An End-to-End Review of Gaze Estimation and its Interactive Applications on Handheld Mobile Devices

Autor:	Lei, Yaxiong, He, Shijing, Khamis, Mohamed, Ye, Juan
Rok vydání:	2023
Předmět:	Computer Science - Human-Computer Interaction Computer Science - Computer Vision and Pattern Recognition H.5
Zdroj:	ACM Comput. Surv. 1, 1, Article 1 (January 2023), 37 pages
Druh dokumentu:	Working Paper
DOI:	10.1145/3606947
Popis:	In recent years we have witnessed an increasing number of interactive systems on handheld mobile devices which utilise gaze as a single or complementary interaction modality. This trend is driven by the enhanced computational power of these devices, higher resolution and capacity of their cameras, and improved gaze estimation accuracy obtained from advanced machine learning techniques, especially in deep learning. As the literature is fast progressing, there is a pressing need to review the state of the art, delineate the boundary, and identify the key research challenges and opportunities in gaze estimation and interaction. This paper aims to serve this purpose by presenting an end-to-end holistic view in this area, from gaze capturing sensors, to gaze estimation workflows, to deep learning techniques, and to gaze interactive applications. Comment: 37 Pages, Paper accepted by ACM Computing Surveys
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2307.00122 Zobrazit plný text záznamu Plný text ve formátu PDF