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. © 2014 Springer International Publishing Switzerland.
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CITATION STYLE
Sioutis, M., & Tan, Y. (2014). User indoor location system with passive infrared motion sensors and space subdivision. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8530 LNCS, pp. 486–497). Springer Verlag. https://doi.org/10.1007/978-3-319-07788-8_45
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