Seminar: iGlasses Lite – Dietary Monitoring Eyeglasses
Course/Project description
Chewing and biting are two interesting targets of dietary monitoring. The proposed student project aims at offering a wearable solution of chewing and biting monitoring in free-living by integrating sensors in smart eyeglasses. In the first stage, chewing and biting sensors would be integrated on 3D-printed eyeglasses. A basic data recording system would be implemented. Secondly, a pilot study would be conducted to collect a minimized sensor dataset including eating activities. The data quality would be assessed, and results would be used to optimize the system with focus on sensor positioning, event-triggering and online processing strategy. The project will yield a ready-to-use version of eating monitoring eyeglasses that could be contributing to long-term eating monitoring.
Learning objectives
- Wearable prototyping and system integration
- Timeseries processing and eating detection
Course data
ECTS | 2.5, 5, 7.5, default: 5 |
Project type | BSc./MSc.-Seminar, Thesis |
Language | English |
Presence time | 4 SWS |
Useful knowledge | 50% hardware design + 50% programming |
Work distribution | Embedded System, Python |
Period | Summer semester 2019 |
Med. Eng. Seminar Title | Advance Context Recognition (ACR) |
First meeting | Seminar introduction on
24. Apr. 2019, 17:00-18:30 at Henkestr. 91, Haus 7, 1. OG, R 373. |
Literature
Up-to-date literature recommendations are provided during the lectures.
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