Automatic Fitting of Smart Clothes
- Dozentinnen/Dozenten
- Prof. Dr. Oliver Amft, Annalisa Baronetto, M. Sc.
- Angaben
- Seminar
Online 4 SWS, benoteter Schein, Anwesenheitspflicht, ECTS-Studium, ECTS-Credits: 5, Sprache Englisch
Zeit:
- Voraussetzungen / Organisatorisches
- Link to the online introduction/Vorbesprechung April 12, 16:15-17:45, https://fau.zoom.us/j/97705596817?pwd=QlFjRlErMEJXWWlqVkFid01tUGJDdz09
- ECTS-Informationen:
- Credits: 5
- Prerequisites
- Useful knowledge:
Machine Learning, Python, 3D Modelling.
- Contents
- 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.
Aim:
Implement an algorithm to automate the fitting of the GastroDigitalShirt prototype developed at the Chair.
Learning objectives:
Learn concepts of smart textiles.
Learn concepts of manufacturing techniques of wearables.
Apply 3D modelling to analyse smart garments comfort and wearability.
Examination:
Final presentation and final report.
- Literature
- Up-to-date literature recommendations are provided during the lectures.
- Zusätzliche Informationen
- Schlagwörter: IMS
Erwartete Teilnehmerzahl: 20, Maximale Teilnehmerzahl: 20
www: https://www.cdh.med.fau.de/2021/03/19/seminar-thesis-automatic-fitting-of-smart-clothes/ Für diese Lehrveranstaltung ist eine Anmeldung erforderlich. Die Anmeldung erfolgt von Montag, 29.3.2021, 08:00 Uhr bis Freitag, 23.4.2021, 18:00 Uhr über: StudOn.
- Institution: Lehrstuhl für Digital Health
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