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...
| Main Authors: | , |
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| Format: | Others |
| Language: | English |
| Published: |
Linköpings universitet, Institutionen för datavetenskap
2016
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| Subjects: | |
| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-130864 |
| Summary: | 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. |
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