Toward the use of gesture in traditional user interfaces

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	Similar Articles Articles by R. Kjeldsen Articles by J. Kender

Second IEEE International Conference on Automatic Face and Gesture Recognition (FG '96)

Killington, Vermont

October 14-October 16

ISBN: 0-8186-7713-9

	ASCII Text	x
	R. Kjeldsen, J. Kender, "Toward the use of gesture in traditional user interfaces," Automatic Face and Gesture Recognition, IEEE International Conference on, pp. 151, Second IEEE International Conference on Automatic Face and Gesture Recognition (FG '96), 1996.

	BibTex	x
	@article{ 10.1109/AFGR.1996.557257, author = {R. Kjeldsen and J. Kender}, title = {Toward the use of gesture in traditional user interfaces}, journal ={Automatic Face and Gesture Recognition, IEEE International Conference on}, volume = {0}, year = {1996}, isbn = {0-8186-7713-9}, pages = {151}, doi = {http://doi.ieeecomputersociety.org/10.1109/AFGR.1996.557257}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Automatic Face and Gesture Recognition, IEEE International Conference on TI - Toward the use of gesture in traditional user interfaces SN - 0-8186-7713-9 SP EP A1 - R. Kjeldsen, A1 - J. Kender, PY - 1996 KW - feature extraction; traditional user interfaces; gesture; visual recognition; hand gestures; neural net; segmented images; office environments; task specific grammar VL - 0 JA - Automatic Face and Gesture Recognition, IEEE International Conference on ER -

R. Kjeldsen, IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA

J. Kender, IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/AFGR.1996.557257

This work describes the design of a functioning user interface based on visual recognition of hand gestures, and details its performance. In the interface, gesture replaces the mouse for many actions including selecting, moving and resizing windows. A camera below the screen observes the user. The hand is segmented from the background using color. Features of the hand's motion are extracted from the sequence of segmented images, and when needed the hand's pose is classified using a neural net. This information is parsed by a task specific grammar. The system runs in real time on standard PC hardware. It has demonstrated its abilities with various users in several different office environments. Having experimented with a functioning gestural interface, the authors discuss the practicality and best applications of this technology.

Index Terms:

feature extraction; traditional user interfaces; gesture; visual recognition; hand gestures; neural net; segmented images; office environments; task specific grammar

Citation:

R. Kjeldsen, J. Kender, "Toward the use of gesture in traditional user interfaces," fg, pp.151, Second IEEE International Conference on Automatic Face and Gesture Recognition (FG '96), 1996

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