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眼动跟踪研究进展与展望
引用本文:苟超,卓莹,王康,王飞跃.眼动跟踪研究进展与展望[J].自动化学报,2022,48(5):1173-1192.
作者姓名:苟超  卓莹  王康  王飞跃
作者单位:1.中山大学智能工程学院 深圳 518107 中国
基金项目:国家自然科学基金(61806198);;深圳科技计划项目(RCBS20200714114920272)资助~~;
摘    要:眼动跟踪是指自动检测瞳孔中心位置或者识别三维视线方向及注视点的过程, 被广泛应用于人机交互、智能驾驶、人因工程等. 由于不同场景下的光照变化、个体眼球生理构造差异、遮挡、头部姿态多样等原因, 眼动跟踪的研究目前仍然是一个具有挑战性的热点问题. 针对眼动跟踪领域,首先概述眼动跟踪研究内容, 然后分别论述近年来瞳孔中心检测及视线估计领域的国内外研究进展, 综述目前眼动跟踪主要数据集、评价指标及研究成果, 接着介绍眼动跟踪在人机交互、智能驾驶等领域的应用, 最后对眼动跟踪领域的未来发展趋势进行展望.

关 键 词:眼动跟踪    人眼检测    视线估计    注意力分析
收稿时间:2021-06-08

Research Advances and Prospects of Eye Tracking
Affiliation:1.School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen 518107, China2.Nvidia, Santa Clara 95051, USA3.The State Key Laboratory for Management and Control of Complex System, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
Abstract:Eye tracking is a process of automatically detecting the location of pupil or recognizing the gaze direction and gaze point, and is widely used in human-computer interaction, intelligent driving, ergonomics, and so on. Eye tracking is still a challenging and hot topic due to the changes of illumination, the differences of individual eyeball physiological structure, occlusion, and the diversity of head pose. In this paper, we focus on the study of eye tracking. Firstly, we give an introduction of eye tracking, followed by discussing the research progress of pupil detection and gaze estimation in recent years. Then, we review the datasets and evaluation metrics with results, followed by introducing the application of eye tracking in human-computer interaction, intelligent driving and other fields. Finally, the future trends of eye tracking are discussed.
Keywords:
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