 |
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| author | DU Yu-lin, HUANG Zhang-rui, ZHAO Xin-can, LIU Chen-yang |
| author_facet | DU Yu-lin, HUANG Zhang-rui, ZHAO Xin-can, LIU Chen-yang |
| author_sort | DU Yu-lin, HUANG Zhang-rui, ZHAO Xin-can, LIU Chen-yang |
| collection | DOAJ |
| description | Steady-state visual evoked potentials-based brain-computer interfaces (SSVEP-BCI) can map visual stimuli with dif-ferent frequencies to certain commands to control external devices.In order to explore the capacitability of AR-BCI on the number of stimuli and the influence of the number of multi-target stimuli on the classification accuracy of AR-BCI,4 layouts of stimuli with different numbers are designed in this study and displayed through HoloLens (AR) glasses.The comparative analysis shows that the classification accuracy of the 4 layouts gradually decreases with the increase of the number of stimuli,and the location of stimuli affects the accuracy of stimulus classification.In the similar experimental paradigm,the classification results of PC screen and AR display terminals are compared,and it is found that the increasing number of stimuli has a great impact on the classification performance of AR-BCI.Current study indicates that the amount of stimulus is a key factor affecting the construction of AR-BCI in AR environment. |
| first_indexed | 2024-12-13T19:48:12Z |
| format | Article |
| id | doaj.art-2abcf0f3ed264eb990d9387a6ba2a9e4 |
| institution | Directory Open Access Journal |
| issn | 1002-137X |
| language | zho |
| last_indexed | 2024-12-13T19:48:12Z |
| publishDate | 2021-08-01 |
| publisher | Editorial office of Computer Science |
| record_format | Article |
| series | Jisuanji kexue |
| spelling | doaj.art-2abcf0f3ed264eb990d9387a6ba2a9e42022-12-21T23:33:30ZzhoEditorial office of Computer ScienceJisuanji kexue1002-137X2021-08-0148830931410.11896/jsjkx.200700219SSVEP Stimulus Number Effect on Performance of Brain-Computer Interfaces in Augmented Reality GlassesDU Yu-lin, HUANG Zhang-rui, ZHAO Xin-can, LIU Chen-yang0School of Information Engineering,Zhengzhou University,Zhengzhou 450001,ChinaSteady-state visual evoked potentials-based brain-computer interfaces (SSVEP-BCI) can map visual stimuli with dif-ferent frequencies to certain commands to control external devices.In order to explore the capacitability of AR-BCI on the number of stimuli and the influence of the number of multi-target stimuli on the classification accuracy of AR-BCI,4 layouts of stimuli with different numbers are designed in this study and displayed through HoloLens (AR) glasses.The comparative analysis shows that the classification accuracy of the 4 layouts gradually decreases with the increase of the number of stimuli,and the location of stimuli affects the accuracy of stimulus classification.In the similar experimental paradigm,the classification results of PC screen and AR display terminals are compared,and it is found that the increasing number of stimuli has a great impact on the classification performance of AR-BCI.Current study indicates that the amount of stimulus is a key factor affecting the construction of AR-BCI in AR environment.http://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2021-8-309.pdfbrain-computer interfaces|steady-state visual evoked potentials|augmented reality|stimuli number |
| spellingShingle | DU Yu-lin, HUANG Zhang-rui, ZHAO Xin-can, LIU Chen-yang SSVEP Stimulus Number Effect on Performance of Brain-Computer Interfaces in Augmented Reality Glasses Jisuanji kexue brain-computer interfaces|steady-state visual evoked potentials|augmented reality|stimuli number |
| title | SSVEP Stimulus Number Effect on Performance of Brain-Computer Interfaces in Augmented Reality Glasses |
| title_full | SSVEP Stimulus Number Effect on Performance of Brain-Computer Interfaces in Augmented Reality Glasses |
| title_fullStr | SSVEP Stimulus Number Effect on Performance of Brain-Computer Interfaces in Augmented Reality Glasses |
| title_full_unstemmed | SSVEP Stimulus Number Effect on Performance of Brain-Computer Interfaces in Augmented Reality Glasses |
| title_short | SSVEP Stimulus Number Effect on Performance of Brain-Computer Interfaces in Augmented Reality Glasses |
| title_sort | ssvep stimulus number effect on performance of brain computer interfaces in augmented reality glasses |
| topic | brain-computer interfaces|steady-state visual evoked potentials|augmented reality|stimuli number |
| url | http://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2021-8-309.pdf |
| work_keys_str_mv | AT duyulinhuangzhangruizhaoxincanliuchenyang ssvepstimulusnumbereffectonperformanceofbraincomputerinterfacesinaugmentedrealityglasses |