Biometric system for person recognition using gait

Authors:
Marcin Derlatka
Affiliations:
Bialystok University of Technology, Bialystok, Poland
Venue:
ISMIS'11 Proceedings of the 19th international conference on Foundations of intelligent systems
Year:
2011

Citing 8
Cited 1

The smart floor: a mechanism for natural user identification and tracking

CHI '00 Extended Abstracts on Human Factors in Computing Systems
Automatic extraction and description of human gait models for recognition purposes

Computer Vision and Image Understanding
Outdoor recognition at a distance by fusing gait and face

Image and Vision Computing
Hand Geometry Verification Using Time Series Representation

KES '07 Knowledge-Based Intelligent Information and Engineering Systems and the XVII Italian Workshop on Neural Networks on Proceedings of the 11th International Conference
Compact time-independent pattern representation of entire human gait cycle for tracking of gait irregularities

Pattern Recognition Letters
Self-calibrating view-invariant gait biometrics

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on gait analysis
Optical sensor measurement and biometric-based fractal pattern classifier for fingerprint recognition

Expert Systems with Applications: An International Journal
How iris recognition works

IEEE Transactions on Circuits and Systems for Video Technology

Human gait recognition based on signals from two force plates

ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part II

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents a practical approach to person recognition by gait. The biometric system is based on ground reaction force (GRF) and positions of the center of pressure (COP) generated during the subject gait and the single-output multilayer neural network. The article discusses both the identification and the verification problems as well as influence of the security level on the quality of the proposed biometric system. The achieved results (more than 92% of correct recognition) show that human gait is a biometric measure which enables efficient authorization in a simple way. It could be used as a security system of a limited number of registered users.