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Wearable Near-Eye Tracking Technologies for Health: A Review.

Authors :
Zhu, Lisen
Chen, Jianan
Yang, Huixin
Zhou, Xinkai
Gao, Qihang
Loureiro, Rui
Gao, Shuo
Zhao, Hubin
Source :
Bioengineering (Basel). Jul2024, Vol. 11 Issue 7, p738. 17p.
Publication Year :
2024

Abstract

With the rapid advancement of computer vision, machine learning, and consumer electronics, eye tracking has emerged as a topic of increasing interest in recent years. It plays a key role across diverse domains including human–computer interaction, virtual reality, and clinical and healthcare applications. Near-eye tracking (NET) has recently been developed to possess encouraging features such as wearability, affordability, and interactivity. These features have drawn considerable attention in the health domain, as NET provides accessible solutions for long-term and continuous health monitoring and a comfortable and interactive user interface. Herein, this work offers an inaugural concise review of NET for health, encompassing approximately 70 related articles published over the past two decades and supplemented by an in-depth examination of 30 literatures from the preceding five years. This paper provides a concise analysis of health-related NET technologies from aspects of technical specifications, data processing workflows, and the practical advantages and limitations. In addition, the specific applications of NET are introduced and compared, revealing that NET is fairly influencing our lives and providing significant convenience in daily routines. Lastly, we summarize the current outcomes of NET and highlight the limitations. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
23065354
Volume :
11
Issue :
7
Database :
Academic Search Index
Journal :
Bioengineering (Basel)
Publication Type :
Academic Journal
Accession number :
178688323
Full Text :
https://doi.org/10.3390/bioengineering11070738