Determining the number of persons and their locations in an unknown indoor environment is one of the first tasks that must be done in military, rescue or intelligence operations. If there is no functioning security system in the building, one must use a monitoring system, which is rapidly deployable but simultaneously as invisible as possible. Wireless sensor network is an attractive candidate to fill such requirements. Many sensor types are suitable for indoor situation modeling, but there are also several technical challenges rising from the limited energy and communication resources of the sensor nodes. This paper focuses on estimating the number of persons in an unknown indoor environment by using low-power acoustic sensors. The number of persons is estimated by applying blind signal separation to the acoustic signal collected by the sensor nodes.
1st Mosharaka International Conference on Mobile Computing and Wireless Communications (MIC-MCWC 2006)
Congress
2006 Global Congress on Mobile Computing and Wireless Communications (GC-MCWC 2006), 17-20 September 2006, Amman, Jordan
Pages
13-18
Topics
Wireless Ad hoc Networks Wireless Sensor Networks
ISSN
2227-331X
DOI
BibTeX
@inproceedings{3MCWC2006,
title={Estimating the number of persons in an unknown indoor environment by applying wireless acoustic sensors and blind signal separation},
author={Maurizio Bocca, and Cristian Galperti, and Reino Virrankoski, and Heikki Koivo},
booktitle={2006 Global Congress on Mobile Computing and Wireless Communications (GC-MCWC 2006)},
year={2006},
pages={13-18},
doi={}},
organization={Mosharaka for Research and Studies}
}