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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Worner, Dominic von Bomhard, Thomas Roschlin, Marc Wortmann, Felix |
| Copyright Year | 2014 |
| Description | Author affiliation: Institute of Technology Management, University of St. Gallen, Switzerland (von Bomhard, Thomas; Wortmann, Felix) || Department of Management, Technology and Economics, ETH Zurich, Switzerland (Worner, Dominic; Roschlin, Marc) |
| Abstract | Connected sensors are on the march to become pervasive. While they are often deployed for a single purpose it is worth to take a second look. In this study, we show that the widespread Netatmo weather station which is intended to monitor and improve indoor climate can be used to estimate binary occupancy of individual rooms. We collected data from 11 rooms in 3 apartments including binary occupancy for several days. We show that CO2 measurements and derivatives thereof qualify as observables to be used in Hidden Markov Models and achieve accuracies well above 75% in most cases. However, we see that the accuracy metric is often misleading for such timeseries data and consider additional performance metrics as well which show varying results depending on the respective occupancy patterns of a room. |
| Starting Page | 25 |
| Ending Page | 30 |
| File Size | 1788647 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781479951543 |
| DOI | 10.1109/IOT.2014.7030110 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-10-06 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Temperature measurement Internet of things Accuracy Hidden Markov models Estimation Meteorology |
| Content Type | Text |
| Resource Type | Article |
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