The field of biometrics is currently an area that is both very interesting as well as rapidly growing. Among various types of behavioral biometrics, human gait recognition is worthy of particular attention. Unfortunately, one issue which is frequently overlooked in subject-related literature is the problem of the changing quality of a biometric system in relation to tests that are repeated after some time. The present article describes tests meant to assess the accuracy of a human gait recognition system based on Ground Reaction Forces in time removed repeated trials. Both the initial testing as well as the repeated trials were performed with the participation of the same 40 people (16 women and 24 men) which allowed the recording of nearly 1,600 stride sequences (approximately 800 in each trial). Depending on the adopted scenario correct recognition ranged from 90.4% to 100% of cases. These results indicate that the biometric system had greater problems with recognition the longer the period of time which passed since the first trials. The present article also analyzed the impact of footwear change in the second series of testing on recognition results.
CITATION STYLE
Derlatka, M. (2020). Time Removed Repeated Trials to Test the Quality of a Human Gait Recognition System. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12133 LNCS, pp. 15–24). Springer. https://doi.org/10.1007/978-3-030-47679-3_2
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