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Heinrich, Simon

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Heinrich, Simon

Simon Heinrich, M. Sc.

Simon Heinrich
Simon Heinrich
doctoral candidate

Department of Mechanical Engineering
Institute of Applied Dynamics (LTD, Prof. Leyendecker)

Room: Room 01.013
Immerwahrstrasse 1
D-91058 Erlangen
  • Phone number: +49 9131 85-61014
  • Fax number: +49 9131 85-61011
  • Email: simon96.heinrich@fau.de
  • Website: https://www.ltd.tf.fau.de

curriculum vitae

  • 2015 – 2019 B.Eng. in Mechanical Engineering, Ostbayerische Technische Hochschule Regensburg
  • 2019 – 2021 M.Sc. in Mechanical Engineering, Friedrich-Alexander Universität Erlangen-Nürnberg
  • 2021-   doctoral candidate, Institute of Applied Dynamics, Friedrich-Alexander Universität Erlangen-Nürnberg

publications

reviewed journal publications

No publications found.

conferences and proceedings

2022

  • Heinrich S., Phutane U., Penner J., Coppers B., Liphardt AM., Leyendecker S.:
    Comparison of different approaches for the personalization of a kinematic hand model
    conference at World Biomechanics Congress 2022 (Taiwan/ Online, 2022-07-10 - 2022-07-14)
    URL: https://www.wcb2022.com

2021

  • Michaelis J., Reiher I., Heinrich S., Coppers B., Schett G., Kleyer A., Elewaut D., De Craemer M., Leyendecker S., Liphardt AM.:
    CyberGlove for clinical use?
    FAU-Networking Night Medizintechnik (Erlangen, 2021-10-27 - 2021-10-27)

further publications

research

  • Analysis of Degenerative Motion Impairments through Integration of Empathokinaesthetic Sensor Data in Biomechanical Human Models (C04)

    (Third Party Funds Group – Sub project)

    Overall project: Empatho-Kinaesthetic Sensor Technology
    Term: 2021-07-01 - 2025-06-30
    Funding source: DFG / Sonderforschungsbereich (SFB)
    URL: https://www.empkins.de/
    Abstract
    The focus of the work program is on the best possible integration of empathokinaesthetic sensor data in biomechanical models. Concretely, degenerative motion impairments of the hand are recorded by EmpkinS and reference sensors and the date is integrated optimally into the mathematical formulation of the optimal control problem, depending on the data type, measurement frequency and uncertainty, etc. Through movement tracking as well as via the prediction of movement, objective biomarkers are identified for healthy or impaired movement function.
    →More information

teaching

Friedrich-Alexander-Universität
Erlangen-Nürnberg

Schlossplatz 4
91054 Erlangen
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