Evaluation of wearable head set devices in older adult populations for research

Mohan Sai Ijjada, Himanshu Thapliyal, Allison Caban-Holt, Hamid R. Arabnia

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

8 Scopus citations

Abstract

In this paper we would like to outline some of the wearable EEG headset available in the market that could be useful for the stress detection in older adults. These head set devices have EEG sensors that detect neurological activity and the data can be transferred to a smartphone via Bluetooth or wireless internet. With neurological activity the headset can detect attention, focus, engagement, interest, excitement, affinity, and relaxation and stress levels of the person. While there are several existing EEG headsets, in this investigation we have explored four EEG headset devices, Emotiv Epoc, Emotiv Insight, InteraXon Muse and Imec EEG headset for their applicability in cognitive research. The features of the four EEG headsets are summarized so that the researchers can choose the appropriate headset according to their research requirements.

Original languageEnglish
Title of host publicationProceedings - 2015 International Conference on Computational Science and Computational Intelligence, CSCI 2015
EditorsQuoc-Nam Tran, Leonidas Deligiannidis, Hamid R. Arabnia
Pages810-811
Number of pages2
ISBN (Electronic)9781467397957
DOIs
StatePublished - Mar 2 2016
EventInternational Conference on Computational Science and Computational Intelligence, CSCI 2015 - Las Vegas, United States
Duration: Dec 7 2015Dec 9 2015

Publication series

NameProceedings - 2015 International Conference on Computational Science and Computational Intelligence, CSCI 2015

Conference

ConferenceInternational Conference on Computational Science and Computational Intelligence, CSCI 2015
Country/TerritoryUnited States
CityLas Vegas
Period12/7/1512/9/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

  • Cognitive impairment
  • Older adults
  • Stress

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture
  • Signal Processing

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