Adrijana Car – Thomas Jekel – Josef Strobl – Gerald Griesebner (Eds.)
GI_Forum 2018, Volume 6, Issue 2
Journal for Geographic Information Science
Petra Stutz,
Eva Westermeier
S. 261 - 274
doi:
10.1553/giscience2018_02_s261
Verlag der Österreichischen Akademie der Wissenschaften
doi:
10.1553/giscience2018_02_s261
Abstract:
With the advent of wearable GNSS devices and activity trackers, new opportunities for automatic travel-mode detection arise. Although physiological measures such as heart rates carry a high potential for travel-mode detection, little research has been done that exploits this data. This paper presents a rule-based method for the detection of the travel modes walk, bike, bus, train and car, based on the combination of GNSS and heart-rate data from off-the-shelf fitness watches. The aim of this research is to minimize the input variables and reference data for mode detection. In the case study, the proposed workflow performed very well and substantially reduced the confusion between active and motorized travel modes compared to a workflow that did not take heart rate into consideration, although the differentiation among motorized travel modes could be further enhanced with additional data. Combining GNSS data with physiological variables such as heart rate allows a clear reduction in the amount of reference data and processing effort required for mode detection.
travel-mode detection, active mobility, trip segmentation, physiological data, GPS
Published Online:
2018/12/10 12:50:53
Object Identifier:
0xc1aa5572 0x003a2033
Rights:https://creativecommons.org/licenses/by-nd/4.0/
GI_Forum publishes high quality original research across the transdisciplinary field of Geographic Information Science (GIScience). The journal provides a platform for dialogue among GI-Scientists and educators, technologists and critical thinkers in an ongoing effort to advance the field and ultimately contribute to the creation of an informed GISociety. Submissions concentrate on innovation in education, science, methodology and technologies in the spatial domain and their role towards a more just, ethical and sustainable science and society. GI_Forum implements the policy of open access publication after a double-blind peer review process through a highly international team of seasoned scientists for quality assurance. Special emphasis is put on actively supporting young scientists through formative reviews of their submissions. Only English language contributions are published.
Starting 2016, GI_Forum publishes two issues a Year.
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