Eye Tracking and Eye-Based Human–Computer Interaction
By Päivi Majaranta, Andreas Bulling. 2014
532 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Human-Computer Interaction
View Paper: https://www.semanticscholar.org/paper/25b7bc1aa5bff90b325cc4b0d9b15f5da33a25c7
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Mario Fritz
- Bernt Schiele
- Antonio Torralba
- Luc Van Gool
- Trevor Darrell
- Dacheng Tao
- Xiaogang Wang
- Chunhua Shen
In Radiology, Nuclear Medicine and Imaging
- Xucong Zhang
- Mario Fritz
- Andreas Bulling
- Yusuke Sugano
- Chi Zhang
- Antonio Torralba
- Petr Kellnhofer
- Wojciech Matusik
In Human-Computer Interaction
- Xucong Zhang
- Mario Fritz
- Andreas Bulling
- Yusuke Sugano
- Antonio Torralba
- Wojciech Matusik
- Petr Kellnhofer
- Chi Zhang
Citations in the corpus
- Review of Eye Tracking Metrics Involved in Emotional and Cognitive Processes (2021, background): “The eye tracking technology is being used in a wide variety of disciplines, including psychology, human-computer interactions as well as in commercial and safety applications [40].”
- Eye Tracking for Everyone (2016, background): “From human–computer interaction techniques [16, 23, 26] to medical diagnoses [12] to psychological studies [27] to computer vision [3, 18], eye tracking has applications in many areas [6].”
- MPIIGaze: Real-World Dataset and Deep Appearance-Based Gaze Estimation (2017, methodology): “GAZE estimation is well established as a research topic in computer vision because of its relevance for several applications, such as gaze-based human-computer interaction[1] or visual attention analysis [2], [3].”
- Appearance-based gaze estimation in the wild (2015, methodology): “Laptops not only allow us to record in the wild but they also have considerable potential as an application platform, such as for gaze interaction [28].”
- Efficient eye typing with 9-direction gaze estimation (2017, methodology): “When using corneal reflec-tion to detect eye features, infrared lights illuminate the surface of the cornea and multiple cameras are needed to collect eye images [7], [8].”