Principal component analysis of temporal and spatial information for human gait recognition

  title={Principal component analysis of temporal and spatial information for human gait recognition},
  author={Sovan Das and Maciej Lazarewicz and L H Finkel},
  journal={The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society},
Principal component analysis was applied to human gait patterns to investigate the role and relative importance of temporal versus spatial features. Datasets consisted of various limb and body angles sampled over increasingly long time intervals. We find that spatial and temporal cues may be useful for different aspects of recognition. Temporal cues contain information that can distinguish the phase of the gait cycle; spatial cues are useful for distinguishing running from walking. PCA and… CONTINUE READING

From This Paper

Figures and tables from this paper.
10 Citations
16 References
Similar Papers


Publications citing this paper.
Showing 1-10 of 10 extracted citations


Publications referenced by this paper.
Showing 1-10 of 16 references

Bayesian and Statistical Approaches to Vision

  • D. Knill, W. T. Friedman, W. S. Geisler
  • J. Opt. Soc. Am., vol. 20, no. 7, pp. 1232-1233…
  • 2003
1 Excerpt

Cortical integration of bottom-up, top-down and horizontal information in biological motion recognition

  • S. Das, L. H. Finkel
  • The 1st Intl IEEE EMBS Conference on Neural…
  • 2003
1 Excerpt

Event signatures in biological motion detection

  • M. T. Lazarewicz, S. R. Das, L. H. Finkel
  • Proc. Soc. Neurosci., New Orleans, 2003.
  • 2003
1 Excerpt

Similar Papers

Loading similar papers…