Resumen
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.
| Idioma original | English |
|---|---|
| Título de la publicación alojada | Proceedings - 2015 International Conference on Computational Science and Computational Intelligence, CSCI 2015 |
| Editores | Quoc-Nam Tran, Leonidas Deligiannidis, Hamid R. Arabnia |
| Páginas | 810-811 |
| Número de páginas | 2 |
| ISBN (versión digital) | 9781467397957 |
| DOI | |
| Estado | Published - mar 2 2016 |
| Evento | International Conference on Computational Science and Computational Intelligence, CSCI 2015 - Las Vegas, United States Duración: dic 7 2015 → dic 9 2015 |
Serie de la publicación
| Nombre | Proceedings - 2015 International Conference on Computational Science and Computational Intelligence, CSCI 2015 |
|---|
Conference
| Conference | International Conference on Computational Science and Computational Intelligence, CSCI 2015 |
|---|---|
| País/Territorio | United States |
| Ciudad | Las Vegas |
| Período | 12/7/15 → 12/9/15 |
Nota bibliográfica
Publisher Copyright:© 2015 IEEE.
ASJC Scopus subject areas
- Computational Theory and Mathematics
- Artificial Intelligence
- Computer Networks and Communications
- Hardware and Architecture
- Signal Processing
Huella
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