On the Use of the EMOTIV Cortex API to Control a Robotic Arm Using Raw EEG Signals Acquired from the EMOTIV Insight NeuroHeadset

Ivan N. Zamora, Diego S. Benitez, Manuel S. Navarro

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

This paper explores the feasibility of using the Emotiv Cortex Application Programming Interface (API) service to obtain raw sensor signals from the Emotiv Insight NeuroHeadset for the control of a robotic arm. A data acquisition software based on Python was developed to use the service through data streaming in a Websocket. Raw EEG and motion sensor signals from the headset were processed for event detection. Detected events were then used to trigger control signals to a robotic arm controlled by a Raspberry Pi 3 using the IoT MQTT protocol. The results obtained indicate that the proposed approach and the algorithms developed were adequate translated into valid commands for effective development of a Head-Computer Interface that enables complete interaction with a robotic arm.

Original languageEnglish
Title of host publicationIEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728131856
DOIs
StatePublished - Nov 2019
Event2019 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2019 - Valparaiso, Chile
Duration: 13 Nov 201927 Nov 2019

Publication series

NameIEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2019

Conference

Conference2019 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2019
Country/TerritoryChile
CityValparaiso
Period13/11/1927/11/19

Keywords

  • EEG
  • brain-computer interface
  • event detection
  • robotic arm control

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