Multi-User Eye-Tracking

被引：5

作者：

Mahanama, Bhanuka ^{[1
]}

机构：

[1] Old Dominion Univ, Norfolk, VA 23529 USA

来源：

2022 ACM SYMPOSIUM ON EYE TRACKING RESEARCH AND APPLICATIONS, ETRA 2022 | 2022年

基金：

美国国家科学基金会;

关键词：

Eye Tracking; Multi-user; Gaze Tracking; Deep Learning;

D O I：

10.1145/3517031.3532197

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The human gaze characteristics provide informative cues on human behavior during various activities. Using traditional eye trackers, assessing gaze characteristics in the wild requires a dedicated device per participant and therefore is not feasible for large-scale experiments. In this study, we propose a commodity hardware-based multi-user eye-tracking system. We leverage the recent advancements in Deep Neural Networks and large-scale datasets for implementing our system. Our preliminary studies provide promising results for multi-user eye-tracking on commodity hardware, providing a cost-effective solution for large-scale studies.

引用

页数：3

共 20 条

[1] Estimation of behavioral user state based on eye gaze and head pose-application in an e-learning environment [J].

Asteriadis, Stylianos ;

Tzouveli, Paraskevi ;

Karpouzis, Kostas ;

Kollias, Stefanos .

MULTIMEDIA TOOLS AND APPLICATIONS, 2009, 41 (03) :469-493

[2]

De Silva S, 2019, 2019 MORATUWA ENGINEERING RESEARCH CONFERENCE (MERCON) / 5TH INTERNATIONAL MULTIDISCIPLINARY ENGINEERING RESEARCH CONFERENCE, P538, DOI [10.1109/mercon.2019.8818865, 10.1109/MERCon.2019.8818865]

[3] RT-GENE: Real-Time Eye Gaze Estimation in Natural Environments [J].

Fischer, Tobias ;

Chang, Hyung Jin ;

Demiris, Yiannis .

COMPUTER VISION - ECCV 2018, PT X, 2018, 11214 :339-357

[4]

Guo SY, 2018, I S BIOMED IMAGING, P1144, DOI 10.1109/ISBI.2018.8363773

[5]

Kartynnik Y., 2019, CVPR WORKSH COMP VIS

[6] Gaze360: Physically Unconstrained Gaze Estimation in the Wild [J].

Kellnhofer, Petr ;

Recasens, Adria ;

Stent, Simon ;

Matusik, Wojciech ;

Torralba, Antonio .

2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019), 2019, :6911-6920

[7] Eye Tracking for Everyone [J].

Krafka, Kyle ;

Khosla, Aditya ;

Kellnhofer, Petr ;

Kannan, Harini ;

Bhandarkar, Suchendra ;

Matusik, Wojciech ;

Torralba, Antonio .

2016 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2016, :2176-2184

[8] Analyzing Unconstrained Reading Patterns of Digital Documents Using Eye Tracking [J].

Mahanama, Bhanuka ;

Jayawardena, Gavindya ;

Jayarathna, Sampath .

2021 ACM/IEEE JOINT CONFERENCE ON DIGITAL LIBRARIES (JCDL 2021), 2021, :282-283

[9]

Michalek Anne MP, 2019, Computational Models for Biomedical Reasoning and Problem Solving, P66

[10]

Mutlu B., 2009, 2009 4th ACM/IEEE International Conference on Human-Robot Interaction (HRI), P61

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