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Open-source concealed EEG data collection for Brain-computer-interfaces - neural observation through OpenBCI amplifiers with around-the-ear cEEGrid electrodes

Open-source concealed EEG data collection for Brain-computer-interfaces - neural observation... Observing brain activity in real life offers exciting possibilities like the support of physical health, mental well-being, and thought-controlled interaction modalities. The development of such applications is, however, strongly impeded by low accessibility to research-grade neural data and a lack of easy-to-use and comfortable sensors. To overcome these challenges, we present the cost-effective adaptation of concealed around-the-ear EEG electrodes (cEEGrids) to the open-source OpenBCI EEG signal acquisition platform. The system combines publicly available electronic components with 3D-printed parts, forming an easily replicable recording system for prolonged use and flexible application development. To demonstrate the system’s feasibility, experimentally induced changes in visual stimulation and mental workload are replicated. Lastly, a novel application area is investigated, the observation of flow experiences through observation of temporal Alpha power changes. Support for a link between temporal Alpha power and flow is found, indicating an efficient engagement of verbal-analytic reasoning with intensified flow levels. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Brain-Computer Interfaces Taylor & Francis

Open-source concealed EEG data collection for Brain-computer-interfaces - neural observation through OpenBCI amplifiers with around-the-ear cEEGrid electrodes

Open-source concealed EEG data collection for Brain-computer-interfaces - neural observation through OpenBCI amplifiers with around-the-ear cEEGrid electrodes

Abstract

Observing brain activity in real life offers exciting possibilities like the support of physical health, mental well-being, and thought-controlled interaction modalities. The development of such applications is, however, strongly impeded by low accessibility to research-grade neural data and a lack of easy-to-use and comfortable sensors. To overcome these challenges, we present the cost-effective adaptation of concealed around-the-ear EEG electrodes (cEEGrids) to the open-source OpenBCI EEG...
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Publisher
Taylor & Francis
Copyright
© 2021 Informa UK Limited, trading as Taylor & Francis Group
ISSN
2326-2621
eISSN
2326-263x
DOI
10.1080/2326263X.2021.1972633
Publisher site
See Article on Publisher Site

Abstract

Observing brain activity in real life offers exciting possibilities like the support of physical health, mental well-being, and thought-controlled interaction modalities. The development of such applications is, however, strongly impeded by low accessibility to research-grade neural data and a lack of easy-to-use and comfortable sensors. To overcome these challenges, we present the cost-effective adaptation of concealed around-the-ear EEG electrodes (cEEGrids) to the open-source OpenBCI EEG signal acquisition platform. The system combines publicly available electronic components with 3D-printed parts, forming an easily replicable recording system for prolonged use and flexible application development. To demonstrate the system’s feasibility, experimentally induced changes in visual stimulation and mental workload are replicated. Lastly, a novel application area is investigated, the observation of flow experiences through observation of temporal Alpha power changes. Support for a link between temporal Alpha power and flow is found, indicating an efficient engagement of verbal-analytic reasoning with intensified flow levels.

Journal

Brain-Computer InterfacesTaylor & Francis

Published: Oct 2, 2021

Keywords: Concealed EEG; OpenBCI; cEEGrid; Brain-Computer-Interface; wearables

References