A context-aware entrance guard in smart home: An event-driven application based on the human motion and face recognition

Abstract

In terms of the convenience and interaction in the smart home, context awareness is introduced when we enter or leave a house resulting from that conventional methods such as RFID and pyroelectric infrared (PIR) sensors are usually adopted in indoor environments which are tough to determine the human motion direction. Specifically, a centroid based human motion recognition is implemented along with the eigenface based face recognition, which are both used to detect an event with the time and place added. Thus, an event driven application is constructed concerning the distinctive reactions towards different events detected. This paper initially proposes the algorithms adopted in the recognition of motion and face. Finally, with the method integration, an experiment is carried out in our demonstration room comprising the information integration of the camera videos as well as the communication in the wireless nodes that enables the reactions of the corresponding actuators, which is a positive attempt in context-aware smart home and can be further investigated afterwards.