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Quantified Self: An Overview & the Development of a Universal Tracking Application
Umeå University, Faculty of Science and Technology, Department of Computing Science.
2014 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Quantified self is the concept of tracking, recording and analyzing various pieces of data about ourselves to discover previously unknown patterns. Quantified self can involve manually or automatically recording and tracking data, like the time spent asleep, heart rate, mood or the amount of coffee consumed, using technological tools.

This thesis aims to describe the new form of self-tracking, called quantified self. This is performed by looking into the following topics: how the concept has emerged, how it is performed, the present technological tools used, how captured data can be interpreted and how to act on the data. As a contribution to the field, a tool for the quantified self practice has been developed in form of a prototype with the main purposes of universal tracking and future data source collaboration.

Place, publisher, year, edition, pages
2014. , 73 p.
Series
UMNAD, 1001
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:umu:diva-98407OAI: oai:DiVA.org:umu-98407DiVA: diva2:782642
External cooperation
Dohi Sweden
Educational program
Master of Science Programme in Computing Science and Engineering
Supervisors
Examiners
Available from: 2015-01-22 Created: 2015-01-22 Last updated: 2015-01-22Bibliographically approved

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fulltext(1762 kB)506 downloads
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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • 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