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首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >An Investigation on the Feasibility of Uncalibrated and Unconstrained Gaze Tracking for Human Assistive Applications by Using Head Pose Estimation
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An Investigation on the Feasibility of Uncalibrated and Unconstrained Gaze Tracking for Human Assistive Applications by Using Head Pose Estimation

机译：利用头部姿态估计进行无标定和无约束注视追踪在人类辅助应用中的可行性的研究

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摘要

This paper investigates the possibility of accurately detecting and tracking human gaze by using an unconstrained and noninvasive approach based on the head pose information extracted by an RGB-D device. The main advantages of the proposed solution are that it can operate in a totally unconstrained environment, it does not require any initial calibration and it can work in real-time. These features make it suitable for being used to assist human in everyday life (e.g., remote device control) or in specific actions (e.g., rehabilitation), and in general in all those applications where it is not possible to ask for user cooperation (e.g., when users with neurological impairments are involved). To evaluate gaze estimation accuracy, the proposed approach has been largely tested and results are then compared with the leading methods in the state of the art, which, in general, make use of strong constraints on the people movements, invasive/additional hardware and supervised pattern recognition modules. Experimental tests demonstrated that, in most cases, the errors in gaze estimation are comparable to the state of the art methods, although it works without additional constraints, calibration and supervised learning.
机译：本文研究了一种基于RGB-D设备提取的头部姿势信息的无约束且无创性方法，可以准确地检测和跟踪人的视线。提出的解决方案的主要优点是它可以在完全不受限制的环境中运行，不需要任何初始校准，并且可以实时工作。这些功能使其适合用于在日常生活中（例如，远程设备控制）或特定动作（例如，康复）以及在不可能请求用户合作的所有那些应用中为人类提供帮助（例如， ，当涉及到具有神经功能障碍的用户时）。为了评估凝视估计的准确性，已对提出的方法进行了广泛的测试，然后将结果与现有技术中的领先方法进行了比较，该方法通常利用对人员移动，侵入性/附加硬件和监督人员的严格约束模式识别模块。实验测试表明，在大多数情况下，凝视估计中的误差可与现有方法相媲美，尽管它的工作不受附加约束，校准和监督学习的影响。

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