Seminar: Detecting eye blinking with smart eyeglasses

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Figure 1. Prototype eyeglasses that monitor the eyeblinking.


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.



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.


Project type Seminar
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


Up-to-date literature recommendations are provided during the meetings.


Final presentation and final report.


Rui Zhang

  • Job title: Researcher
  • Address:
    Henkestr. 91, Geb. 7
    91052 Erlangen
  • Phone number: +49 9131 85-23604
  • Email:

Friedrich-Alexander-Universität Erlangen-Nürnberg