Depth camera based hand gesture recognition and its applications in Human-Computer-Interaction

ICICS 2011 - 8th International Conference on Information, Communications and Signal Processing

Volumn , Issue , 2011, Pages

  Ren, Zhou ^a   Meng, Jingjing ^a   Yuan, Junsong ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEX DATA; COMPUTER GAME; DEPTH CAMERA; DISTANCE METRICS; HAND GESTURE; HAND-GESTURE RECOGNITION; HCI SYSTEM; MOVER'S DISTANCE; SHAPE CONTEXTS; SHAPE MATCHING; VISION BASED;

HEALTH CARE; SIGNAL PROCESSING; VIRTUAL REALITY;

GESTURE RECOGNITION;

EID: 84860641847     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICICS.2011.6173545     Document Type: Conference Paper

References (23)

1. Microsoft Corp. Redmond WA. Kinect for Xbox 360.
2. S. Belongie, J. Malik, and J. Puzicha. Shape matching and object recognition using shape contexts. IEEE Trans. on PAMI, 24:509-522, 2002.
3. M. Bray, E. Koller-Meier, and L. V. Gool. Smart particle filtering for 3d hand tracking. In Proc. of Sixth IEEE International Conf. on Face and Gesture Recognition, 2004.
4. Q. Cai, D. Gallup, C. Zhang, and Z. Zhang. 3d deformable face tracking with a commodity depth camera. In Proc. of IEEE ECCV, 2010.
5. C. Chua, H. Guan, and Y. Ho. Model-based 3d hand posture estimation from a single 2d image. Image and Vision Computing, 20:191-202, 2002.
6. G. Dewaele, F. Devernay, and R. Horaud. Hand motion from 3d point trajectories and a smooth surface model. In Proc. of 8th ECCV, 2004.
7. A. Doucet, N. de Freitas, and N. Gordon. Sequential Monte Carlo in Practice. NewYork: Springer-Verlag, 2001.
8. A. Erol, G. Bebis, M. Nicolescu, R. D. Boyle, and X. Twombly. Visionbased hand pose estimation: A review. CVIU, 108:52-73, 2007.
9. E. Foxlin. Motion tracking requirements and technologies. Handbook of Virtual Environment Technology, pages 163-210, 2002.
10. E. Holden. Visual recognition of hand motion. Ph. D thesis, Department of Computer Science, University of Western Australia, 1997.
11. C. Kwok, D. Fox, and M. Meila. Real-time particle filters. In Proc. of IEEE, 2004.
12. H. Lee and J. Kim. An hmm-based threshold model approach for gesture recognition. IEEE Trans. on PAMI, 21:961-973, 1999.
13. D. Lowe. Fitting parameterized three-dimensional models to images. IEEE Trans. on PAMI, 13:441-450, 1991.
14. S. Mitra and T. Acharya. Gesture recognition: A survey. IEEE Trans. on Systems, Man and Cybernetics-Part C: Application and Review, 37:311-324, 2007.
15. Z. Ren, J. Yuan, C. Li, and W. Liu. Minimum near-convex decomposition for robust shape representation. In Proc. of ICCV, 2011.
16. Z. Ren, J. Yuan, and Z. Zhang. Robust hand gesture recognition based on finger-earth movers distance with a commodity depth camera. In Proc. of ACM Multimeida, 2011.
17. N. Shimada, Y. Shirai, Y. Kuno, and J. Miura. Hand gesture estimation and model refinement using monocular camera-ambiguity limitation by inequality constraints. In Proc. of Third IEEE International Conf. on Face and Gesture Recognition, 1998.
18. T. Starner, J. Weaver, and A. Pentland. Real-time american sign language recognition using desk and wearable computer based video. IEEE Trans. on PAMI, 20:1371-1375, 1998.
19. B. Stenger, A. Thayananthan, P. Torr, and R. Cipolla. Filtering using a tree-based estimator. In Proc. of IEEE ICCV, 2003.
20. M.-C. Su. A fuzzy rule-based approach to spatio-temporal hand gesture recognition. IEEE Trans. on Systems, Man and Cybernetics-Part C: Application and Review, 30:276-281, 2000.
21. J. P. Wachs, M. Klsch, H. Stern, and Y. Edan. Vision-based hand-gesture applications. Communications of the ACM, 54:60-71, 2011.
22. A. Wilson and A. Bobick. Parametric hidden markov models for gesture recognition. IEEE Trans. on PAMI, 21:884-900, 1999.
23. M. H. Yang, N. Ahuja, and M. Tabb. Extraction of 2-d motion trajectories and its application to hand gesture recognition. IEEE Trans. on PAMI, 29:1062-1074, 2002.