Graphene textiles towards soft wearable interfaces for electroocular remote control of objects

摘要: Study of eye movements (EMs) and measurement the resulting biopotentials, referred to as electrooculography (EOG), may find increasing use in applications within domain activity recognition, context awareness, mobile human-computer interaction (HCI) applications, personalized medicine provided that limitations conventional “wet” electrodes are addressed. To overcome electrodes, this work, reports for first time characterization graphene-based electroconductive textile EOG acquisition using a custom-designed embedded tracker. This self-contained wearable device consists headband with integrated small, pocket-worn, battery-powered hardware real-time signal processing which can stream data remote over Bluetooth. The feasibility developed gel-free, flexible, dry was experimentally authenticated through side-by-side comparison pre-gelled, wet, silver/silver chloride (Ag/AgCl) where simultaneously asynchronous recorded signals displayed correlation up ~87% ~91% respectively durations reaching hundred seconds repeated on several participants. Additionally, an automatic EM detection algorithm is performance graphene-embedded “all-textile” sensor its application control element toward HCI demonstrated. excellent success rate ranging from 85% 100% eleven different patterns demonstrates applicability proposed EOG-based sensing graphene textiles. system-level integration holistic design approach presented herein starts fundamental materials level architecture stage highlighted will be instrumental advance state-of-the-art electronic devices based electrooculograms.