Sensor based Environment Adaptive Learning System for Person Authorization

This paper presents a robust distributed architecture for adaptive and intelligent systems, called EAS (Environment Adaptive Learning Scheme), with self-learning capability to use under dynamic and uneven environments. Our proposed system adopts the concepts of situation-awareness with the evolutionary computations where the working environments are modeled and identified as environmental situations. We have used ART2 for Environment modeling while unsupervised learning algorithm for environment identification.