In: ACM International Symposium on Wearable Computers. ACM International Symposium on Wearable Computers (ISWC-2021) September 21-26 ACM 2021.
Abstract
We aim to facilitate broad use of EEG sensing in multi-modal smart garments by developing an open-source EEG sensing module with the state-of-the-art analog front-end that is pin/protocol-compatible with popular ecosystems in the wearable and DIY community. The EEG functionality is validated with the neuroscience standard n-back memory load task. We also demonstrate the seamless integration of EEG electrodes with low-frequency Force Sensitive Resistors (FSR) and high-frequency piezoelectric sensors within a single probe. Finally, we show the embedding of the entire setup in a textile baseball cap. We also present how signals from the different modalities complement each other under situations such as motion artifacts and different activities from an unobtrusive head-worn garment. The system is available to the community through a public GitHub repository.
@inproceedings{pub12088,
author = {
Vargas Colorado, Juan Felipe
and
Zhou, Bo
and
Bello, Hymalai
and
Lukowicz, Paul
},
title = {Brainwear: Towards Multi-modal Garment Integrated EEG},
booktitle = {ACM International Symposium on Wearable Computers. ACM International Symposium on Wearable Computers (ISWC-2021), September 21-26},
year = {2021},
publisher = {ACM}
}
German Research Center for Artificial Intelligence Deutsches Forschungszentrum für Künstliche Intelligenz
