Abstract
Gait recognition involves the automatic classification of human people from sequences of data about their movement patterns. This paper describes our ongoing work in the development of a gait recognition system using Microsoft Kinect data and based on fuzzy ontologies to manage the imprecision of the data and to improve the system scalability.
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Bobillo, F., Dranca, L., & Bernad, J. (2017). A fuzzy ontology-based system for gait recognition using kinect sensor. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10564 LNAI, pp. 397–404). Springer Verlag. https://doi.org/10.1007/978-3-319-67582-4_29
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