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      Comparative Performance Analysis of a Commercial Wearable EOG Glasses for an Asynchronous Virtual Keyboard

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      Proceedings of the 32nd International BCS Human Computer Interaction Conference (HCI)

      Human Computer Interaction Conference

      4 - 6 July 2018

      Electrooculography, wearable technology, mobile computing, human-computer interaction, virtual keyboard

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          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Conventional electrooculography (EOG) signal acquisition systems, apart from requiring expensive equipment, necessitate electrode gel for conductivity and electrode wires, which may obstruct the field of view and restrict user movements, thus making the setup itself impractical for regular use. Recently however, a cheaper, wireless, gel-free, sleek and wearable alternative EOG recording device, inconspicuously incorporating dry electrodes mounted on an ordinary-looking pair of glasses, has been made commercially available. This work compares this device, known as the JINS MEME EOG glasses, against a gold-standard conventional gel-based EOG setup. Specifically, while gaze displacement estimation errors of 1.32±0.26° (and 1.67±0.26°) in the horizontal (and vertical) directions were obtained using the conventional setup, the corresponding errors obtained using the JINS MEME were 1.97±0.34° (and 1.85±0.30°). Saccades and blinks were also found to be reliably detected and labelled using these two EOG recording modalities, with average labelling accuracies exceeding 99%. The two modalities were also compared when used in real-time to interface with an asynchronous EOG-based virtual keyboard having a QWERTY layout. Specifically, average writing speeds across subjects of 11.9±4.4 and 9.9±3.6 characters per minute were obtained using the conventional EOG setup and the JINS MEME respectively, which have been shown to improve substantially with user experience with the system. These results have demonstrated that the JINS MEME offers a feasible wearable alternative to the conventional EOG setup, which is more practical for eye movement-based applications.

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          Most cited references 10

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          Wearable EOG Goggles: Seamless Sensing and Context-awareness in Everyday Environments

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            Development of an eyewear to measure eye and body movements

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              Design of a novel efficient human-computer interface: An electrooculogram based virtual keyboard

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                Author and article information

                Affiliations
                Department of Systems and Control Engineering, Faculty of Engineering, University of Malta, Msida, MSD2080, Malta
                Contributors
                Conference
                July 2018
                July 2018
                : 1-11
                10.14236/ewic/HCI2018.6
                © Barbara et al. Published by BCS Learning and Development Ltd. Proceedings of British HCI 2018. Belfast, UK.

                This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                Proceedings of the 32nd International BCS Human Computer Interaction Conference
                HCI
                32
                Belfast, UK
                4 - 6 July 2018
                Electronic Workshops in Computing (eWiC)
                Human Computer Interaction Conference

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