Transducer State Prediction System for Smart Environment Intelligent Control


Smart environments possess devices that collaborate to help the user non-intrusively. One possible aid smart environment offer is to anticipate user's tasks and perform them on his/her behalf or facilitate the action completion. In this paper, we propose a framework that predicts user's actions by learning his/her behavior when interacting with the smart environment. We prepare the datasets and train a predictor that is responsible to decide whether a target transducer value should be changed or not. Our solution achieves a significant improvement for all target transducers studied and most combinations of parameters yields better results than the base case.

DOI: 10.1109/BRACIS.2015.32

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@article{Freitas2015TransducerSP, title={Transducer State Prediction System for Smart Environment Intelligent Control}, author={Marcelo Bassani de Freitas and George D. C. Cavalcanti and Robert Sabourin}, journal={2015 Brazilian Conference on Intelligent Systems (BRACIS)}, year={2015}, pages={270-275} }