Guevara-Maldonado, CésarSantos. MatildeJadán-Guerrero, Janio2022-06-182022-06-182019https://link.springer.com/chapter/10.1007/978-3-319-94120-2_42https://hdl.handle.net/20.500.14809/3154This work proposes a model of movement detection in patients with hip surgery rehabilitation. Using the Microsoft Xbox One Kinect motion capture device, information is acquired from 25 body points -with their respective coordinate axes- of patients while doing rehabilitation exercises. Bayesian networks and sUpervised Classification System (UCS) techniques have been jointly applied to identify correct and incorrect movements. The proposed system generates a multivalent logical model, which allows the simultaneous representation of the exercises performed by patients with good precision. It can be a helpful tool to guide rehabilitationengclosedAccesshttps://creativecommons.org/licenses/by/4.0/article