Graphene-coated wearable textiles for EOG-based human-computer interaction

Jedari Golparvar, Ata and Yapıcı, Murat Kaya (2018) Graphene-coated wearable textiles for EOG-based human-computer interaction. In: IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks (BSN 2018), Las Vegas, NV, USA

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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 gelbased electrodes limit wearability and portability which hinder the 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 the development of HCI applications.
Item Type: Papers in Conference Proceedings
Uncontrolled Keywords: Activity recognition; Clock; Digital; E-health; E-textile; Electrode; Electrooculography (EOG); Eye blink; Flexible; Graphene; Human-computer interaction (HCI); Long-term monitoring; M-health; Motor paralysis; Smart fabric; Textile; Wearable electronics
Divisions: Faculty of Engineering and Natural Sciences > Academic programs > Electronics
Faculty of Engineering and Natural Sciences
Depositing User: Murat Kaya Yapıcı
Date Deposited: 14 Aug 2018 12:00
Last Modified: 30 May 2023 11:34

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