Automatic characterization of ambulatory patterns of utilitarian and leisure trips
- Published
- Accepted
- Subject Areas
- Kinesiology, Public Health, Computational Science
- Keywords
- health behavior, health self-management, location information, path geometry, utilitarian and leisure activities, magnetometric data
- Copyright
- © 2017 Härmä et al.
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
- Cite this article
- 2017. Automatic characterization of ambulatory patterns of utilitarian and leisure trips. PeerJ Preprints 5:e2751v1 https://doi.org/10.7287/peerj.preprints.2751v1
Abstract
In the health self-management services it is beneficial to identify and address the already existing healthy activity patterns of the user. Some of these healthy activity patterns might be of a utilitarian nature, e.g. commuting to work by bike or on foot, or might be for leisure, like taking a walk in a park. In the paper we discuss one possibility to detect the utilitarian or leisure nature of a particular ambulatory path based on the geometry of the trajectory. In essence, a leisure trip is more commonly a round-trip while an utilitarian A-to-B trips follow the single shortest path between A and B. We define a generic measure for the characterization of utilitarian and leisure paths based on GPS location data and develop an algorithm for approaching the same based on only magnetometric data from a wearable device.
Author Comment
This is a submission to PeerJ for review.