Seminar: Smart glasses personalisation
Background
Smart eyeglasses integrate sensors can serve for multiple purposes including health monitoring. Generally, the sensors need to be integrated at specific parts of the eyeglasses to function effectively. Moreover, optimising sensor locations maximises sensor data quality. However, optimal sensor locations can vary according to different wearers’ heads. In practise, sensor locations are usually optimised manually using CAD software. The manual process discourages the fast integration.
Aim
To develop algorithms/methods to automatically optimise locations and orientation of sensors on personalised eyeglasses frames.
Learning objectives
- Learn to personalise wearables.
- Learn to model and script with mCAD software.
Data
| Project type | Seminar |
| ECTS | 5 |
| Language | English |
| Period | Winter term 2020/21 |
| Presense time | Virtual seminar, working from remote |
| Useful knowledge | Machine learning, mCAD, Python |
| Work distribution | 50% algorithm development+ 50% mCAD modelling |
| Med. Eng. designation | Advanced Context Recognition (ACR) |
| StudOn link | |
| First meeting | Online introduction/Vorbesprechung of winter term 2020/21 Seminars, on 4th November 2020 at 16:15 |
| Registration | Via StudOn, obligatory after introduction |
Literature
Up-to-date literature recommendations are provided during the meetings.
Examination
Final presentation and final report.
Contact
Rui Zhang
- Job title: Researcher
- Address:
Henkestr. 91, Geb. 7
91052 Erlangen - Phone number: +49 9131 85-23604
- Email: rui.rui.zhang@fau.de