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Authentication system based on hand-arm-movements
Linköping University, Department of Computer and Information Science.
Linköping University, Department of Computer and Information Science.
2016 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

This study treats behavioral biometric authentication, and its focus is on creating an application that uses hand-arm-movements to identify users. The systemis modelled to achieve a minimal false rejection rate (FRR) and false acceptance rate (FAR). Experiments featuring several test subjects performing hand-arm-movements using our device were performed in order to gauge the FRR and FAR of our system. The FRR and FAR achieved were 35% and 15.8%, respectively. The study concludes that hand-arm-movements may be useful for authentication, but further research is required.

Place, publisher, year, edition, pages
2016. , 25 p.
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:liu:diva-130864ISRN: LIU­-IDA/LITH­-EX­-G­­--16/047­­--SEOAI: oai:DiVA.org:liu-130864DiVA: diva2:956085
Subject / course
Computer science
Supervisors
Examiners
Available from: 2016-08-29 Created: 2016-08-29 Last updated: 2016-08-29Bibliographically approved

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AuthHandArmMove(550 kB)106 downloads
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File name FULLTEXT01.pdfFile size 550 kBChecksum SHA-512
9f8d1063789dc76bb5e4818f66a60a77ee85a778fbf710c1f76bb1647581ff83eccbe199c4db4cddddc294c0665acbd4ada4ef03b3199acd5b1ed915f1590466
Type fulltextMimetype application/pdf

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Lindström, JohanSonnert, Adrian
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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • 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