Title
Uncovering optimal strategies in human motion through inverse optimal control: doctoral dissertation
Creator
Bečanović, Filip, 1997-
CONOR:
114116105
Copyright date
2023
Object Links
Language
English
Cobiss-ID
Theses Type
Doktorska disertacija
description
Datum odbrane: 29.2.2024.
Other responsibilities
Academic Expertise
Tehničko-tehnološke nauke
University
Univerzitet u Beogradu
Faculty
Elektrotehnički fakultet
Alternative title
Otkrivanje optimalnih strategija u ljudskom kretanju putem inverznog optimalnog upravljanja
Publisher
[F. Bečanović]
Format
112 str.
description
Electrical and Computer Engineering - Inverse Optimal Control, Biomechanics / Електротехника и рачунарство - Инверзно оптимално управљање, Биомеханика
Abstract (en)
This thesis navigates the interdisciplinary realm of human biomechanics and
optimization-based motion modeling. It focuses on inverse optimal control and its application
to resolve associated challenges in designing more accurate data-driven simulations of human
muscle force sharing during gait and human box-lifting. ..
Abstract (sr)
Ова теза се бави интердисциплинарним подручјем људске биомеханике
и моделирањем кретања заснованог на оптимизацији. Фокусира се на инверзно опти-
мално управљање и његову примену за решавање изазова у дизајнирању прецизнијих симулација заснованих на подацима расподеле људске мишићне силе током хода и људског подизања кутија...
Authors Key words
biomechanics, human modeling, human motion simulation, inverse optimal
control, human motion analysis, ergonomics, muscle force analysis, box lifting
Authors Key words
биомеханика, људско моделирање, симулација људског покрета, ин-
верзно оптимално управљање, анализа људског покрета, ергономија, анализа мишићне
силе, дизање кутија
Classification
681.5.017:577.3(043.3)
Type
Tekst
Abstract (en)
This thesis navigates the interdisciplinary realm of human biomechanics and
optimization-based motion modeling. It focuses on inverse optimal control and its application
to resolve associated challenges in designing more accurate data-driven simulations of human
muscle force sharing during gait and human box-lifting. ..
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