Angular features analysis for gait recognition

2005 1st International Conference on Computers, Communications and Signal Processing with Special Track on Biomedical Engineering, CCSP 2005

Volumn , Issue , 2005, Pages 236-238

  Mohd Isa, Wan Noorshahida ^a   Sudirman, Rubita ^b   Sh Salleh, Sheikh Hussain ^b  

^a MULTIMEDIA UNIVERSITY   (Malaysia)

^b UNIVERSITI TEKNOLOGI MALAYSIA   (Malaysia)

Author keywords

Angular kinematics features; Automatic gait recognition; Canonical analysis (CA); Cubic spline interpolation; Support vector machine for regression (SVR); Principal Component Analysis (PCA)

Indexed keywords

ANGULAR DISPLACEMENT; ANGULAR KINEMATICS FEATURES; AUTOMATIC GAIT RECOGNITION; CANONICAL ANALYSIS; CANONICAL ANALYSIS (CA); CUBIC-SPLINE INTERPOLATION; DATA SETS; EXTRACTION PROCEDURE; GAIT RECOGNITION; IDENTIFICATION SYSTEMS; IMAGE FRAMES; LOWER LEG; NON-INVASIVE; RECOGNITION PERFORMANCE; RESAMPLING; TEMPORAL INFORMATION; WALKING SPEED; ZERO-CROSSINGS;

BIOMEDICAL ENGINEERING; BIOMETRICS; GAIT ANALYSIS; IMAGE PROCESSING; IMAGE RETRIEVAL; INTERPOLATION; KINEMATICS; LABELS; REGRESSION ANALYSIS; SIGNAL PROCESSING; SPLINES; SUPPORT VECTOR MACHINES; VIDEO CAMERAS;

PRINCIPAL COMPONENT ANALYSIS;

EID: 69649090084     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCSP.2005.4977197     Document Type: Conference Paper

References (12)

1. M. S. Nixon, J. N. Carter, D. Cunado, P. S. Huang, and S. V. Stevenage, "Automatic Gait Recognition," BIOMETRICS-Personal Identification in Networked Society, A. K. Jain, Eds., Kluwer Academic, 1999.
2. M.P. Murray, "Gait as a total pattern of movement," American Journal of Physical Medicine, vol.46(1), pp. 290-332, 1967.
3. C. Frigo, D. Eng, and L. Tesio, "Speed-dependent variations of lowerlimb joint angles during walking," American Journal of Physical Medicine, vol.65(2), pp. 51-62, 1986. (Pubitemid 16073977)
4. D. Cunado, J. M. Nash, M.S. Nixon, and J. N. Carter, "Gait extraction and description by evidence-gathering.," Proceedings 2nd AVBPA, pp. 43-48, March 1999.
5. C. Y. Yam, "Model-Based Approaches for Recognising People by the Way They Walk or Run," Ph.D. Thesis. School of Electronics and Computer Science, Faculty of Engineering, Science, and Mathematics, University of Southampton, November 2002.
6. S. R. Gunn and J. S. Kandola, "Structural modelling with sparse kernels," Machine Learning, 2001.
7. J. Little and J. Boyd, "Recognizing people by their gait: The shape of motion," Videre: Journal of Computer Vision Research, vol.1(2), Article 1, 1998.
8. J. E. Cutting and D. R. Profitt, "Gait perception as an example of how we perceive events," Intersensory Perception and Sensory Integration, R. D. Walk and H. L. Pick, Eds., London: Plenum Press, 1981.
9. C. D. Barclay, J. E. Cutting, and L. T. Kowzlowski, "Temporal and spatial factors in gait perception that influence gender recognition," Perception and Psychophysics, vol.23, pp 145-152, 1978.
10. G. Mather and L. Murdoch, "Gender discrimination in biological motion displays based on dynamic," Proceedings Royal Soc. London, vol.B(258), pp 273-279, 1994.
11. L. Wang, H. Ning, T. Tan, and W. Hu, "Fusion of static and dynamic body biometrics for gait recognition," Proceedings of the Ninth IEEE International Conference on Computer Vision, 2003.
12. H. M. Lakany, "A generic kinemtic pattern for human walking," Neurocomputing, vol.35, pp.27-54, 2000.