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The tum/proximityness dataset (v. 2020-02-18)
Dataset for evaluation of co-presence detection
Contributed by Michael Haus, Aaron Yi Ding, Jorg Ott.
We conducted a study with 126 subjects, over three months, collecting data from various sensors, that resulted in a multimodal dataset for co-presence detection. We publish a subset of the original data set in the period between 01.06.2018 and 15.06.2018 including Wi-Fi scans as proximity verification set, magnetometer as sensor data, the positions of Wi-Fi access points, and magnetometer's sensor hardware. This study has been published at IEEE PerCrowd 2020, M. Haus, A. Y. Ding, J. Ott, "Multimodal Co-Presence Detection with Varying Spatio-Temporal Granularity", in Proceedings of IEEE 3rd International Workshop on Context-awareness for Multi-device Pervasive and Mobile Computing (PerCrowd), 2020. DOI: http://doi.org/10.15783/c7-x43g-h794
details of the tum/proximityness dataset (v. 2020-02-18)
This dataset contains the following 4 tracesets:
how to cite this dataset
When writing a paper that uses CRAWDAD datasets, we would appreciate it if you could cite both the authors of the dataset and CRAWDAD itself, and identify the exact dataset using the appropriate version number. For this dataset, this citation would look like:
We also provide bibliographic information in common citation formats below:
Michael Haus, Aaron Yi Ding, Jorg Ott, CRAWDAD dataset tum/proximityness (v. 2020‑02‑18), downloaded from https://crawdad.org/tum/proximityness/20200218, Feb 2020.
If you do not use the provided citation formats, please include a reference with the same information, as described in the CRAWDAD FAQ.