SIMULINK® based robotic hand control using Emotiv™ EEG headset

Adrienne Kline, Jaydip Desai

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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.

Original languageEnglish (US)
Title of host publicationProceedings - 2014 40th Annual Northeast Bioengineering Conference, NEBEC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479937288
StatePublished - Dec 2 2014
Event2014 40th Annual Northeast Bioengineering Conference, NEBEC 2014 - Boston, United States
Duration: Apr 25 2014Apr 27 2014

Publication series

NameProceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC
ISSN (Print)1071-121X
ISSN (Electronic)2160-7001


Other2014 40th Annual Northeast Bioengineering Conference, NEBEC 2014
Country/TerritoryUnited States


  • Arduino microcontroller
  • Brain-computer interface (BCI)
  • EEGlab™
  • Emotiv™ EEG headset
  • Neural training
  • Robotics
  • Signal processing

ASJC Scopus subject areas

  • Bioengineering


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