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CONFERENCE[OC30]
The STAGA-Dataset: Stop and Trip Annotated GPS and Accelerometer Data of Everyday Life
Spang, R. P., Pieper, K., Oesterle, B., Brauer, M., Haeger, C., Mümken, S., Gellert, P. & Voigt-Antons, J.-N.
Paper presented at the Free and Open Source Software for Geospatial (FOSS4G 2022). Firenze, Italy
Abstract
We introduce STAGA, a curated dataset of everyday mobility with synchronized GPS and accelerometer streams and expert annotations for stops and trips. The corpus covers diverse contexts, devices, and sampling regimes to support method development and benchmarking. We describe collection, labeling protocols, and baseline models, and provide open access for reproducible mobility analytics.
Record
- Reference
[OC30]in the Publikationsverzeichnis - TypeConference paper
- Year2022
- Research lineDigital Health & Learning
- Identifier
2022-08-06-OC29
BibTeX
@inproceedings{voigtantons2022oc29,
author = {Spang, R. P. and Pieper, K. and Oesterle, B. and Brauer, M. and Haeger, C. and Mümken, S. and Gellert, P. and Voigt-Antons, J.-N.},
title = {The STAGA-Dataset: Stop and Trip Annotated GPS and Accelerometer Data of Everyday Life},
year = {2022},
booktitle = {Paper presented at the Free and Open Source Software for Geospatial (FOSS4G 2022). Firenze, Italy},
doi = {10.5194/isprs-archives-XLVIII-4-W1-2022-443-2022},
}