SIMULINK<sup>®</sup> based robotic hand control using Emotiv™ EEG headset

Abstract

The Emotiv™ electroencephalogram (EEG) headset is a non-invasive brain-computer interface with 14 EEG channels that was used to record neural responses to stimuli in 5 male and 5 female participants. The stimuli included instructions (presented in both visual or auditory format successively) of `right' or `left.' Participants raised their right or left arm in response to the instruction given. The subjects were stimulated and their data was recorded using a scenario generated in OpenViBE™. Specifically, the Graz Motor BCI Stimulator algorithm was used to generate the number and frequency of auditory and visual stimulations. In addition, using EEGlab™ in conjunction with Matlab <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">®</sup> , the electrodes most important during visual and auditory stimulation were identified. This aided in the development of processing real-time EEG signals from the Emotiv™ EEG headset. Filtering and feature extraction were accomplished via the SIMULINK <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">®</sup> signal processing toolbox. An Arduino™ microcontroller acted as a connection between the Mecha Te Hand™ and the Emotiv™ EEG headset.