uu.seUppsala University Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Seasonal Affective Disorder Monitoring System
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology.
2013 (English)Independent thesis Advanced level (degree of Master (Two Years)), 30 credits / 45 HE creditsStudent thesis
Abstract [en]

Wireless Sensor Networks  (WSNs) are essential technologies for environmental monitoring. They are composed of small electronic devices, which can monitor, collect and report  environmental data autonomously and continuously with respect to energy consumption and accuracy of data. Recently, mobile phones have become integral part of our daily lives. They have been widely used as mobile sensors to monitor the human behaviour and emotion. Mental problem is becoming a global concern in modern society. Some of the psychological problems, such as Seasonal Affective Disorder (SAD), may cause depression and sickness due to the lack of sunlight in long and dark winters. In this master thesis, we design a system, named Seasonal Affective Disorder Monitoring (SADM), to measure human sociability and light exposure to study the SAD psychological problem among people. The goal of this work is to monitor and improve the mental and physical health of people in our society. The system utilizes both stationary sensors and mobile sensors for monitoring light intensity and human activities continuously, which can help us to learn more about their mental and physical health in diff( erent seasons. The results give us a history of the level of the people's activity and also the percentage of light intensity in the environment and light intensity that individuals received in daily life. Using this information, we analyse the relation between human behaviour and seasonal changes.

Place, publisher, year, edition, pages
2013.
Series
IT, 13 029
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:uu:diva-199586OAI: oai:DiVA.org:uu-199586DiVA: diva2:620254
Educational program
Master Programme in Computer Science
Uppsok
Technology
Supervisors
Examiners
Available from: 2013-05-08 Created: 2013-05-08 Last updated: 2013-05-08Bibliographically approved

Open Access in DiVA

fulltext(13309 kB)475 downloads
File information
File name FULLTEXT01.pdfFile size 13309 kBChecksum SHA-512
1f45a0668b1c00cd4683264aab5bce2a1cda732f2064f0c4f137fe98b36e49b512d584335c8bc15d4fdc6ea1e0313aa766022b5d6bf6c173f1335cdb358ae06f
Type fulltextMimetype application/pdf

By organisation
Department of Information Technology
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 475 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 1298 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf