Memmott, T., Peters, B., Erdogmus, D., Fried–Oken, M., Oken, B. (2016, May). Detecting Drowsiness in RSVP Keyboard BCI Users with SSPI.
- Detection of drowsiness is critically important for BCI users with severe speech and physical impairments (SSPI).
- Drowsiness could be a potential indicator for why participants score poorly during BCI calibration sessions.
- In this study, Memmott et al. investigated whether drowsiness could be detected by using physiological measures such as eye-blink rate, theta wave (4-7 Hz), alpha wave (8-12 Hz) and P300 amplitudes.
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