THE STAGA-DATASET: STOP AND TRIP ANNOTATED GPS AND ACCELEROMETER DATA OF EVERYDAY LIFE
Identifying stops and trips from raw GPS traces is a fundamental preprocessing step for most mobility research applications. Thus, ensuring the excellent accuracy of such systems is of high interest to researchers designing such analysis pipelines. While there are plenty of GPS datasets available, t...
Main Authors: | R. P. Spang, K. Pieper, B. Oesterle, M. Brauer, C. Haeger, S. Mümken, P. Gellert, J.-N. Voigt-Antons |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2022-08-01
|
Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLVIII-4-W1-2022/443/2022/isprs-archives-XLVIII-4-W1-2022-443-2022.pdf |
Similar Items
-
MAKING SENSE OF THE NOISE: INTEGRATING MULTIPLE ANALYSES FOR STOP AND TRIP CLASSIFICATION
by: R. P. Spang, et al.
Published: (2022-08-01) -
Smartphone Global Positioning System–Based System to Assess Mobility in Health Research: Development, Accuracy, and Usability Study
by: Robert P Spang, et al.
Published: (2023-03-01) -
Working With Environmental Noise and Noise-Cancelation: A Workload Assessment With EEG and Subjective Measures
by: Kerstin Pieper, et al.
Published: (2021-11-01) -
Affective Visualization in Virtual Reality: An Integrative Review
by: Andres Pinilla, et al.
Published: (2021-08-01) -
Stopping Speed in the Stop-Change Task: Experimental Design Matters!
by: Vera Michaela Gordi, et al.
Published: (2019-02-01)