Seminar/Thesis: Simulation and Analysis of Smart Garment Sensing Performance

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Background

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.

Aim

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

Data

Project typeSeminar, optional: Master thesis
ECTSFor seminars: 2.5, 5, 7.5, default: 5
LanguageEnglish
PeriodSummer Term 2022
Presence time100% working from remote
Useful knowledgeMachine Learning, Python, 3D modelling, Blender
Work distribution50% programming, 50% 3D modelling
Med. Eng. designationIron Man Suit (IMS)
StudOn link(coming soon)
First MeetingCDH Seminar and Thesis Introduction, on 26th April 2022, 16:00
RegistrationVia StudOn, obligatory after introduction

Literature

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

Examination

Final presentation and final report.

Contact

Annalisa Baronetto

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