Contactless Real-Time Eye Gaze-Mapping System Based on Simple Siamese Networks

Human–computer interaction (HCI) is a multidisciplinary field that investigates the interactions between humans and computer systems. HCI has facilitated the development of various digital technologies that aim to deliver optimal user experiences. Gaze recognition is a critical aspect of HCI, as it...

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Bibliographic Details
Published inApplied sciences Vol. 13; no. 9; p. 5374
Main Authors Ahn, Hoyeon, Jeon, Jiwon, Ko, Donghwuy, Gwak, Jeonghwan, Jeon, Moongu
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 25.04.2023
Subjects
Cameras
Computers
Datasets
Eye movements
facial detection
facial recognition
Facial recognition technology
gaze mapping
Human acts
Human behavior
Human-computer interface
human–computer interaction
Jones, Michal
Lighting
Mapping
Methods
Neural networks
User experience
User requirements
South Korea
Germany
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Summary:Human–computer interaction (HCI) is a multidisciplinary field that investigates the interactions between humans and computer systems. HCI has facilitated the development of various digital technologies that aim to deliver optimal user experiences. Gaze recognition is a critical aspect of HCI, as it can provide valuable insights into basic human behavior. The gaze-matching method is a reliable approach that can identify the area at which a user is looking. Early methods of gaze tracking required users to wear glasses with a tracking function and limited tracking to a small monitoring area. Additionally, gaze estimation was restricted to a fixed posture within a narrow range. In this study, we proposed a novel non-contact gaze-mapping system that could overcome the physical limitations of previous methods and be applied in real-world environments. Our experimental results demonstrated an average gaze-mapping accuracy of 92.9% across 9 different test environments. Moreover, we introduced the GIST gaze-mapping (GGM) dataset, which served as a valuable resource for learning and evaluating gaze-mapping techniques.
ISSN:2076-3417
2076-3417
DOI:10.3390/app13095374