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Advances in the Keystroke Dynamics: The Practical Impact of Database Quality
Abstract : This paper concerns database quality in the Keystroke Dynamics domain. The authors present their own algorithm and test it using two databases: the authors’ own KDS database and Keystroke Dynamics - Benchmark Data Set online database. Following problems are studied theoretically and experimentally: classification accuracy, database representativeness, increase in typing proficiency and finally: time precision in samples acquisition. Results show that the impact of the database uniqueness on the experimental results is substantial and should not be disregarded in classification algorithm evaluation.
Cited literature [21 references]
https://hal.inria.fr/hal-01551740
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Submitted on : Friday, June 30, 2017 - 2:43:27 PM
Last modification on : Thursday, October 4, 2018 - 10:12:02 PM
Long-term archiving on: : Monday, January 22, 2018 - 7:59:41 PM
Contributor : Hal Ifip Connect in order to contact the contributor
Submitted on : Friday, June 30, 2017 - 2:43:27 PM
Last modification on : Thursday, October 4, 2018 - 10:12:02 PM
Long-term archiving on: : Monday, January 22, 2018 - 7:59:41 PM
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Distributed under a Creative Commons Attribution 4.0 International License