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OpenBCI + 3D-Printed Headphones = Open ExG Headphones – An Open-Source Research Platform for Biopotential Earable Applications

Knierim, Michael T. 1; Puhl, Daniel 2; Ivucic, Gabriel; Röddiger, Tobias ORCID iD icon 3
1 Institut für Wirtschaftsinformatik und Marketing (IISM), Karlsruher Institut für Technologie (KIT)
2 Karlsruher Institut für Technologie (KIT)
3 Institut für Telematik (TM), Karlsruher Institut für Technologie (KIT)

Abstract:

Eearables research is a promising field in Human-Computer Interaction (HCI) due to the variety of observable phenomena that can be captured by sensors placed in the ear region. However, this field is hindered by the use of custom-built hardware and software, which can create barriers for less experienced researchers and lead to high assessment heterogeneity. To address this challenge, we have developed a platform for electrophysiological ear-centered research. This platform combines the established amplifier hardware and recording software stack of the OpenBCI biosignal ExG system with a low-cost 3D-printed over-ear headphone design, based on electrode positioning best practices from neuroscientific research. To demonstrate the flexibility and potential of this platform, we have conducted two studies replicating classical EEG, EOG, ECG, and EMG patterns, and showing that the system is reliable and easy to use in a promising application scenario: detecting mental workload levels across multiple tasks.


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Originalveröffentlichung
DOI: 10.1145/3544549.3585875
Scopus
Zitationen: 4
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Zitationen: 4
Zugehörige Institution(en) am KIT Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB)
Institut für Telematik (TM)
Institut für Wirtschaftsinformatik und Marketing (IISM)
Publikationstyp Proceedingsbeitrag
Publikationsdatum 23.04.2023
Sprache Englisch
Identifikator ISBN: 978-1-4503-9422-2
KITopen-ID: 1000157943
Erschienen in CHI EA '23: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems. Ed.: A. Schmidt
Veranstaltung Conference on Human Factors in Computing Systems (CHI 2023), Hamburg, Deutschland, 23.04.2023 – 28.04.2023
Verlag Association for Computing Machinery (ACM)
Seiten Art.-Nr.: 221
Vorab online veröffentlicht am 19.04.2023
Schlagwörter Earables; Headphones; OpenBCI; EEG; ECG; EOG; EMG; Mental Workload
Nachgewiesen in Scopus
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