Title :
Poster abstract: Occupancy estimation using real and virtual sensors
Author :
Srirangarajan, Seshan ; Pesch, Dirk
Author_Institution :
Nimbus Center for Embedded Syst. Res., Cork Inst. of Technol., Cork, Ireland
Abstract :
In this paper we present occupancy estimation techniques using real (motion, door closure) and virtual (PC activity detector) sensors. The techniques considered here are based on the decision tree and artificial neural network models. Results from an experimental test-bed in a four person office room are also presented.
Keywords :
decision trees; electric sensing devices; neural nets; virtual instrumentation; artificial neural network model; decision tree; occupancy estimation techniques; real sensor; virtual sensor; Buildings; Computational modeling; Decision trees; Detectors; Estimation; Neural networks; Occupancy; decision tree; neural networks;
Conference_Titel :
Information Processing in Sensor Networks (IPSN), 2013 ACM/IEEE International Conference on
Conference_Location :
Philadelphia, PA
DOI :
10.1109/IPSN.2013.6917591
