A Smart Phone based Multi-Floor Indoor Positioning System for Occupancy Detection

Md Shadab Mashuk, James Pinchin, Peer-Olaf Siebers, Terry Moore

Abstract: At present there is significant research interest in simulating building environment with artificial agents and predicting energy usage and other building performance related factors that helps to promote understanding of more sustainable buildings. To understand these energy demands it is important to understand how the building spaces are being used by individuals i.e. the occupancy pattern of individuals. There are lots of other sensors and methodology being used to understand building occupancy such as PIR sensors, logging information of Wi-Fi APs or ambient sensors such as light or CO2 composition. Indoor positioning can also play an important role in understanding building occupancy pattern. Due to the growing interest and progress being made in this field it is only a matter of time before we start to see extensive application of indoor positioning in our daily lives.
Published in: Proceedings of IEEE/ION PLANS 2018
April 23 - 26, 2018
Hyatt Regency Hotel
Monterey, CA
Pages: 216 - 227
Cite this article: Mashuk, Md Shadab, Pinchin, James, Siebers, Peer-Olaf, Moore, Terry, "A Smart Phone based Multi-Floor Indoor Positioning System for Occupancy Detection," Proceedings of IEEE/ION PLANS 2018, Monterey, CA, April 2018, pp. 216-227.
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