Seminar: Detecting eye blinking with smart eyeglasses
Background
Eye blinking is associated with attention. Blinking frequency changes during different activities. Eye blinking has a wide range of applications in human computer interface (HCI). Monitoring eye blinking rate can indicate fatigue levels e.g. during driving, and even reminds people to blink when staring at a screen! Existing eye blinking detection approaches often cannot suit resource-limited platforms like smart eyeglasses or perform not accurately enough for HCI applications. In the project, we aim at detecting eye blinking using sensors integrated in smart eyeglasses.
Aim
Prototype smart eyeglasses, detect eye blinking using smart eyeglasses.
Learning objectives
- Prototype activity monitoring wearables.
- Design study protocols and arrange data collection.
- Detect activities using multi-model sensor data.
Data
| Project type | Seminar |
| ECTS | 5 |
| Language | English |
| Period | Summer term 2020 |
| Presense time | 80% working from remote, 20% on-site lab work |
| Useful knowledge | Python, pattern recognition, embedded programming |
| Work distribution | 40% programming, 40% theory, 20% data collection |
| Med. Eng. designation | Advanced Context Recognition (ACR) |
| StudOn link | StudOn-Link |
| First meeting | Online introduction/Vorbesprechung, see: online-introduction-vorbesprechung-of-summer-term-2020-seminars |
| 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