Abstract
The use of indoor location information has the potential to enable ground-breaking smart services in a home environment. The objective of this research is to design a relatively inexpensive real time indoor location system which also poses no threat to user privacy. We propose an indoor location system that uses commodity parts such as infrared motion sensors and the idea of space subdivision. By evaluating the state of the sensors involved in a scene, it is further possible to evaluate each unique area and extract those that the user is most likely to be located at. In conclusion, despite a couple of flaws that should be addressed, the proposed system achieves its targets while maintaining an acceptable level of accuracy.
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Sioutis, M., Tan, Y. (2014). User Indoor Location System with Passive Infrared Motion Sensors and Space Subdivision. In: Streitz, N., Markopoulos, P. (eds) Distributed, Ambient, and Pervasive Interactions. DAPI 2014. Lecture Notes in Computer Science, vol 8530. Springer, Cham. https://doi.org/10.1007/978-3-319-07788-8_45
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DOI: https://doi.org/10.1007/978-3-319-07788-8_45
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07787-1
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