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

      proceedings-article
      1 , 1 , 1
      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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            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.

            Content

            Author and article information

            Contributors
            Conference
            July 2018
            July 2018
            : 1-11
            Affiliations
            [0001]Department of Systems and Control Engineering, Faculty of Engineering, University of Malta, Msida, MSD2080, Malta
            Article
            10.14236/ewic/HCI2018.6
            cf94bce1-2dc8-4fed-87a8-53c14a344cf1
            © 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
            History
            Product

            1477-9358 BCS Learning & Development

            Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/HCI2018.6
            Self URI (journal page): https://ewic.bcs.org/
            Categories
            Electronic Workshops in Computing

            Applied computer science,Computer science,Security & Cryptology,Graphics & Multimedia design,General computer science,Human-computer-interaction
            Electrooculography,human-computer interaction,wearable technology,virtual keyboard,mobile computing

            REFERENCES

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            2. 2016 Interfacing with a speller using EOG glasses IEEE International Conference on Systems, Man, and Cybernetics, Budapest 9-12 Oct. 2016 1069 1074 IEEE, Piscataway, NJ

            3. 2018 EOG-Based Eye Movement Detection and Gaze Estimation for an Asynchronous Virtual Keyboard Biomedical Signal Processing and Control (Under Review)

            4. 2006 Pattern Recognition and Machine Learning Springer New York, NY

            5. 2008 It’s in Your Eyes: Towards Context-Awareness and Mobile HCI Using Wearable EOG Goggles Proceedings of the 10th international conference on Ubiquitous computing, Seoul 21-24 Sept. 2008 84 93 ACM, New York, NY

            6. 2009 Wearable EOG Goggles: Seamless Sensing and Context-awareness in Everyday Environments Journal of Ambient Intelligence and Smart Environments 1 2 157 171

            7. 1999 Electrooculography: technical standards and applications Electroencephalography and clinical neurophysiology Supplement, 52 223 240

            8. 2015 Development of an eyewear to measure eye and body movements 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Milan 25-29 Aug. 2015 2267 2270 IEEE, Piscataway, NJ

            9. 2012 An electrooculogram based assistive communication system with improved speed and accuracy using multi-directional eye movements 35th International Conference on Telecommunications and Signal Processing, Prague 3-4 July 2012 554 558 IEEE, Piscataway, NJ

            10. 2012 Directional eye movement detection system for virtual keyboard controller 5th Biomedical Engineering International Conference, Ubon Ratchathani 5-7 Dec. 2012 1 5 IEEE, Piscataway, NJ

            11. 2010 Design of a novel efficient human-computer interface: An electrooculogram based virtual keyboard IEEE Transactions on Instrumentation and Measurement 59 8 2099 2108

            12. 2005 Wireless Head Cap for EOG and Facial EMG Measurements Proceedings of the 27th Annual International Conference of the Engineering in Medicine and Biology Society, Shanghai 1-4 Sept. 2005 5865 5868 IEEE, Piscataway, NJ

            13. 2006 Development of EOG-Based Communication System Controlled by Eight-Directional Eye Movements International Conference of the IEEE Engineering in Medicine and Biology Society, New York 30 Aug.-3 Sept. 2006 2574 2577 IEEE, Piscataway, NJ

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