Declarative Gesture Spotting using Inferred and Refined Control Points

Lode Hoste, Brecht De Rooms, Beat Signer

2013

Abstract

We propose a novel gesture spotting approach that offers a comprehensible representation of automatically inferred spatiotemporal constraints. These constraints can be defined between a number of characteristic control points which are automatically inferred from a single gesture sample. In contrast to existing solutions which are limited in time, our gesture spotting approach offers automated reasoning over a complete motion trajectory. Last but not least, we offer gesture developers full control over the gesture spotting task and enable them to refine the spotting process without major programming efforts.

References

  1. Alon, J., Athitsos, V., Yuan, Q., and Sclaroff, S. (2009). A Unified Framework for Gesture Recognition and Spatiotemporal Gesture Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(9).
  2. Cham, T.-J. and Cipolla, R. (1999). Automated B-Spline Curve Representation Incorporating MDL and ErrorMinimizing Control Point Insertion Strategies. IEEE Transactions on Pattern Analysis and Machine Intelligence, 21(1).
  3. Darrell, T. and Pentland, A. (1993). Space-Time Gestures. In Proceedings of CVPR 1993, New York, USA.
  4. Elmezain, M., Al-Hamadi, A., and Michaelis, B. (2009). Hand Gesture Spotting Based on 3D Dynamic Features Using Hidden Markov Models. Signal Processing, Image Processing and Pattern Recognition, 61.
  5. Forgy, C. L. (1982). Rete: A Fast Algorithm for the Many Pattern/Many Object Pattern Match Problem. Artificial Intelligence, 19(1).
  6. Holden, E.-J., Lee, G., and Owens, R. (2005). Australian Sign Language Recognition. Machine Vision and Applications, 16.
  7. Holz, C. and Feiner, S. (2009). Relaxed Selection Techniques for Querying Time-Series Graphs. In Proceedings of UIST 2009, Victoria, Canada.
  8. Just, A. (2006). Two-Handed Gestures for HumanComputer Interaction. PhD thesis, Ócole Polytechnique Fédérale de Lausanne. Diss No. 3683.
  9. Kadous, M. W. (1999). Learning Comprehensible Descriptions of Multivariate Time Series. In Proceedings of ICML 1999, Bled, Slovenia.
  10. Kelly, D., McDonald, J., and Markham, C. (2011). Recognition of Spatiotemporal Gestures in Sign Language Using Gesture Threshold HMMs. Machine Learning for Vision-Based Motion Analysis.
  11. Lee, H.-K. and Kim, J. H. (1999). An HMM-based Threshold Model Approach for Gesture Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 21(10).
  12. Pittman, J. A. (1991). Recognizing Handwritten Text. In Proceedings of CHI 1991, New Orleans, USA.
  13. Rubine, D. (1991). Specifying Gestures by Example. In Proceedings of SIGGRAPH 1991, Las Vegas, USA.
  14. Scholliers, C., Hoste, L., Signer, B., and Meuter, W. D. (2011). Midas: A Declarative Multi-Touch Interaction Framework. In Proceedings of TEI 2011, Funchal, Portugal.
  15. Wilson, A. D. and Bobick, A. F. (1999). Parametric Hidden Markov Models for Gesture Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 21(9).
  16. Wobbrock, J. O., Wilson, A. D., and Li, Y. (2007). Gestures Without Libraries, Toolkits or Training: A $1 Recognizer for User Interface Prototypes. In Proceedings of UIST 2007, Newport, USA.
Download


Paper Citation


in Harvard Style

Hoste L., De Rooms B. and Signer B. (2013). Declarative Gesture Spotting using Inferred and Refined Control Points . In Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-8565-41-9, pages 144-150. DOI: 10.5220/0004238301440150


in Bibtex Style

@conference{icpram13,
author={Lode Hoste and Brecht De Rooms and Beat Signer},
title={Declarative Gesture Spotting using Inferred and Refined Control Points},
booktitle={Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2013},
pages={144-150},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004238301440150},
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 - Declarative Gesture Spotting using Inferred and Refined Control Points
SN - 978-989-8565-41-9
AU - Hoste L.
AU - De Rooms B.
AU - Signer B.
PY - 2013
SP - 144
EP - 150
DO - 10.5220/0004238301440150