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 this 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 magnetometer data from a wearable device.
Original language | English |
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Title of host publication | 25th European Signal Processing Conference, EUSIPCO 2017 |
Publisher | IEEE |
Pages | 1897-1901 |
Number of pages | 5 |
ISBN (Electronic) | 9780992862671 |
DOIs | |
Publication status | Published - 23 Oct 2017 |
Externally published | Yes |
Event | 25th European Signal Processing Conference - Kos, Greece Duration: 28 Aug 2017 → 2 Sept 2017 Conference number: 25 |
Conference
Conference | 25th European Signal Processing Conference |
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Abbreviated title | EUSIPCO 2017 |
Country/Territory | Greece |
City | Kos |
Period | 28/08/17 → 2/09/17 |