Brainwear: Towards Multi-modal Garment Integrated EEG

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.