Eyeball Kinematics Informed Slippage Robust Gaze Tracking

IF 4.3 2区综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Sensors Journal Pub Date : 2024-10-11 DOI:10.1109/JSEN.2024.3475009

Wei Zhang;Jiaxi Cao;Xiang Wang;Pengfei Xia;Bin Li;Xun Chen

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引用次数: 0

Abstract

Gaze movement is a crucial index of human attention and thus shows great potential in human-computer interaction. Head-mounted devices (HMDs) are developing rapidly and show a great demand for head-mounted gaze-tracking techniques. However, the lack of slippage robustness and excessive calibration time still bother current gaze-tracking systems. This article proposes STARE, a head-mounted real-time gaze tracking system with slippage-robust gaze estimation and minimal calibration. STARE leverages the eyeball kinematics, specifically Listing’s law and Donder’s law, to propose a mapping function for slippage robust gaze estimation that holds physical significance. Our succinct mapping function minimizes personal calibration time to its lowest. The experimental results of 40 subjects demonstrate that our system achieves a mean angular error of

${0}.{71}^{\circ } $

under varying levels of device slippage and decreases the personal calibration time to less than 1 s. STARE outperforms state-of-the-art methods in gaze tracking accuracy and precision. Our system is convenient for practical usage and shows excellent potential for gaze tracking.

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眼球运动学信息滑动鲁棒凝视跟踪

目光移动是人类注意力的重要指标，因此在人机交互中显示出巨大的潜力。头戴式设备（HMD）发展迅速，对头戴式凝视跟踪技术的需求也很大。然而，当前的凝视跟踪系统仍然受到滑动鲁棒性不足和校准时间过长的困扰。本文提出的 STARE 是一种头戴式实时凝视跟踪系统，它具有滑动鲁棒性凝视估计和最小校准功能。STARE 利用眼球运动学，特别是 Listing 定律和 Donder 定律，提出了一种具有物理意义的滑动稳健注视估计映射函数。我们简洁的映射函数将个人校准时间降至最低。40 名受试者的实验结果表明，在不同程度的设备滑动情况下，我们的系统实现了 ${0}.{71}^{\circ } 的平均角度误差。STARE 在注视跟踪的准确性和精确度方面都优于最先进的方法。我们的系统便于实际使用，在凝视跟踪方面显示出卓越的潜力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Sensors Journal 工程技术-工程：电子与电气

CiteScore

7.70

自引率

14.00%

发文量

2058

审稿时长

5.2 months

期刊介绍： The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice