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Gesture recognition in flow based on PCA and using multiagent system

Authors:

Ronan Billon,

Alexis Nédélec,

Jacques TisseauAuthors Info & Claims

VRST '08: Proceedings of the 2008 ACM symposium on Virtual reality software and technology

Pages 239 - 240

https://doi.org/10.1145/1450579.1450632

Published: 27 October 2008 Publication History

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Abstract

In our context of Virtual Theater, a virtual actor performs with a real actor. They communicate through movements and choreography. The system has to interpret the real actor's gesture into a symbolic representation. Therefore, we present a method for real-time recognition. We use properties from Principal Component Analysis (PCA) to create signature for each gesture and a multiagent system to perform the recognition.

References

[1]

Aubry, M., Julliard, F., and Gibet, S., 2008. Apprentissage des paramètres d'un contrôleur pour la synthèse de mouvements réalistes. Journées l'Aber Wrac'h des 29 et 30 mai 2008, Jun.

Google Scholar

[2]

Berndt, D. J., and Clifford, J. 1996. Finding patterns in time series: a dynamic programming approach. 229--248.

Digital Library

Google Scholar

[3]

Bobick, A., and Wilson, A. 1995. A state-based technique for the summarization and recognition of gesture. iccv 00, 382.

Digital Library

Google Scholar

[4]

Campbell, L. W.; Bobick, A. 1995. Recognition of human body motion using phase space constraints. Computer Vision, 1995. Proceedings., Fifth International Conference on, 624--630.

Digital Library

Google Scholar

[5]

Forbes, K., and Fiume, E. 2005. An efficient search algorithm for motion data using weighted pca. In SCA '05: Proceedings of the 2005 ACM SIGGRAPH/Eurographics symposium on Computer animation, ACM, New York, NY, USA, 67--76.

Digital Library

Google Scholar

[6]

Kim, D., Song, J., and Kim, D. 2007. Simultaneous gesture segmentation and recognition based on forward spotting accumulative hmms. Pattern Recogn. 40, 11, 3012--3026.

Digital Library

Google Scholar

[7]

Vasilescu, M. A. O. 2002. Human motion signatures: Analysis, synthesis, recognition. In ICPR '02: Proceedings of the 16th International Conference on Pattern Recognition (ICPR'02) Volume 3, IEEE Computer Society, Washington, DC, USA, 30456.

Digital Library

Google Scholar

[8]

Zhou, H., and Hu, H., 2004. A survey - human movement tracking and stroke rehabilitation. Technical Report: CSM-420.

Google Scholar

Cited By

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Żelawski MHachaj T(2021)The application of topological data analysis to human motion recognitionTechnical Transactions10.37705/TechTrans/e2021011(1-10)Online publication date: 18-Aug-2021
https://doi.org/10.37705/TechTrans/e2021011
Hachaj T(2019)Improving Human Motion Classification by Applying Bagging and Symmetry to PCA-Based FeaturesSymmetry10.3390/sym1110126411:10(1264)Online publication date: 10-Oct-2019
https://doi.org/10.3390/sym11101264
Hachaj TPiekarczyk M(2019)Evaluation of Pattern Recognition Methods for Head Gesture-Based Interface of a Virtual Reality Helmet Equipped with a Single IMU SensorSensors10.3390/s1924540819:24(5408)Online publication date: 8-Dec-2019
https://doi.org/10.3390/s19245408
Show More Cited By

Index Terms

Gesture recognition in flow based on PCA and using multiagent system
1. Computing methodologies
  1. Machine learning
2. Human-centered computing
  1. Human computer interaction (HCI)

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Information & Contributors

Information

Published In

VRST '08: Proceedings of the 2008 ACM symposium on Virtual reality software and technology

October 2008

288 pages

ISBN:9781595939517

DOI:10.1145/1450579

Conference Chairs:
Steven Feiner
Columbia University
,
Daniel Thalmann
Ecole Polytechnique Fédérale de Lausanne
,
Pascal Guitton
Université de Bordeaux
,
Program Chairs:
Bernd Fröhlich
Bauhaus-Univ. Weimar
,
Ernst Kruijff
TU Graz
,
Martin Hachet
INRIA

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 October 2008

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VRST08

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VRST08: The ACM Symposium on Virtual Reality Software and Technology

October 27 - 29, 2008

Bordeaux, France

Acceptance Rates

VRST '08 Paper Acceptance Rate 12 of 68 submissions, 18%;

Overall Acceptance Rate 66 of 254 submissions, 26%

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Cited By

View all

Żelawski MHachaj T(2021)The application of topological data analysis to human motion recognitionTechnical Transactions10.37705/TechTrans/e2021011(1-10)Online publication date: 18-Aug-2021
https://doi.org/10.37705/TechTrans/e2021011
Hachaj T(2019)Improving Human Motion Classification by Applying Bagging and Symmetry to PCA-Based FeaturesSymmetry10.3390/sym1110126411:10(1264)Online publication date: 10-Oct-2019
https://doi.org/10.3390/sym11101264
Hachaj TPiekarczyk M(2019)Evaluation of Pattern Recognition Methods for Head Gesture-Based Interface of a Virtual Reality Helmet Equipped with a Single IMU SensorSensors10.3390/s1924540819:24(5408)Online publication date: 8-Dec-2019
https://doi.org/10.3390/s19245408
Zhang LYap B(2012)Affect detection from text-based virtual improvisation and emotional gesture recognitionAdvances in Human-Computer Interaction10.1155/2012/4612472012(24-24)Online publication date: 1-Jan-2012
https://dl.acm.org/doi/10.1155/2012/461247
Deng LLeung HGu NYang Y(2010)Recognizing Dance Motions with Segmental SVDProceedings of the 2010 20th International Conference on Pattern Recognition10.1109/ICPR.2010.380(1537-1540)Online publication date: 23-Aug-2010
https://dl.acm.org/doi/10.1109/ICPR.2010.380

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Gesture recognition in flow based on PCA analysis using multiagent system

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