131279 20240207154753.0 doi 10.1016/j.ijar.2019.07.012 sideral 114133 ART-2019-114133 eng Huitzil, Ignacio (orcid)0000-0002-7581-0345 Gait recognition using fuzzy ontologies and Kinect sensor data 2019 Gait recognition involves the automatic classification of human people from sequences of data about their movement patterns. It is an interesting problem with several applications, such as security or medicine. Even low cost sensors can be used to capture pose sequences with enough quality to make a successful classification possible. In this paper, we describe the use of fuzzy ontologies to represent sequences of Microsoft Kinect gait data and some biometric features relevant for the gait recognition computed after them, enabling more reusable and interpretable datasets. We also propose a novel recognition algorithm based on fuzzy logic that outperforms state-of-the-art methods for straight line walks. We also face the problem of the identification of unknown individuals that are not present in the system knowledge base. info:eu-repo/grantAgreement/ES/MINECO/TIN2016-78011-C4 info:eu-repo/grantAgreement/ES/UZ/CUD2017-17 info:eu-repo/semantics/closedAccess by-nc-nd http://creativecommons.org/licenses/by-nc-nd/3.0/es/ 2.678 2019 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 55 / 136 = 0.404 2019 Q2 T2 0.8 2019 Software 2019 Q1 Theoretical Computer Science 2019 Q2 Applied Mathematics 2019 Q2 Artificial Intelligence 2019 Q2 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Dranca, Lacramiora (orcid)0000-0002-9169-5287 Bernad, Jorge Universidad de Zaragoza (orcid)0000-0001-8531-353X Bobillo, Fernando Universidad de Zaragoza (orcid)0000-0001-5136-4152 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. 113 (2019), 354-371 Int. j. approx. reason. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING 0888-613X 1736251 http://zaguan.unizar.es/record/131279/files/texto_completo.pdf Postprint 1170372 http://zaguan.unizar.es/record/131279/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:131279 articulos driver 2024-02-07-14:36:47 ARTICLE