RFID-based visitors modeling for galleries using Markov model

RFID are becoming increasingly popular and are widely used in many applications. Tags can be used for environment and habit monitoring, healthcare applications, home automation and pedestrian or vehicle traffic control. This paper describes the method of building a robust N-state Markov model that describes visitor's behavior in a gallery room. The built model can be used in planning of exhibitions, in modeling of visitor's preferences, and/or in generation of predictions related to exhibition lasting, expected sales and pricing.