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Towards intent-aware and privacy-preserving image processing systems
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).
2020 (English)In: 10th International Conference on the Internet of Things Companion, Association for Computing Machinery (ACM), 2020Conference paper, Published paper (Refereed)
Abstract [en]

Biometric solutions for access control is an active line of research. Specifically, when it comes to facial identification for access control, these systems can pose privacy concerns. For instance, identifying people that do not want to use the facial identification module. This work focuses on implementing an intent-aware system, which uses a hand gesture trigger to initiate the identification process. In order to evaluate the system, test cases were performed to verify accuracy of each hand gesture. Thereafter, a scenario was created to simulate an activation of the prototype system. The evaluation was used to determine the convenience and guidance when implementing intent-aware systems.  

 

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2020.
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:mau:diva-51789DOI: 10.1145/3423423.3423426ISI: 001062649200003Scopus ID: 2-s2.0-85123040499ISBN: 978-1-4503-8820-7 (print)OAI: oai:DiVA.org:mau-51789DiVA, id: diva2:1662139
Conference
10th International Conference on the Internet of Things Companion, Malmö Sweden, October 6 - 9, 2020
Available from: 2022-05-31 Created: 2022-05-31 Last updated: 2023-12-13Bibliographically approved

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Mihailescu, Radu-Casian

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CiteExportLink to record
Permanent link

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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