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2022 | OriginalPaper | Chapter

Learning a Head-Tracking Pointing Interface

Authors : Muratcan Cicek, Roberto Manduchi

Published in: Computers Helping People with Special Needs

Publisher: Springer International Publishing

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Abstract

For people with poor upper limb mobility or control, interaction with a computer may be facilitated by adaptive and alternative interfaces. Visual head tracking has proven to be a viable pointing interface, which can be used when use of the mouse or trackpad is challenging. We are interested in new mechanisms to map the user’s head motion to a pointer location on the screen. Towards this goal, we collected a data set of videos of participants as they were moving their head while following the motion of a marker on the screen. This data set could be used to training a machine learning system for pointing interface. We believe that by learning on real examples, this system may provide a more natural and satisfactory interface than current systems based on pre-defined algorithms.

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Metadata
Title
Learning a Head-Tracking Pointing Interface
Authors
Muratcan Cicek
Roberto Manduchi
Copyright Year
2022
DOI
https://doi.org/10.1007/978-3-031-08648-9_46