Development of ocular motory movements-based online BCI model with multi-triggering capabilities for rehabilitative control
by Shweta Singh; Dipali Bansal
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 21, No. 3, 2016

Abstract: BCI technology, immensely used in the field of neuro-prosthetic control, permits neural activity alone to control external devices. However, such systems mostly suffer from induced latency owing to complex interfacing in their design, thereby compromising on vital real-time aspect. In this paper, ocular motory movements-based BCI system capable of triggering multiple controls by acquiring and processing online EEG data directly in MATLAB using a custom developed Application Programming Interface (API) is proposed. Based on extracted linear temporal data statistics, a threshold algorithm is designed to detect thoughtful single and double eye blinks in order to generate control signals for playing two different audio files. The rigorous online testing further undertaken verifies the feasibility of developed BCI system in practical applications and also exhibits excellent accuracy. The simple experimental set-up uses an inexpensive commercially available Emotiv EEG neuro-headset as the data acquisition unit. The developed interface can further be miniaturised and designed as system on chip.

Online publication date: Sun, 14-Aug-2016

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