Smart city environmental perception from ambient cellular signals

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Abstract

Smart cities require perception of environmental situation and peoples activities in order to trigger smart response and interaction. A seamless, non-intrusive means of environmental perception is Radio-based recognition since it promises ubiquitous reach and does not require any on-body worn devices or any form of active collaboration from the monitored subjects. Previous work has considered high-accuracy recognition from specialized equipment as well as utilization of WiFi CSI signals. However, these solutions can only generate silos within which recognition is performed, limited to building or organization scale. For true, city-scale environmental perception, we propose to exploit ubiquitously deployed cellular systems. In this paper, we investigate the use of cellular signals for environmental perception.

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APA

Singh, I., & Sigg, S. (2017). Smart city environmental perception from ambient cellular signals. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10393 LNCS, pp. 695–704). Springer Verlag. https://doi.org/10.1007/978-3-319-65482-9_55

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