BibTex
@inproceedings{Cao:2005:,
author = {Cao, Xiang and Balakrishnan, Ravin},
title = {Evaluation of an on-line adaptive gesture interface with command prediction},
booktitle = {Proceedings of Graphics Interface 2005},
series = {GI 2005},
year = {2005},
issn = {0713-5424},
isbn = {1-56881-265-5},
location = {Victoria, British Columbia, Canada},
pages = {187--194},
numpages = {8},
publisher = {Canadian Human-Computer Communications Society},
address = {School of Computer Science, University of Waterloo, Waterloo, Ontario, Canada},
}
Abstract
We present an evaluation of a hybrid gesture interface framework that combines on-line adaptive gesture recognition with a command predictor. Machine learning techniques enable on-line adaptation to differences in users' input patterns when making gestures, and exploit regularities in command sequences to improve recognition performance. A prototype using 2D single-stroke gestures was implemented with a minimally intrusive user interface for on-line re-training. Results of a controlled user experiment show that the hybrid adaptive system significantly improved overall gesture recognition performance, and reduced users' need to practice making the gestures before achieving good results.