Gesture stroke recognition using computer vision and linear accelerometer

2008 8th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2008

Volumn , Issue , 2008, Pages

  Huang, En Wei ^a   Fu, Li Chen ^a  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

ARM MOTIONS; EMPIRICAL ERRORS; ESTIMATION RESULTS; LINEAR COMBINATIONS; MASS DISTRIBUTION; MODEL COMBINATION; NELDER-MEAD METHODS; ROBUST RECOGNITION; STROKE RECOGNITION; TIME WINDOWS; TRAINING SAMPLE;

ACCELEROMETERS; COMPUTER VISION; FACE RECOGNITION; PROBABILITY DISTRIBUTIONS; WINDOWS;

GESTURE RECOGNITION;

EID: 67650686102     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AFGR.2008.4813355     Document Type: Conference Paper

References (20)

1. V. I. Pavlovic, R. Sharma and T. S. Huang. Visual Interpretation of Hand Gestures for Human-Computer Interaction: A Review. IEEE Transaction on Pattern Analysis and Machine Intelligence, 19(7), 677-695, 1997. (Pubitemid 127762261)
2. G. Rigoll, A. Kosmala and S. Eickeler. High Performance Real-Time Gesture Recognition Using Hidden Markov Models. Lecture Notes in Computer Science, 1998. (Pubitemid 128067877)
3. S. B. Wang, A. Quattoni, L. P. Morency, D. Demirdjian and T. Darrell. Hidden Conditional Random Fields for Gesture Recognition. Proc. IEEE Int. Conference on Computer Vision and Pattern Recognition, 2006.
4. A. Corradini. Dynamic Time Warping for Off-Line Recognition of a Small Gesture Vocabulary. Proc. IEEE ICCV Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems, 2001
5. H. Li and M. Greesspan. Multi-scale gesture recognition from time-varying contours. Proc. IEEE International Conference on Computer Vision, 2005. (Pubitemid 44054964)
6. L. Wang, T. Tan, H. Ning and W. Hu. Silhouette analysis-based gait recognition for human identification. IEEE Transaction on Pattern Analysis and Machine Intelligence, 25(12), 1505-1518, 2003. (Pubitemid 36644516)
7. http://wii.com/
8. D. Vergyri. Integration of Multiple Knowledge Sources in Speech Recognition Using Minimum Error Training. Ph.D. dissertation, Johns Hopkins University, 2000.
9. C. Neti, G. Potamianos, J. Luettin, I. Matthews, H. Glotin, D. Vergyri, J. Sison, A. Mashari, and J. Zhou. Audio-Visual Speech Recognition. Workshop 2000 Final Report, 2000.
10. S. Oviatt, A. DeAngeli, and K. Kuhn. Integration and Synchronization of Input Modes during Multimodal Human Computer Interaction. Proc. of Conference on Human Factors in Computing, 1997.
11. S. B. Wang, and D. Demirdjian. Inferring Body Pose using Speech Content. Proc. of International Conference on Multimodal Interfaces, 2005. (Pubitemid 43218862)
12. H. Glotin, D. Vergyri, C. Neti, G. Potamianos and J. Luettin. Weighting schemes for audio-visual fusion in speech recognition. Proc. of IEEE International Conference on Acoustics, Speech, and Signal Processing. 2001.
13. P. Beyerlein. Discriminative model combination. Proc. of IEEE International Conference on Acoustics, Speech, and Signal Processing. 1998.
14. J. Yang and Y. Xu. Hidden Markov Model for Gesture Recognition. Tech. Report CMU-RI-TR-94-10, 1994
15. D. J. Sturman and D.Zeltzer. A Survey of Glove-Based Input. IEEE Computer Graphics and Applications, 14: 30-39, 1994.
16. F. Lv and R. Nevatia. Single View Human Action Recognition using Key Pose Matching and Viterbi Path Searching. CVPR, 2007. (Pubitemid 47530002)
17. J. A. Nelder, and R. Mead. A Simplex Method for Function Minimization. Computer Journal, 7:308-313, 1965.
18. Y. Nam and K. Y. Wohn. Recognition of Space-Time Hand-Gestures using Hidden Markov Model. Proc. of ACM Symposium on Virtual Reality Software and Technology, 1996.
19. S. Oviatt. Mutual disambiguation of recognition errors in a multimodal architecture. Proc. of Conference on Human Factors in Computing, 1999.
20. R. Poppe. Vision-based human motion analysis: An overview. Computer Vision and Image Understanding, 108(1-2), 4-18. 2006.