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Mobile, Wireless, and Sensor Networks
This chapter proposes a learning and prediction based paradigm for designing smart home environments. The foundation of this paradigm lies in information theory as it manages uncertainties in inhabitants' contexts (e.g., location or mobility, and activities) in daily lives. The underlying idea is to intelligently build compressed dictionaries of context profiles collected from sensor data, efficiently learn from this information, and then predict inhabitant's future contexts. Successfuldoi:10.1002/0471755591.ch13 fatcat:x5aqasjvhjfb3hkxsoffgt2hpq