Graphene-Coated Wearable Textiles for EOG-Based Human-Computer Interaction

Abstract

Electrooculography (EOG) is a well-known approach to analyze eye movement features. Applications of EOG can be found in various areas including medical diagnosis, neurosciences, control systems, sensors and interfaces for human-computer interaction (HCI). However, standard gel-based electrodes limit wearability and portability which hinder development of long-term EOG monitoring applications. To overcome these limitations, we have employed graphene-coated fabric electrodes as suitable alternatives for the currently used silver/silver chloride (Ag/AgCl) "wet" electrodes. Proof of the concept is provided by side by side comparison of conventional electrodes and fabric electrodes in automatic blink detection with sequential multi-step thresholding algorithm. Additionally, the EOG biopotentials are converted into real-time digital signals which could be used as clock signals to facilitate development of HCI applications.