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- Publisher Website: 10.1109/IPSN.2014.6846770
- Scopus: eid_2-s2.0-84904679676
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Conference Paper: Poster abstract: SADSense: Personalized mobile sensing for seasonal effects on health
Title | Poster abstract: SADSense: Personalized mobile sensing for seasonal effects on health |
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Authors | |
Issue Date | 2014 |
Citation | IPSN 2014 - Proceedings of the 13th International Symposium on Information Processing in Sensor Networks (Part of CPS Week), 2014, p. 295-296 How to Cite? |
Abstract | 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. |
Persistent Identifier | http://hdl.handle.net/10722/281382 |
DC Field | Value | Language |
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dc.contributor.author | Niroumand, Kamyar | - |
dc.contributor.author | McNamara, Liam | - |
dc.contributor.author | Goguev, Kiril | - |
dc.contributor.author | Ngai, Edith | - |
dc.date.accessioned | 2020-03-13T10:37:44Z | - |
dc.date.available | 2020-03-13T10:37:44Z | - |
dc.date.issued | 2014 | - |
dc.identifier.citation | IPSN 2014 - Proceedings of the 13th International Symposium on Information Processing in Sensor Networks (Part of CPS Week), 2014, p. 295-296 | - |
dc.identifier.uri | http://hdl.handle.net/10722/281382 | - |
dc.description.abstract | 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. | - |
dc.language | eng | - |
dc.relation.ispartof | IPSN 2014 - Proceedings of the 13th International Symposium on Information Processing in Sensor Networks (Part of CPS Week) | - |
dc.title | Poster abstract: SADSense: Personalized mobile sensing for seasonal effects on health | - |
dc.type | Conference_Paper | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/IPSN.2014.6846770 | - |
dc.identifier.scopus | eid_2-s2.0-84904679676 | - |
dc.identifier.spage | 295 | - |
dc.identifier.epage | 296 | - |