Application of the computational theory of perceptions to human gait pattern recognition


This paper aims to contribute to the field of human gait pattern recognition by providing a solution based on the computational theory of perceptions. Our model differs significantly from others, e.g., based on machine learning techniques, because we use a linguistic model to represent the subjective designer's perceptions of the human gait process. This model is easily understood and provides good results. We include a practical demonstration with an equal error rate of 3%.

Publication type: 
JRC-SCI Magazine
Published in: 
Pattern Recognition Vol.43, N.7 (2010), p.p. 2572-2581 
Publication date: 
July 2010
Other Authors: 
Gracian Trivino; Alberto Alvarez-Alvareza