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Erschienen in: Journal of Visualization 3/2021

02.01.2021 | Regular Paper

SensorAware: visual analysis of both static and mobile sensor information

verfasst von: Datong Wei, Chenlu Li, Hanning Shao, Zijing Tan, Zhixian Lin, Xiaoju Dong, Xiaoru Yuan

Erschienen in: Journal of Visualization | Ausgabe 3/2021

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Abstract

Sensor networks composed of static and mobile sensors are applicable for situation monitoring. In this paper, we propose SensorAware, an interactive system for visualizing and exploring spatial–temporal data from static and mobile sensors. Our system follows the procedure starting with an overview, then zoom and filter, and finally details-on-demand. We use pixel-based time-series visualization to show overall readings from individual sensors, and the readings of mobile sensors are aggregated spatially to display the distribution of sensor readings. SensorAware provides cross-filtering and details-on-demand interactions, which allow users to investigate data at different levels of details from both spatial and temporal aspects.

Graphic Abstract

Vorheriger Artikel Visual performance improvement analytics of predictive model for unbalanced panel data
Nächster Artikel IVDAS: an interactive visual design and analysis system for image data symmetry detection of CNN models

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Metadaten
Titel
SensorAware: visual analysis of both static and mobile sensor information
verfasst von
Datong Wei
Chenlu Li
Hanning Shao
Zijing Tan
Zhixian Lin
Xiaoju Dong
Xiaoru Yuan
Publikationsdatum
02.01.2021
Verlag
Springer Berlin Heidelberg
Erschienen in
Journal of Visualization / Ausgabe 3/2021
Print ISSN: 1343-8875
Elektronische ISSN: 1875-8975
DOI
https://doi.org/10.1007/s12650-020-00717-z

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