2018
Journal article  Open Access

Indoor bluetooth low energy dataset for localization, tracking, occupancy, and social interaction

Baronti P., Barsocchi P., Chessa S., Mavilia F., Palumbo F.

Tracking  Indoor localization  Dataset  Article  and Optics  Instrumentation  Biochemistry  indoor localization  tracking  Atomic and Molecular Physics  Electrical and Electronic Engineering  Analytical Chemistry  Social interaction  social interaction  Bluetooth Low Energy  dataset 

Indoor localization has become a mature research area, but further scientific developments are limited due to the lack of open datasets and corresponding frameworks suitable to compare and evaluate specialized localization solutions. Although several competitions provide datasets and environments for comparing different solutions, they hardly consider novel technologies such as Bluetooth Low Energy (BLE), which is gaining more and more importance in indoor localization due to its wide availability in personal and environmental devices and to its low costs and flexibility. This paper contributes to cover this gap by: (i) presenting a new indoor BLE dataset; (ii) reviewing several, meaningful use cases in different application scenarios; and (iii) discussing alternative uses of the dataset in the evaluation of different positioning and navigation applications, namely localization, tracking, occupancy and social interaction.

Source: Sensors (Basel) 18 (2018). doi:10.3390/s18124462

Publisher: Molecular Diversity Preservation International (MDPI),, Basel


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BibTeX entry
@article{oai:it.cnr:prodotti:396341,
	title = {Indoor bluetooth low energy dataset for localization, tracking, occupancy, and social interaction},
	author = {Baronti P. and Barsocchi P. and Chessa S. and Mavilia F. and Palumbo F.},
	publisher = {Molecular Diversity Preservation International (MDPI),, Basel },
	doi = {10.3390/s18124462},
	journal = {Sensors (Basel)},
	volume = {18},
	year = {2018}
}

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