Indoor human monitoring system using wireless and pyroelectric sensory fusion system

Indoor human monitoring is important for providing various services for individuals. In this research, we propose an indoor monitoring system based on wireless and pyroelectric infrared (WPIR) sensory fusion system which can be embedded and integrated with the traditional fire/smoke detector where they are usually installed on the ceiling by the use of pyroelectric motion sensor and low power wireless communication device. Basically, each of radio frequency (RF) localization system and pyroelectric infrared (PIR) monitoring system provides the coarse information of individuals´ location respectively. We develop a sensor network based localization method called WPIR intersection algorithm to determine the fused position from PIR and radio frequency signal localization system which utilizes received signal strength (RSS) model. We have developed and experimentally demonstrated a wireless pyroelectric sensory fusion system and WPIR intersection algorithm which can be applied in multi target tracking issues against pure PIR sensing system. Furthermore, WPIR intersection algorithm provides higher accuracy than PIR or RF localization respectively. With the proper localization and tracking in the indoor environment, the provisions of appropriate services for people can be realized.