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

被引：1
|
作者：
Ahn, Hoyeon [1 ]
Jeon, Jiwon [2 ]
Ko, Donghwuy [3 ]
Gwak, Jeonghwan [4 ]
Jeon, Moongu [1 ]
机构：
[1] Gwangju Inst Sci & Technol, Sch Elect Engn & Comp Sci, Gwangju 61005, South Korea
[2] TmaxTibero, 258 Hwangsaeul ro, Seongnam 13595, South Korea
[3] AhnLab Inc, 220 Pangyoyeok ro, Seongnam 13493, South Korea
[4] Korea Natl Univ Transportat, Dept Software, Chungju 27469, South Korea
来源：
APPLIED SCIENCES-BASEL | 2023年 / 13卷 / 09期
关键词：
human-computer interaction; gaze mapping; facial detection; facial recognition;
D O I：
10.3390/app13095374
中图分类号：
O6 [化学];
学科分类号：
0703 ;
摘要：
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.
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页数：15
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