A Novel Approach for Device Independent Gesture Recognition

Abstract

In this poster we present a novel approach for a device independent gesture recognition system. Our system is trained by an arbitrary gesture device and recognises dynamic hand gestures. Input is recorded by a vision system, accelerometers or a pen-based device. Training the system with one device then allows applying the recognition mechanism to the other devices as well.

@inproceedings{Wilhelm2009,
author = {Wilhelm, Mathias and Roscher, Dirk and Blumendorf, Marco and Albayrak, Sahin},
affiliation = {DAI-Labor, TU Berlin, Ernst-Reuter-Platz 7, 10587 Berlin, Germany},
title = {A Novel Approach for Device Independent Gesture Recognition},
booktitle = {Haptic and Audio Interaction Design},
series = {Lecture Notes in Computer Science},
editor = {Altinsoy, M. Ercan and Jekosch, Ute and Brewster, Stephen},
publisher = {Springer Berlin / Heidelberg},
isbn = {978-3-642-04075-7},
location = {Dresden, Germany},
numpages = {2},
volume = {5763},
url = {http://dx.doi.org/10.1007/978-3-642-04076-4},
year = {2009},
keywords = {device independence, gesture recognition, multimodality}
}

Autoren:

Mathias Wilhelm, Marco Blumendorf, Dirk Roscher, Sahin Albayrak

Kategorie:

Poster Paper

Jahr:

2009

Ort:

HAID2009: Proceedings of the fourth International Workshop on Haptic and Audio Interaction Design 2009. Vol. 2, Dresden, Germany