DIY hybrid SSVEP-P300 LED stimuli for BCI platform using EMOTIV EEG headset
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arXiv
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| Format: | Preprint |
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2025
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| _version_ | 1866913972487192576 |
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| author | Mouli, Surej Palaniappan, Ramaswamy |
| author_facet | Mouli, Surej Palaniappan, Ramaswamy |
| contents | A fully customisable chip-on board (COB) LED design to evoke two brain responses simultaneously (steady state visual evoked potential (SSVEP) and transient evoked potential, P300) is discussed in this paper. Considering different possible modalities in braincomputer interfacing (BCI), SSVEP is widely accepted as it requires a lesser number of electroencephalogram (EEG) electrodes and minimal training time. The aim of this work was to produce a hybrid BCI hardware platform to evoke SSVEP and P300 precisely with reduced fatigue and improved classification performance. The system comprises of four independent radial green visual stimuli controlled individually by a 32-bit microcontroller platform to evoke SSVEP and four red LEDs flashing at random intervals to generate P300 events. The system can also record the P300 event timestamps that can be used in classification, to improve the accuracy and reliability. The hybrid stimulus was tested for realtime classification accuracy by controlling a LEGO robot to move in four directions. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_01510 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | DIY hybrid SSVEP-P300 LED stimuli for BCI platform using EMOTIV EEG headset Mouli, Surej Palaniappan, Ramaswamy Signal Processing Human-Computer Interaction A fully customisable chip-on board (COB) LED design to evoke two brain responses simultaneously (steady state visual evoked potential (SSVEP) and transient evoked potential, P300) is discussed in this paper. Considering different possible modalities in braincomputer interfacing (BCI), SSVEP is widely accepted as it requires a lesser number of electroencephalogram (EEG) electrodes and minimal training time. The aim of this work was to produce a hybrid BCI hardware platform to evoke SSVEP and P300 precisely with reduced fatigue and improved classification performance. The system comprises of four independent radial green visual stimuli controlled individually by a 32-bit microcontroller platform to evoke SSVEP and four red LEDs flashing at random intervals to generate P300 events. The system can also record the P300 event timestamps that can be used in classification, to improve the accuracy and reliability. The hybrid stimulus was tested for realtime classification accuracy by controlling a LEGO robot to move in four directions. |
| title | DIY hybrid SSVEP-P300 LED stimuli for BCI platform using EMOTIV EEG headset |
| topic | Signal Processing Human-Computer Interaction |
| url | https://arxiv.org/abs/2508.01510 |