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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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  5. Individual Performance Prediction Using Musculoskeletal Modeling

Individual Performance Prediction Using Musculoskeletal Modeling

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
      • Videos

Individual Performance Prediction Using Musculoskeletal Modeling

Project leader: Anne Koelewijn
Project members: Chuyi Wang, Marlies Nitschke
Start date: 1. February 2022
End date: 31. January 2025
Funding source: adidas AG

 

Abstract

Biomechanical modeling and simulation are performed to analyze and understand human motion and performance. One objective is to reconstruct human motion from measurement data e.g. to assess the individual performance of athletes and customers. Another objective is to synthesize realistic human motion to study human-production interaction. The reconstruction (a) and synthesis of human motion (b) will be addressed in this  research position. New algorithms using biomechanical simulation of musculoskeletal models will be developed to enable innovative applications and services for Adidas. Moreover, predictive biomechanical simulation will be combined with wearable sensor technology to build a product recommendation application.

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

Paul-Gordan-Strasse 3/5
91052 Erlangen
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