Abstract
Pen gestures are a promising feature of pen-based user interface. Recently, as the supply of pen-based portable computers such as PDAs has increased, so has the usage of them. But they have not yet been fully exploited. In this paper we proposed a new gesture set which consists of eight gestures for editing electronic ink data and a feature-based recognition algorithm to identify gestures. We implemented GesEdit, the gesture-allowed ink editor on PDAs, to verify the proposed algorithm. A variety of experiments involving twenty users showed that the gesture recognition rate reached 99.6%. In addition, they showed that the algorithm was efficient as much portable devices as desktop computers.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Aref, W., Barbara, B.: Supporting Electronic Ink Database. Information Systems 24, 303–326 (1999)
Lopresti, D., Ma, M.Y., Wang, P.S.P., Crisman, J.D.: Ink Matching of Cursive Chinese Handwritten Annotations. International Journal of Pattern Recognition and Artificial Intelligence 12, 119–141 (1998)
Lopresti, D.P.: Ink as Multimedia Data. In: Proceedings of the Fourth International Conference on Informaion, Systems, Analysis and Synthesis, pp. 122–128 (1998)
Hong, J.I., Landay, J.A.: SATIN: A Toolkit for informal ink-based applications. CHI Letters: UIST 2(2), 63–72 (2000)
Burnett, M.M., Gottfried, H.J.: Graphical definitions: expanding spreadsheet languages through direct manipulation and gestures. ACM Tansactions on Computer-Human Interaction 5(1), 1–33 (1998)
Long, A.C.: Improving Gestures and Interaction Techniques for Pen-Based User Interfaces. In: ACM CHI 1998, pp. 58–59 (1998)
Christian, A.: Quill: A Gesture Design Tool for Pen-Based User Interfaces, Ph.D Thesis, University of California, Berkeley (2001)
Avraham, D., et al.: Guided Gesture Support in the Paper PDAs. In: ACM UIST 2001, pp. 197–198 (2001)
Damm, C.H., Hansen, K.M., Thomsen, M.: Tool support for cooperative object-oriented design: Gesture based modeling on an electronic whiteboard. CHI Letters: Human Factors in Computing Systems 2(1), 518–525 (2000)
Rubine, D.: Specifying gestures by example. ACM SIGGRAPH 25, 329–337 (1991)
Lipcomb, J.: A trainable gesture recognizer. Pattern Recognition 24(9), 895–907 (1991)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Cho, M.G., Oh, A.S., Lee, B.K. (2004). A Feature-Based Algorithm for Recognizing Gestures on Portable Computers. In: Laganá, A., Gavrilova, M.L., Kumar, V., Mun, Y., Tan, C.J.K., Gervasi, O. (eds) Computational Science and Its Applications – ICCSA 2004. ICCSA 2004. Lecture Notes in Computer Science, vol 3043. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24707-4_5
Download citation
DOI: https://doi.org/10.1007/978-3-540-24707-4_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22054-1
Online ISBN: 978-3-540-24707-4
eBook Packages: Springer Book Archive