Authentication system based on hand-arm-movements

Authentication system based on hand-arm-movements

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 perfor...

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Bibliographic Details
Main Authors: Lindström, Johan, Sonnert, Adrian
Format: Others
Language:English
Published: Linköpings universitet, Institutionen för datavetenskap 2016
Subjects:
Computer and Information Sciences
Data- och informationsvetenskap
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-130864
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spelling ndltd-UPSALLA1-oai-DiVA.org-liu-1308642018-01-11T05:11:20ZAuthentication system based on hand-arm-movementsengLindström, JohanSonnert, AdrianLinköpings universitet, Institutionen för datavetenskapLinköpings universitet, Institutionen för datavetenskap2016Computer and Information SciencesData- och informationsvetenskapThis 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. Student thesisinfo:eu-repo/semantics/bachelorThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-130864application/pdfinfo:eu-repo/semantics/openAccess
collection NDLTD
language English
format Others
sources NDLTD
topic Computer and Information Sciences
Data- och informationsvetenskap
spellingShingle Computer and Information Sciences
Data- och informationsvetenskap
Lindström, Johan
Sonnert, Adrian
Authentication system based on hand-arm-movements
description 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.
author Lindström, Johan
Sonnert, Adrian
author_facet Lindström, Johan
Sonnert, Adrian
author_sort Lindström, Johan
title Authentication system based on hand-arm-movements
title_short Authentication system based on hand-arm-movements
title_full Authentication system based on hand-arm-movements
title_fullStr Authentication system based on hand-arm-movements
title_full_unstemmed Authentication system based on hand-arm-movements
title_sort authentication system based on hand-arm-movements
publisher Linköpings universitet, Institutionen för datavetenskap
publishDate 2016
url http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-130864
work_keys_str_mv AT lindstromjohan authenticationsystembasedonhandarmmovements
AT sonnertadrian authenticationsystembasedonhandarmmovements
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