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Authors: Ulf Großekathöfer 1 ; Amir Sadeghipour 1 ; Thomas Lingner 2 ; Peter Meinicke 2 ; Thomas Hermann 1 and Stefan Kopp 1

Affiliations: 1 Bielefeld University, Germany ; 2 Georg-August-University, Germany

Keyword(s): Ordered means models, Time series prototyping, Time series reproduction.

Related Ontology Subjects/Areas/Topics: Applications ; Classification ; Graphical and Graph-Based Models ; Learning of Action Patterns ; Pattern Recognition ; Software Engineering ; Theory and Methods

Abstract: In human-machine interaction scenarios, low latency recognition and reproduction is crucial for successful communication. For reproduction of general gesture classes it is important to realize a representation that is insensitive with respect to the variation of performer specific speed development along gesture trajectories. Here, we present an approach to learning of speed-invariant gesture models that provide fast recognition and convenient reproduction of gesture trajectories. We evaluate our gesture model with a data set comprising 520 examples for 48 gesture classes. The results indicate that the model is able to learn gestures from few observations with high accuracy.

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Paper citation in several formats:
Großekathöfer, U.; Sadeghipour, A.; Lingner, T.; Meinicke, P.; Hermann, T. and Kopp, S. (2012). LOW LATENCY RECOGNITION AND REPRODUCTION OF NATURAL GESTURE TRAJECTORIES. In Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM; ISBN 978-989-8425-99-7; ISSN 2184-4313, SciTePress, pages 154-161. DOI: 10.5220/0003770901540161

@conference{icpram12,
author={Ulf Großekathöfer. and Amir Sadeghipour. and Thomas Lingner. and Peter Meinicke. and Thomas Hermann. and Stefan Kopp.},
title={LOW LATENCY RECOGNITION AND REPRODUCTION OF NATURAL GESTURE TRAJECTORIES},
booktitle={Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM},
year={2012},
pages={154-161},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003770901540161},
isbn={978-989-8425-99-7},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM
TI - LOW LATENCY RECOGNITION AND REPRODUCTION OF NATURAL GESTURE TRAJECTORIES
SN - 978-989-8425-99-7
IS - 2184-4313
AU - Großekathöfer, U.
AU - Sadeghipour, A.
AU - Lingner, T.
AU - Meinicke, P.
AU - Hermann, T.
AU - Kopp, S.
PY - 2012
SP - 154
EP - 161
DO - 10.5220/0003770901540161
PB - SciTePress

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