Design of Wearable Headset with Steady State Visually Evoked Potential-Based Brain Computer Interface
Abstract
:1. Introduction
2. System Architecture and Implementation
2.1. Active Dry EEG Electrodes and Wearable Mechanical Design
2.2. FPGA-Based BCI Module
2.3. Visual Stimulus Device
2.4. Implementation of SSVEP BCI Algorithm in FPGA
3. Results
3.1. Performance of Proposed System on Detecting SSVEP
3.2. Information Transfer Rate of Proposed System
4. Discussions
5. Conclusions
Author Contributions
Funding
Conflicts of Interest
References
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Lin et al. [18] | Feng et al. [30] | Wang et al. [31] | Proposed System | |
---|---|---|---|---|
Accuracy (%) | 95 | 89 | 83.3 | 92.5 |
ITR (bits/min) | 14.58 | - | 4.6 | 36.08 |
Wearable system | Yes | Yes | Yes | Yes |
Wireless transmission | Bluetooth | Wifi | Bluetooth | Bluetooth |
Encoding | Phase coding | Frequency coding | Frequency coding | Frequency coding |
Number of EEG channels | 3 | 6 | 14 | 3 |
Number of control commands | 4 | 5 | 4 | 12 |
EEG sensor | Wet EEG electrode | Wet EEG electrodes | Saline-based electrodes | Novel dryelectrodes |
Main computing unit | FPGA | Back-end computer | Back-end computer | FPGA |
Stimulus device | LED | LCD | HMD | LCD |
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Lin, B.-S.; Lin, B.-S.; Yen, T.-H.; Hsu, C.-C.; Wang, Y.-C. Design of Wearable Headset with Steady State Visually Evoked Potential-Based Brain Computer Interface. Micromachines 2019, 10, 681. https://doi.org/10.3390/mi10100681
Lin B-S, Lin B-S, Yen T-H, Hsu C-C, Wang Y-C. Design of Wearable Headset with Steady State Visually Evoked Potential-Based Brain Computer Interface. Micromachines. 2019; 10(10):681. https://doi.org/10.3390/mi10100681
Chicago/Turabian StyleLin, Bor-Shyh, Bor-Shing Lin, Tzu-Hsiang Yen, Chien-Chin Hsu, and Yao-Chin Wang. 2019. "Design of Wearable Headset with Steady State Visually Evoked Potential-Based Brain Computer Interface" Micromachines 10, no. 10: 681. https://doi.org/10.3390/mi10100681