TY - GEN
T1 - Evaluation of wearable head set devices in older adult populations for research
AU - Ijjada, Mohan Sai
AU - Thapliyal, Himanshu
AU - Caban-Holt, Allison
AU - Arabnia, Hamid R.
PY - 2016/3/2
Y1 - 2016/3/2
N2 - 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.
AB - 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.
KW - Cognitive impairment
KW - Older adults
KW - Stress
UR - http://www.scopus.com/inward/record.url?scp=84964465043&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84964465043&partnerID=8YFLogxK
U2 - 10.1109/CSCI.2015.158
DO - 10.1109/CSCI.2015.158
M3 - Conference contribution
AN - SCOPUS:84964465043
T3 - Proceedings - 2015 International Conference on Computational Science and Computational Intelligence, CSCI 2015
SP - 810
EP - 811
BT - Proceedings - 2015 International Conference on Computational Science and Computational Intelligence, CSCI 2015
A2 - Tran, Quoc-Nam
A2 - Deligiannidis, Leonidas
A2 - Arabnia, Hamid R.
T2 - International Conference on Computational Science and Computational Intelligence, CSCI 2015
Y2 - 7 December 2015 through 9 December 2015
ER -