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Friedrich-Alexander-Universität Lehrstuhl für Autonome Systeme und Mechatronik ASM
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  1. Friedrich-Alexander-Universität
  2. Technische Fakultät
  3. Department Elektrotechnik-Elektronik-Informationstechnik
Friedrich-Alexander-Universität Lehrstuhl für Autonome Systeme und Mechatronik ASM
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Fundamentals of Biomechanical Simulations

In page navigation: Chair of Autonomous Systems and Mechatronics
  • Research
    • Components and Control
    • Interfaces and Interaction
    • Human-Machine-Centered Design Methods
    • Biomechanical Motion Analysis and Creation
      • Applications of Biomechanical Simulations
      • Biomechanical Assessment of Big Wave Surfing
      • Bridging the gap in ACL injury prevention with FAME: Field-based Athlete Motion Evaluation and simulation (FAME)
      • Digital Twin of the Musculoskeletal System
      • Fundamentals of Biomechanical Simulations
      • Individual Performance Prediction Using Musculoskeletal Modeling
      • Machine Learning for Personalisation of Biomechanical Movement Simulations (C01)
      • Personalization of Muscoskeletal Models
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Fundamentals of Biomechanical Simulations

Project leader: Anne Koelewijn
Start date: 1. August 2019
End date: 1. August 2022
Funding source: adidas AG

 

Abstract

The goal of this project is to develop data-based and knowledge-based methods for accurate analysis and simulation of human motion, focused on gait. Movement simulations are created by solving trajectory optimization problems, using an objective related to energy, a musculoskeletal model to model the body and muscle dynamics, and constraints to define the movement task. We use data-based approaches to improve musculoskeletal models and simulation accuracy. With our research, we aim to better understand human motion, and thereby improve design of wearables, such as prostheses, exoskeletons, and running shoes.

Lehrstuhl für Autonome Systeme und Mechatronik
Friedrich-Alexander-Universität Erlangen-Nürnberg

Paul-Gordan-Strasse 3/5
91052 Erlangen
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