Rozpoznanie porúch chôdze pomocou hlbokého učenia – Bc. Jakub Raček
Bc. Jakub Raček
Master's thesis
Rozpoznanie porúch chôdze pomocou hlbokého učenia
Recognition of Gait Disorders using Deep Learning
Abstract:
The goal of the thesis was to classify persons into multiple classes corresponding to various gait disorders based on motion capture data. Each person was represented by a certain number of gait cycles, whereby in the context of this thesis, a gait cycle is a time series of kinetic and kinematic attributes of gait. Gait cycles are available separately for the left and right lower limb of each person …moreAbstract:
Cieľom práce bolo klasifikovať osoby na základe zaznamenaných pohybových dát do tried zodpovedajúcich rôznym poruchám chôdze. Každá osoba bola reprezentovaná niekoľkými krokovými cyklami, pričom v kontexte tejto práce je krokový cyklus časová rada kinetických a kinematických atribútov chôdze. Krokové cykly sú k dispozícií separátne pre ľavú a pravú dolnú končatinu danej osoby. V úlohe klasifikátora …more
Language used: Slovak
Date on which the thesis was submitted / produced: 17. 5. 2022
Identifier:
https://is.muni.cz/th/fitcn/
Thesis defence
- Date of defence: 22. 6. 2022
- Supervisor: doc. RNDr. Jan Sedmidubský, Ph.D.
- Reader: prof. Ing. Pavel Zezula, CSc.
Full text of thesis
Contents of on-line thesis archive
Published in Theses:- světu
Other ways of accessing the text
Institution archiving the thesis and making it accessible: Masarykova univerzita, Fakulta informatikyMasaryk University
Faculty of InformaticsMaster programme / field:
Artificial intelligence and data processing / Big data
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