Advancing Wearable BCI: Headphone EEG for Cognitive Load Detection in Lab and Field
Michael T. Knierim, Christian Zimny, Gabriel Ivucic, Tobias Röddiger
Abstract
By tracking changes in brain activity, researchers are constantly working to revolutionise human-technology interaction. Unfortunately, such brain-computer interfaces still face limitations in terms of wearability, making large-scale data collection difficult. While gel-based wearable solutions exist, validated dry electrode systems are needed for practical everyday use. In this article, two experiments with 50 participants and 146 recordings were conducted in laboratory and field settings to compare the wearability and performance of two dry-electrode EEG systems: the Open ExG headphones and the OpenBCI Ultracortex full-head EEG. Our results show that the headphone EEG is perceived as more wearable, has equal signal quality and recording reliability when set up by a trained experimenter in the lab, and shows reliable performance in a relevant application scenario: classification of cognitive load levels across four tasks. Field evaluations further validate these results through reliable load monitoring across recording sessions, after self-setup by study participants at home. While some limitations remain for wider field use of dry-electrode headphone EEG, we highlight necessary and achievable improvements for future system and study designs for real-world use.
Ask about this paper
Ask your agent about it.
Lune has read the top-tier papers around this one, so every answer names the papers it rests on.
Cited by top-tier papers1
Ask how each one uses itRelated papers
- Charge for a whole day: Extending Battery Life for BCI Wearables using a Lightweight Wake-Up CommandMohit Agarwal, Raghupathy SivakumarCHI 2020 · 12 citations
- Rest Assured: Detecting Mental Fatigue and Recovery with EEG HeadphonesLukas Schick, Emilia Frey, Felix Putze, Michael T. KnierimCHI 2026 · 1 citation
- MYND: Unsupervised Evaluation of Novel BCI Control Strategies on Consumer HardwareMatthias R. Hohmann, Lisa Konieczny, Michelle Hackl, Brian Wirth et al.UIST 2020 · 4 citations
- Inexpensive Brainwave Authentication: New Techniques and Insights on User AcceptancePatricia Arias Cabarcos, Thilo Habrich, Karen Becker, Christian Becker et al.USENIX Security 2021 · 34 citations
- CLUES: Cognitive Load Understanding through Experimental Sensing DatasetAna Krstevska, Shivalika Goyal, Linda Fiorini, Francesco Bombassei De Bona et al.UbiComp 2026
