Seminar/Thesis: Dynamic fitting of smart clothes

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Wearable technology often requires devices to be personalized in order to achieve comfort and usability requirements for a long-term, inconspicuous monitoring of the user health. We propose to implement an algorithm to automate the customization and fitting of smart clothes under motion dynamics.


The project aims to implement an algorithm to automate the design the GastroDigitalShirt prototype and analyse its fitting in dynamic simulations.

Learning objectives

  • Learn concepts of smart textiles
  • Apply 3D modelling to analyse smart garments comfort and wearability


Project typeSeminar (optional: Master thesis)
ECTS2.5, 5, 7.5, default: 5
PeriodWinter term 2021-22
Presence timeVirtual seminar, working from remote
Useful knowledgePython, Machine learning, 3D modelling, Blender
Work distribution50% programming, 50% 3D modelling
Med. Eng. designationIron Man Suit (IMS)
StudOn linkPlease join
First meetingCDH Seminar and Thesis Introduction, 18th October 16:00
RegistrationVia StudOn, obligatory after introduction


Up-to-date literature recommendations are provided during the lectures.


Final presentation and final report.


Annalisa Baronetto

  • Job title: Researcher
  • Address:
    Henkestraße 91, Haus 7, 1. OG
    91052 Erlangen
  • Phone number: +49 9131 85 23608
  • Email:
Friedrich-Alexander-Universität Erlangen-Nürnberg