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  4. Camera-based Blink Detection using 3D-Landmarks
 
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2022
Conference Paper
Title

Camera-based Blink Detection using 3D-Landmarks

Abstract
Working in front of the computer for long periods of time leads to exhaustion, fatigue and high strain on the eyes. Often the natural eye blink activity is disturbed and the eyes do not form enough tears to stay moist. Computer workstations are usually equipped with a webcam, making it convenient to monitor eye blinking and easy to perform blink interventions. In this paper, we present a blink detection method that uses 3D landmarks. After presenting existing publicly available blink databases, we evaluate the accuracy of our blink detection method and discuss the results. In addition, we illustrate the scope of our eye blink detection method in the application of a non-contact stress detection software to support stress reduction in the field of occupational health management.
Author(s)
Kraft, Dimitri  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Hartmann, Frederik
Univ. Rostock  
Bieber, Gerald  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Mainwork
iWOAR '22, Proceedings of the 7th International Workshop on Sensor-based Activity Recognition and Artificial Intelligence  
Conference
International Workshop on Sensor-based Activity Recognition and Artificial Intelligence 2022  
DOI
10.1145/3558884.3558890
10.24406/H-441160
File(s)
3558884.3558890.pdf (1.18 MB)
Rights
Under Copyright
Language
English
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Keyword(s)
  • Lead Topic: Individual Health

  • Research Line: Computer vision (CV)

  • Research Line: Human computer interaction (HCI)

  • Research Line: Machine learning (ML)

  • Eye tracking

  • 3D Computer vision

  • Ubiquitous computing

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