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» Model-driven statistical analysis of human gait motion
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ICIP
2002
IEEE
14 years 6 months ago
Model-driven statistical analysis of human gait motion
We describe a new method for analyzing and extracting human gait motion by combining statistical methods with image processing. The periodic motion of human gait is modeled by tri...
Jang-Hee Yoo, Mark S. Nixon, Chris J. Harris
MVA
2007
106views Computer Vision» more  MVA 2007»
13 years 4 months ago
Feature Extraction from Biological Motion of Human Gait Patterns for Emotion Discrimination
We study a method of a feature extraction to discriminate emotions of human from a sensing data of human gait patterns as ”Biological motion data”. We assume that the high–d...
Hidenori Maruta, Masahiro Ishii
AC
2003
Springer
13 years 10 months ago
Biometric Gait Recognition
Psychological studies indicate that people have a small but statistically significant ability to recognize the gaits of individuals that they know. Recently, there has been much i...
Jeffrey E. Boyd, James J. Little
FGR
2004
IEEE
142views Biometrics» more  FGR 2004»
13 years 8 months ago
On Automated Model-Based Extraction and Analysis of Gait
We develop a new model-based extraction process guided by biomechanical analysis for walking people, and analyse its data for recognition capability. Hierarchies of shape and moti...
David K. Wagg, Mark S. Nixon
HCI
2009
13 years 2 months ago
Methods for Quantifying Emotion-Related Gait Kinematics
Quantitative models of whole body expressive movement can be developed by combining methods form biomechanics, psychology, and statistics. The purpose of this paper was to use moti...
Elizabeth A. Crane, Melissa Gross, Ed Rothman