Movement Detection Algorithm for Patients with Hip Surgery
| dc.contributor.author | Guevara-Maldonado, César | |
| dc.contributor.author | Santos. Matilde | |
| dc.contributor.author | Jadán-Guerrero, Janio | |
| dc.date.accessioned | 2022-06-18T23:02:34Z | |
| dc.date.available | 2022-06-18T23:02:34Z | |
| dc.date.issued | 2019 | |
| dc.description.abstract | This 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 rehabilitation | es |
| dc.identifier.uri | https://link.springer.com/chapter/10.1007/978-3-319-94120-2_42 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14809/3154 | |
| dc.language.iso | eng | es |
| dc.publisher | Advances in Intelligent Systems and Computing. Volume 771, Pages 439 – 448. International Joint Conference: 13th International Conference on Soft Computing Models, SOCO 2018, 11th International Conference on Computational Intelligence in Security for Information Systems, CISIS 2018 and 9th International Conference on EUropean Transnational Education, ICEUTE 2018. San Sebastian. 6 June 2018 through 8 June 2018 | es |
| dc.rights | closedAccess | es |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | es |
| dc.title | Movement Detection Algorithm for Patients with Hip Surgery | es |
| dc.type | article | es |