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Occupancy detection using machine learning

Title
Occupancy detection using machine learning
Authors
Choi, Rock-HyunLee, Dong-HaSon, Chang Sik
DGIST Authors
Lee, Dong-Ha
Issue Date
2018-05-24
Citation
The 13th IEMEK Symposium on Embedded Technology(ISET 2018), 118-119
Type
Conference
Abstract
Prediction of occupancy in rooms has been recently studying in order to reduce building maintenance cost. We used environmental sensors which recorded data set during spring in DGIST office room, Daegu, Korea. Main approach model is PRISM rule induction algorithm and shows 72% accuracy.
URI
http://hdl.handle.net/20.500.11750/14985
Publisher
IEMEK
Files:
There are no files associated with this item.
Collection:
ETC2. Conference Papers


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