Mobile interaction based on eye movement

  • Authors

    • K A. Maheshwari
    • G Radhika
    • K Abirami
    2018-05-29
    https://doi.org/10.14419/ijet.v7i2.31.13409
  • Mobile sensing systems, machine learning, gaze points.
  • Abstract

    In the looking for hithertio-unused strategies by which clients and PCs can convey, we explore the value of eye developments as a quick and helpful correspondence mode. As cell phones develop analysts are examining new strategies to facilitate the human-portable cooperation. The obstruction to misusing this medium has not been eye-following innovation but rather the investigation of cooperation methods that join eye developments into the client PC exchange in a characteristic and unpretentious way. This paper discusses some of the human factors and the possible technical considerations that can arise by using eye movement as input medium.

     

     

  • References

    1. [1] Bulling A, Roggen D & Troster G, “Wearable EOG Goggles: Seamless Sensing and Context-Awareness in Everyday Environmentsâ€, J.Ambient Intelligence and Smart Environments, Vol.1, No.2, (2009).

      [2] Carter S, Churchill E, Denoue L, Helfman J & Nelson L, “Digital graffiti: public annotation ofmultimedia contentâ€, CHI’04 EA, (2004).

      [3] Turner J, Bulling A & Gellersen H, “Combininggaze with manual interaction to extend physical reachâ€, Proc., PETMEI ’11, ACM , (2011).

      [4] Dickie C, “Eyelook: Using Attention to Facilitate Mobile Media Consumptionâ€, Proc. 18Symp. User Interface Software and Technology (UIST 05), ACM Press, (2005).

      [5] Sewell W & Komogortsev O, “Real-Time Eye Gaze tracking with an Unmodified Commodity Web-cam Employing a Neural Networkâ€, Extended Abstracts of the SIGCHI Conf. Human Factors in Computing Systems (CHI 10), (2010).

      [6] Liu J, Zhong L, Wickramasuriya J & Vasudevan V, “uWave Accelerometer Based Personalized Gesture Recognition and its Applicationsâ€, Pervasive and Mobile Computing, Vol.5, No.6, (2009), pp.657-675.

      [7] Karray F, Alemzadeh M, Saleh JA & Arab MN, “Human-Computer Interaction: Overview on State of the Artâ€, International Journal on Smart Sensing and Intelligent Systems, Vol.1, No.1, (2008).

      [8] Li D, Babcock J & Parkhurst DJ, “open Eyes: a Low-Cost Head-Mounted Eye-Tracking Solutionâ€, Symposium on Eye Tracking Research & Applications, (2006).

      [9] HTC.http://www.htc.com/www /product.

      [10] Athira S, Gopal S, Krishna GG, Vasudevan SK & Gowri Krishna GH, “An Innovative and Effective Approach for Sclera Detectionâ€, Indian Journal of Science and Technology, Vol.8, No.19,(2015).

      [11] Senthil Kumar T & Narmatha G, “Suspicious human activity detection in classroom examinationâ€, Proceedings of International Conference on Computational Intelligence, Cyber Security and Computational Models, (2015), pp.99-108.

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  • How to Cite

    A. Maheshwari, K., Radhika, G., & Abirami, K. (2018). Mobile interaction based on eye movement. International Journal of Engineering & Technology, 7(2.31), 110-113. https://doi.org/10.14419/ijet.v7i2.31.13409

    Received date: 2018-05-28

    Accepted date: 2018-05-28

    Published date: 2018-05-29