Sensor Event Prediction using Recurrent Neural Network in Smart Homes for Older Adults
Chapter, Chapter, Peer reviewed
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Original versionCasagrande FDC, Tørresen J, Zouganeli E P. Sensor Event Prediction using Recurrent Neural Network in Smart Homes for Older Adults. In: 2018 International Conference on Intelligent Systems (IS). IEEE; 2018. p 662 - 668. https://dx.doi.org/10.1109/IS.2018.8710467
We present preliminary results on sensor data prediction in a smart home environment with a limited number of binary sensors. The data has been collected from a real home with one resident over a period of 17 weeks. We apply Recurrent Neural Network with Long Short-Term Memory to a text sequence derived from the sensors’ events to predict the next event in a sequence. We compare our system’s characteristics and results to a baseline method and to similar work in the area. Our implementation achieved a peak accuracy of 69% for a set with 13 sensors in total - motion, magnetic and power sensors - and 75% for five motion sensors.