Evaluation of inhabitant's walking habit in intelligent space

In this paper, the intelligent space (iSpace) concept is applied for helping disabled or blind persons in crowded environments such as train stations, or airports. The main contribution of this paper is a general mathematical (fuzzy-neuro) description of obstacles avoidance method (walking habit) of moving objects (human beings) in a limited area scanned by the intelligent space. A mobile robot with extended functions is introduced as a mobile assistant robot, which is assisted by the iSpace. The mobile assistant robot (MAR) can guide and protect a blind person in a crowded environment with the help of the iSpace. The iSpace learns the obstacle avoidance method (walking habit) of dynamic objects (human beings) by tracing their movements. The learned walking habit is encoded in a mathematical structure and is sent to the control of MAR. Control of MAR estimates the path of dynamical obstacles and helps to the blind person to avoid the collision. The prototype of the mobile assistant robot and simulations of some basic types of obstacle avoidance method (walking habit) are presented.