Automatic characterization of ambulatory patterns of utilitarian and leisure trips

Aki Harma, Koen De Groot

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

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 languageEnglish
Title of host publication25th European Signal Processing Conference, EUSIPCO 2017
PublisherIEEE
Pages1897-1901
Number of pages5
ISBN (Electronic)9780992862671
DOIs
Publication statusPublished - 23 Oct 2017
Externally publishedYes
Event25th European Signal Processing Conference - Kos, Greece
Duration: 28 Aug 20172 Sept 2017
Conference number: 25

Conference

Conference25th European Signal Processing Conference
Abbreviated titleEUSIPCO 2017
Country/TerritoryGreece
CityKos
Period28/08/172/09/17

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