Online Dynamic Gesture Recognition for Human Robot Interaction

Journal of Intelligent and Robotic Systems: Theory and Applications

Volumn 77, Issue 3-4, 2015, Pages 583-596

  Xu, Dan ^a,b   Wu, Xinyu ^a,b   Chen, Yen Lun ^a   Xu, Yangsheng ^b  

^a SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY   (China)

^b CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Dynamic gesture spotting; Hand gesture recognition; Human robot interaction

Indexed keywords

AGRICULTURAL ROBOTS; HUMAN ROBOT INTERACTION; MAN MACHINE SYSTEMS; PALMPRINT RECOGNITION; SOCIAL ROBOTS; TOPOLOGY;

BACKGROUND SUBTRACTION; DYNAMIC ENVIRONMENTS; EXPERIMENTAL EVALUATION; GESTURE SPOTTING; HAND-GESTURE RECOGNITION; INTERACTIVE SYSTEM; MODEL-BASED METHOD; ROBUST HAND TRACKING;

GESTURE RECOGNITION;

EID: 84924223417     PISSN: 09210296     EISSN: 15730409     Source Type: Journal    
DOI: 10.1007/s10846-014-0039-4     Document Type: Article

References (31)

1. Barczak, A., Dadgostar, F.: Real-time hand tracking using a set of cooperative classifiers based on haar-like features. Res. Lett. Inform. Math. Sci. 7, 29–42 (2005)
2. Bengio, Y., Frasconi, P.: Input-output hmms for sequence processing. IEEE Trans. Neural Netw. 7(5), 1231–1249 (1996)
3. Bradski, G.: Computer vision face tracking for use in a perceptual user interface. Intel Technol. J. (1998)
4. Chen, Q., Georganas, N., Petriu, E.: Hand gesture recognition using haar-like features and a stochastic context-free grammar. IEEE Trans. Instrument. Meas. 57(8), 1562–1571 (2008)
5. Cheng, Y.: Mean shift, mode seeking, and clustering. IEEE Trans. Pattern Anal. Mach. Intell. 17(8), 790–799 (1995)
6. Corradini, A.: Dynamic time warping for off-line recognition of a small gesture vocabulary. In: ICCV Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems, pp. 82–89. IEEE (2001)
7. Elmezain, M., Al-Hamadi, A., Appenrodt, J., Michaelis, B.: A hidden markov model-based continuous gesture recognition system for hand motion trajectory. In: Proceedings of International Conference on Pattern Recognition (ICPR), pp. 1–4 (2008)
8. Elmezain, M., Al-Hamadi, A., Sadek, S., Michaelis, B.: Robust methods for hand gesture spotting and recognition using hidden markov models and conditional random fields. In: IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), pp. 131–136. IEEE (2010)
9. Garg, P., Aggarwal, N., Sofat, S.: Vision based hand gesture recognition. World Acad. Sci. Eng. Technol. 49(1), 972–977 (2009)
10. Holte, M.B., Moeslund, T.B., Fihl, P.: View-invariant gesture recognition using 3d optical flow and harmonic motion context. Comput. Vis. Image Understanding 114(12), 1353–1361 (2010)
11. Juang, B.H., Rabiner, L.R.: Hidden markov models for speech recognition. Technometrics 33(3), 251–272 (1991)
12. Keogh, E.J., Pazzani, M.J.: Derivative dynamic time warping. In: The 1st SIAM International Conference on Data Mining (SDM-2001), Chicago (2001)
13. Kurakin, A., Zhang, Z., Liu, Z.: A real time system for dynamic hand gesture recognition with a depth sensor. In: Proceedings of the 20th European Signal Processing Conference (EUSIPCO), pp. 1975–1979. IEEE (2012)
14. Lee, J., Yoo, S.: An elliptical boundary model for skin color detection. In: International Conference on Imaging Science, Systems, and Technology. pp. 572–584 (2002)
15. Maggio, E., Cavallaro, A.: Hybrid particle filter and mean shift tracker with adaptive transition model. In: International Conference on Acoustics, Speech, and Signal Processing. pp. 221–224 (2005)
16. Manders, C., Farbiz, F., Chong, J., Tang, K., Chua, G., Loke, M., Yuan, M.: Robust hand tracking using a skin tone and depth joint probability model. In: The 8th IEEE International Conference on Automatic Face & Gesture Recognition, pp. 1–6. IEEE (2008)
17. Mitra, S., Acharya, T.: Gesture recognition: a survey. IEEE Trans. Syst. Man Cybern. Part C Appl. Rev. 37(3), 311–324 (2007)
18. OpenCvSharp: http://code.google.com/p/opencvsharp/ (2011)
19. Rabiner, L., Juang, B.: An introduction to hidden markov models. ASSP Mag. 3(1), 4–16 (1986)
20. Rabiner, L., Juang, B.: An introduction to hidden markov models. IEEE ASSP Mag. 3(1), 4–16 (1986)
21. Ramamoorthy, A., Vaswani, N., Chaudhury, S., Banerjee, S.: Recognition of dynamic hand gestures. Pattern Recogn. 36(9), 2069–2081 (2003)
22. Ren, Z., Meng, J., Yuan, J., Zhang, Z.: Robust hand gesture recognition with kinect sensor. In: Proceedings of the 19th ACM international conference on Multimedia, pp. 759–760. ACM (2011)
23. Song, Y., Demirdjian, D., Davis, R.: Continuous body and hand gesture recognition for natural human-computer interaction. ACM Trans. Interact. Intell. Syst. (TiiS) 2(1), 5 (2012)
24. Stiefmeier, T., Roggen, D., Tröster, G.: Gestures are strings: efficient online gesture spotting and classification using string matching. In: Proceedings of the ICST 2nd international conference on Body area networks, p. 16. ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering) (2007)
25. Wang, S., Quattoni, A., Morency, L., Demirdjian, D., Darrell, T.: Hidden conditional random fields for gesture recognition. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), vol. 2, pp. 1521–1527. IEEE (2006)
26. Wang, Z., Yang, X., Xu, Y., Yu, S.: Camshift guided particle filter for visual tracking. Pattern Recogn. Lett. 30(4), 407–413 (2009)
27. Wu, Y., Liu, Q., Huang, T.S.: An adaptive self-organizing color segmentation algorithm with application to robust real-time human hand localization. In: Asian Conference on Computer Vision (ACCV), pp. 1106–1111 (2000)
28. Xia, L., Chen, C., Aggarwal, J.: Human detection using depth information by kinect. In: Workshop on Human Activity Understanding from 3D Data in Conjunction with CVPR 2011 (HAU3D) (2011)
29. Xu, J., Wu, Y., Katsaggelos, A.: Part-based initialization for hand tracking. In: The 17th IEEE International Conference on Image Processing (ICIP), pp. 3257–3260. IEEE (2010)
30. Yang, H.D., Park, A.Y., Lee, S.W.: Gesture spotting and recognition for human–robot interaction. IEEE Trans. Robot. 23(2), 256–270 (2007)
31. Yang, J., Lu, W., Waibel, A.: Skin-color modeling and adaptation. Computer Vision-ACCV’98, pp. 687–694 (1997)