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Poster abstract: SADSense: Personalized mobile sensing for seasonal effects on health
Uppsala University, Sweden.
RISE, Swedish ICT, SICS.
Uppsala University, Sweden.
Uppsala University, Sweden.
2014 (English)In: IPSN 2014 - Proceedings of the 13th International Symposium on Information Processing in Sensor Networks (Part of CPS Week), IEEE Computer Society , 2014, p. 295-296, article id 6835794Conference paper, Poster (with or without abstract) (Other academic)
Abstract [en]

People's moods and activities are heavily affected by their environment, which changes significantly throughout the year. The variable of daylight hours is huge for countries in extreme latitudes, impacting the population's health and well-being. In this paper, we present a smartphone application that efficiently and accurately measures a person's light exposure, mood and activity levels. We performed a preliminary study to show effective data collection using on-board sensors in the mobile phones. © 2014 IEEE.

Place, publisher, year, edition, pages
IEEE Computer Society , 2014. p. 295-296, article id 6835794
Keywords [en]
Data processing, Activity levels, Data collection, Light exposure, Mobile sensing, On-board sensors, Seasonal effects, Smart-phone applications, Sensor networks
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:ri:diva-46104DOI: 10.1109/IPSN.2014.6846770Scopus ID: 2-s2.0-84904679676ISBN: 9781479931460 (print)OAI: oai:DiVA.org:ri-46104DiVA, id: diva2:1458151
Conference
13th IEEE/ACM International Conference on Information Processing in Sensor Networks, IPSN 2014, 15 April 2014 through 17 April 2014, Berlin
Note

Conference code: 106452; Funding details: Swedish Foundation for Strategic Research, SSF

Available from: 2020-08-14 Created: 2020-08-14 Last updated: 2020-12-01Bibliographically approved

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