A Novel SSVEP Approach for Google Glass
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This document proposes a novel SSVEP approach for using brain-computer interfaces with Google Glass. It discusses configuring an SSVEP system using Google Glass, an EEG detection device, and Bluetooth connection. It selects SSVEP frequencies between 5-30 Hz to achieve optimal signal-to-noise ratio and avoid inducing seizures. Patterns are displayed on the Glass screen from 5 to 20 pixels in size at a distance of 40 cm from the subject. Future research areas include changing background colors and reducing noise from the camera.
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A Novel SSVEP Approach for Google Glass
- 6. SSVEP Amiri, Setare, et al. "A Review of P300, SSVEP, and Hybrid P300/SSVEP Brain-Computer Interface Systems." (2013).
- 7. System Configuration Google Glass Brain Computer EEG Detection Device
- 9. Interface
- 10. SSVEP Frequency Chosen an optimal signal-to-noise ratio (SNR) of the SSVEP can be usually achieved by stimulating in the 5–30 Hz range the whole alpha band (6– 13 Hz), and the early beta band (13–17 Hz) usually show better stimulus- related responses minimize the inclusion of the mid-late beta (15– 25 Hz) band because of its higher risk of inducing photoepileptic seizures Parini, Sergio, et al. "A robust and self-paced BCI system based on a four class SSVEP paradigm: algorithms and protocols for a high-transfer-rate direct brain communication." Computational Intelligence and Neuroscience 2009 (2009).
- 11. Distance Screen placed 40 cm away from the subject
- 12. Size GoogleGlass Screen Resolution: 640 X 360 The pixels : 1/8th the physical width of those on the iPhone 5's retina display Pattern Size : 5 -> 20
- 13. Size 15 pixel 5 pixel 10 pixel 20 pixel
- 14. Two patterns 40 pixel 10Hz 5 pixel 10Hz 20 pixel 10Hz 40 pixel 14Hz
- 15. Camera Preview Background 60 pixel 10Hz 40 pixel 10Hz 40 pixel 14Hz Cameral Background
- 16. Subject Walking
- 17. Future Research Changing the background color of the flashing areas into black Reduce the noise signal coming from camera