Seminar/Thesis: Dynamic fitting of smart clothes
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.
Learning objectives
- Learn concepts of smart textiles
- Apply 3D modelling to analyse smart garments comfort and wearability
Data
| Project type | Seminar (optional: Master thesis) |
| ECTS | 2.5, 5, 7.5, default: 5 |
| Language | English |
| Period | Winter term 2021-22 |
| Presence time | Virtual seminar, working from remote |
| Useful knowledge | Python, Machine learning, 3D modelling, Blender |
| Work distribution | 50% programming, 50% 3D modelling |
| Med. Eng. designation | Iron Man Suit (IMS) |
| StudOn link | Please join |
| First meeting | CDH Seminar and Thesis Introduction, 18th October 16:00 |
| Registration | Via 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