SIMULINK® based robotic hand control using Emotiv™ EEG headset

• Published in: Proceedings of the Annual Northeast Bioengineering Conference pp. 1 - 2
• Main Authors: Kline, Adrienne, Desai, Jaydip
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.04.2014
• Subjects: Arduino microcontroller; Brain-Computer Interface (BCI); Brain-computer interfaces; EEGlab; Electrodes; Electroencephalography; Emotiv™ EEG headset; Headphones; neural training; robotics; Sensors; signal processing; SIMULINK; Software packages; Visualization
• ISSN: 2160-6986
• DOI: 10.1109/NEBEC.2014.6972839

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 ® , 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 ® signal processing toolbox. An Arduino™ microcontroller acted as a connection between the Mecha Te Hand™ and the Emotiv™ EEG headset.