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    Intelligent Finger Movement Controlled Inter-face for Automotive Environment

    HCI 2017 - Digital make-believe

    Proceedings of the 31st International BCS Human Computer Interaction Conference (HCI 2017)

    University of Sunderland, St Peter’s campus, Sunderland, UK, 3 - 6 July 2017


    Pradipta Biswas, Samuel Twist & Simon Godsill



    This paper presents an intelligent finger tracking system to operate infotainment systems or instrument panels in automotive environment. We developed algorithms to control an on-screen pointer using off-the-shelf infra-red sensors and reported a user study on pointing and selection tasks undertaken using the finger tracking system. We proposed polynomial models to predict probable targets and a Bayesian Fusion Model to integrate eye gaze locations of users with their finger tracks. The predictive fusion model resulted in less than 2 seconds pointing and selection times on average inside a car running on a motorway.


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