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作 者:王琪 李莹 WANG Qi;LI Ying(Shangluo Traditional Chinese Medicine Hospital,Shangluo Shaanxi 726000,China;Xi’an Mental Health Center,Xi’an 710061,China)
机构地区:[1]商洛市中医医院,陕西商洛726000 [2]西安市精神卫生中心,西安710061
出 处:《自动化与仪器仪表》2025年第1期264-267,272,共5页Automation & Instrumentation
基 金:陕西省教育厅2019专项研究课题《积极心理学视域下服刑人员心理疏导与行为矫正研究》(19JK0246)。
摘 要:随着信息技术的发展,视线追踪技术广泛地应用于日常生活的各个领域。为应对当前人们对高标准现代化生活的需求,视线追踪技术将研究重点放在了高准确度和高鲁棒性两方面上。因此,研究基于可穿戴式心理眼动仪,对视线追踪技术展开研究,提出了一种适用于不同深度场景的三维注视点预测模型,该方法利用坐标系间的转换构建三维眼球模型,计算人体眼球的光轴矢量,进而预测三维注视点。实验结果显示基于三维注视向量的注视点预测模型最优精度为0.49,平均精度为0.92,优于传统算法。结果表明研究构建的视线追踪模型能够准确地实时估计不同深度场景下的注视点位置,这在需要实时实现视线追踪的生活领域中有重要的应用价值。The current line of sight tracking technology has matured and been applied in various fields of life due to the rapid development of information technology.In response to the current demand for high standard modern living,gaze tracking technology has focused research on two aspects:high accuracy and high robustness.Therefore,based on wearable psychological eye tracking devices,a study was conducted on gaze tracking technology,and a 3D gaze prediction model suitable for different depth scenes was proposed.This method uses the transformation between coordinate systems to construct a 3D eye model,calculates the optical axis vector of the human eye,and then predicts the 3D gaze point.The experimental results show that the optimal accuracy of the fixation point prediction model based on three-dimensional fixation vectors is 0.49,with an average accuracy of 0.92,which is better than traditional algorithms.The results indicate that the constructed gaze tracking model can accurately predict gaze points in different depth scenes,achieve real-time prediction of the current gaze point coordinates of the experimenter,and has important application value in the field of real-time gaze tracking.
分 类 号:F407.67[经济管理—产业经济] TP23[自动化与计算机技术—检测技术与自动化装置]
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