Human gesture recognition using Kinect camera

JCSSE 2012 - 9th International Joint Conference on Computer Science and Software Engineering

Volumn , Issue , 2012, Pages 28-32

  Patsadu, Orasa ^a   Nukoolkit, Chakarida ^a   Watanapa, Bunthit ^a  

^a KING MONGKUT'S UNIVERSITY OF TECHNOLOGY THONBURI   (Thailand)

Author keywords

Body Joint Positions; Classification Methods; Human Gesture Recognition; Kinect Camera; Video Streaming

Indexed keywords

BACK PROPAGATION NEURAL NETWORKS; BODY-JOINT POSITIONS; CLASSIFICATION METHODS; COMPARISON STUDY; HIGH POTENTIAL; HUMAN BODIES; MINING CLASSIFICATION; NAIVE BAYES; SMART-HOME SYSTEM;

AUTOMATION; CAMERAS; DECISION TREES; GESTURE RECOGNITION; INTELLIGENT BUILDINGS; NEURAL NETWORKS; TIME SERIES ANALYSIS; VIDEO STREAMING;

SOFTWARE ENGINEERING;

EID: 84866382226     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/JCSSE.2012.6261920     Document Type: Conference Paper

References (17)

1. Mohamed Bécha KAÂ NICHE, "Human Gesture Recognition", Thesis (PhD), Université de Nice - Sophia Antipolis - UFR Sciences, October, 2009.
2. Microsoft Corporation, "Kinect for Xbox 360-Xbox.com", [Online]. Available: http://www.xbox.com/en-GB/kinect/, [2011, May 12].
3. Chen Wu and Hamid Aghajan, "Model-based Human Posture Estimation for Gesture Analysis in an Opportunistic Fusion Smart Camera Network", Proceedings of International Conference on Advanced Video and Signal Based Surveillance, pp. 453-458, 2007.
4. D. M. Gavrila and L. S. Davis, "Towards 3-D Model-Based Tracking and Recognition of Human Movement: a Multi-View Approach", International Workshop on Automatic Face- and Gesture-Recognition", pp.272-277, 1995.
5. Jiahui Wu, Gang Pan, Daqing Zhang, Guande Qi, and Shijian Li, "Gesture Recognition with a 3-D Accelerometer", Proceedings of the 6th International Conference on Ubiquitous Intelligence and Computing, pp. 25-38, 2009.
6. Isaac Cohen, Hongxia Li, "Inference of Human Postures by Classification of 3D Human Body Shape", International Workshop on Analysis and Modeling of Faces and Gestures, pp. 74-81, 2003.
7. Hao-Cheng Mo, Jin-Jang Leou, and Cheng-Shian Lin, "Human Behavior Analysis Using Multiple 2D Features and Multicategory Support Vector Machine", Proceedings of the International MVA2009 IAPR Conference on Machine Vision Applications, May 20-22, pp.46-49, 2009.
8. Haiyong Zhao and Zhijing Liu, "Human Action Recognition Based on Non-linear SVM Decision Tree", Journal of Computational Information Systems, pp.2461-2468, 2011.
9. Z. Cěrneková, N. Nikolaidis and I. Pitas, "Single Camera Pointing Gesture Recognition using Spatial Features and Support Vector Machines", Proceedings of the 15th European Signal Processing Conference (EUSIPCO-2007), pp.130-134, 2007.
10. Andrea Corradini, Hans-Joachim Boehme, Horst-Michael Gross, "Visual-based Posture Recognition using Hybrid Neural Networks", Proceedings of European Symposium on Artificial Neural Networks Bruges (Belgium) (ESANN'1999), 21-23 April, pp.81-86, 1999.
11. Maleeha Kiran, Chee Seng Chan, Weng Kin Lai, Kyaw Kyaw Hitke Ali, and Othman Khalifa, "A Comparison of Posture Recognition using Supervised and Unsupervised Learning Algorithms", Proceedings of International Conference on Computer and Communication Engineering (ICCCE), pp.1-6, 2010.
12. Michalis Raptis, Darko Kirovski, Hugues Hoppe, "Real-Time Classification of Dance Gestures from Skeleton Animation", Proceedings of the 2011 ACM SIGGRAPH/Eurographics Symposium on Computer Animation, 2011.
13. Luai Al Shalabi, Zyad Shaaban and Basel Kasasbeh, "Data Mining: A Preprocessing Engine", Journal of Computer Science 2 (9): pp.735-739, 2006.
14. KNIME, "KNIME - Professional Open-Source Software", [Online]. Available: http://www.knime.org, [2011, September 20].
15. Jiawei Han and Micheline Kamber, "Data Mining Concepts and Techniques", Morgan Kaufmann Publishers, Second Edition, 2006.
16. Simon Haykin, "Neural Networks and Learning Machines", Prentice Hall, Third Edition, 2008.
17. Nello Cristianini and John Shawe-Taylor, "An Introduction to Support Vector Machines and Other Kernel-based Learning Methods", Cambridge University Press, First Edition, 2000.