Abstract
This paper presents a common gestural interface to mobile and pervasive computing devices. We report our development of a novel technique for recognizing input strokes on a range of mobile and pervasive devices, ranging from small devices with low processing capabilities and limited input area to computers with wall-sized displays and an input area as large as can be accommodated by motion-sensing technologies such as cameras. Recent work has included implementing and testing our stroke recognition technique and associated object-tracking by camera. Ongoing and future work includes optimizing our stroke recognition and camera-based object-tracking techniques, developing input based on human body tracking and running extended usability evaluations.
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Kostakos, V., O’Neill, E. (2004). A Directional Stroke Recognition Technique for Mobile Interaction in a Pervasive Computing World. In: O’Neill, E., Palanque, P., Johnson, P. (eds) People and Computers XVII — Designing for Society. Springer, London. https://doi.org/10.1007/978-1-4471-3754-2_12
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DOI: https://doi.org/10.1007/978-1-4471-3754-2_12
Publisher Name: Springer, London
Print ISBN: 978-1-85233-766-7
Online ISBN: 978-1-4471-3754-2
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