Rule-based Hand Posture Recognition using Qualitative Finger Configurations Acquired with the Kinect

Lieven Billiet, Jose Oramas, McElory Hoffmann, Wannes Meert, Laura Antanas

2013

Abstract

Gesture recognition systems exhibit failures when faced with large hand posture vocabularies or relatively new hand poses. One main reason is that 2D and 3D appearance-based approaches require significant amounts of training data. We address this problem by introducing a new 2D model-based approach to recognize hand postures. The model captures a high-level rule-based representation of the hand expressed in terms of finger poses and their qualitative configuration. The available 3D information is used to first segment the hand. We evaluate our approach on a Kinect dataset and report superior results while using less training data when comparing to state-of-the-art 3D SURF descriptor.

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Paper Citation


in Harvard Style

Billiet L., Oramas J., Hoffmann M., Meert W. and Antanas L. (2013). Rule-based Hand Posture Recognition using Qualitative Finger Configurations Acquired with the Kinect . In Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-8565-41-9, pages 539-542. DOI: 10.5220/0004230805390542


in Bibtex Style

@conference{icpram13,
author={Lieven Billiet and Jose Oramas and McElory Hoffmann and Wannes Meert and Laura Antanas},
title={Rule-based Hand Posture Recognition using Qualitative Finger Configurations Acquired with the Kinect},
booktitle={Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2013},
pages={539-542},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004230805390542},
isbn={978-989-8565-41-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Rule-based Hand Posture Recognition using Qualitative Finger Configurations Acquired with the Kinect
SN - 978-989-8565-41-9
AU - Billiet L.
AU - Oramas J.
AU - Hoffmann M.
AU - Meert W.
AU - Antanas L.
PY - 2013
SP - 539
EP - 542
DO - 10.5220/0004230805390542