Improving RFID's Location Based Services by means of Hidden Markov Models
Teresa García-Valverde, Alberto García-Sola, Juan Antonio Botía · Frontiers in artificial intelligence and applications · 2010
Services in Ambient Intelligence systems must adapt to context information and users. So, the development of these services become in a complex task. In this context, we present AmISim: a methodology for the engineering of AmI services. Using AmISim, a LBS based on RFID technology is built. Engineering the service is based on Hidden Markov Models (HMMs) for locations within an intelligent building. The results show that the resolution of a RFID based LBS can be significantly improved and allows by means of the simulator optimally configure the number and location of RFID antennas.