Poster abstract: SADSense: Personalized mobile sensing for seasonal effects on health
2014 (Engelska)Ingår i: IPSN 2014 - Proceedings of the 13th International Symposium on Information Processing in Sensor Networks (Part of CPS Week), IEEE Computer Society , 2014, s. 295-296, artikel-id 6835794Konferensbidrag, Poster (med eller utan abstract) (Övrigt vetenskapligt)
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.
Ort, förlag, år, upplaga, sidor
IEEE Computer Society , 2014. s. 295-296, artikel-id 6835794
Nyckelord [en]
Data processing, Activity levels, Data collection, Light exposure, Mobile sensing, On-board sensors, Seasonal effects, Smart-phone applications, Sensor networks
Nationell ämneskategori
Teknik och teknologier
Identifikatorer
URN: urn:nbn:se:ri:diva-46104DOI: 10.1109/IPSN.2014.6846770Scopus ID: 2-s2.0-84904679676ISBN: 9781479931460 (tryckt)OAI: oai:DiVA.org:ri-46104DiVA, id: diva2:1458151
Konferens
13th IEEE/ACM International Conference on Information Processing in Sensor Networks, IPSN 2014, 15 April 2014 through 17 April 2014, Berlin
Anmärkning
Conference code: 106452; Funding details: Swedish Foundation for Strategic Research, SSF
2020-08-142020-08-142020-12-01Bibliografiskt granskad