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dc.contributor.authorSalvador-Ortega, Irene
dc.contributor.authorVivaracho-Pascual, Carlos
dc.contributor.authorSimon-Hurtado, Arancha
dc.date.accessioned2024-01-22T16:24:40Z
dc.date.available2024-01-22T16:24:40Z
dc.date.issued2023-01-17
dc.identifier.citationSensors 2023, Vol. 23, no. 3, pp. 1054es
dc.identifier.urihttps://uvadoc.uva.es/handle/10324/64831
dc.description.abstractIn this work, a novel Window Score Fusion post-processing technique for biometric gait recognition is proposed and successfully tested. We show that the use of this technique allows recognition rates to be greatly improved, independently of the configuration for the previous stages of the system. For this, a strict biometric evaluation protocol has been followed, using a biometric database composed of data acquired from 38 subjects by means of a commercial smartwatch in two different sessions. A cross-session test (where training and testing data were acquired in different days) was performed. Following the state of the art, the proposal was tested with different configurations in the acquisition, pre-processing, feature extraction and classification stages, achieving improvements in all of the scenarios; improvements of 100% (0% error) were even reached in some cases. This shows the advantages of including the proposed technique, whatever the system.es
dc.format.mimetypeapplication/pdfes
dc.language.isospaes
dc.publisherMDPIes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.subject.classificationgait recognition; smartwatch; accelerometer sensor; window fusion technique; cross-session testses
dc.titleA New Post-Processing Proposal for Improving Biometric Gait Recognition Using Wearable Deviceses
dc.typeinfo:eu-repo/semantics/articlees
dc.identifier.doihttps://doi.org/10.3390/s23031054es
dc.peerreviewedSIes
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones


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