A Directional Stroke Recognition Technique for Mobile Interaction in a Pervasive Computing World

  • Vassilis Kostakos
  • Eamonn O’Neill
Conference paper

DOI: 10.1007/978-1-4471-3754-2_12

Cite this paper as:
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

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.

Keywords

stroke recognition gestural interfaces pervasive computing ubiquitous computing mobile interaction 

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Copyright information

© Springer-Verlag London 2004

Authors and Affiliations

  • Vassilis Kostakos
    • 1
  • Eamonn O’Neill
    • 1
  1. 1.Department of Computer ScienceUniversity of BathBathUK