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Online Transportation Mode Recognition and an Application to Promote Greener Transportation
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering.
2017 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

It is now widely accepted that human behaviour accounts for a large portion of total global emissions, and thus influences climate change to a large extent. Changing human behaviour when it comes to mode of transportation is one component which could make a difference in the long term. In order to achieve behavioural change, we investigate the use of a persuasive multiplayer game. Transportation mode recognition is used within the game to provide bonuses and penalties to users based on their daily choices regarding transportation. To easily identify modes of transportation, an approach to transport recognition based on accelerometer and gyroscope data is analysed and extended. Preliminary results from the machine learning tests show that the classification true-positive rate for recognizing 10 different classes can reach up to 95% when using a history set (66% without). Preliminary results from testers of the game indicate that using games may be successful in causing positive change in user behaviour.

Place, publisher, year, edition, pages
2017. , p. 52
Keywords [en]
Persuasive Design, Transportation Mode Detection, Serious Games, Sustainable Behaviour
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:ltu:diva-65348OAI: oai:DiVA.org:ltu-65348DiVA, id: diva2:1136300
Educational program
Computer Science and Engineering, master's level (120 credits)
Supervisors
Examiners
Note

Del av Erasmus Mundus PERCCOM. Redovisning skedde på anordnad summer school av partner-universitet där hela konsortiet närvarade.

Available from: 2017-08-31 Created: 2017-08-27 Last updated: 2018-01-13Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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