基于头部姿态估计的教师注意力测量

Wan Shuo, Chen Zengzhao, Wang Mengke, Shi Yawen, Zhu Shenghu
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引用次数: 0

摘要

教师的注意力在引导学生注意力、与学生沟通等方面起着重要的作用。对教师的注意力进行非侵入性测量是一项具有挑战性的任务。本文首先给出了该任务的定义,并提出了一种基于头部姿态估计的视频中教师注意力测量的具体方法。该方法通过将视频中的头部图像信息输入到Hopenet中获取头部姿态信息,根据俯仰角的正切函数确定凝视点常数,根据凝视线和凝视点范围计算教师的注意力。实验结果表明,该方法具有较高的准确率,接近人类识别水平。
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Teacher Attention Measurement Based on Head Pose Estimation
Teachers’ attention plays an important role in guiding students’ attention and communicating with students. It is a challenging task to measure teachers’ attention non intrusively. This paper first gives the definition of this task, and proposes a specific method to measure teachers’ attention in a given video based on head pose estimation. This method obtains the head posture information by inputting the head image information in the video into the Hopenet, determines the gaze point constant based on the tangent function of the pitch angle, and calculates the teacher’s attention based on the line of gaze and the gaze point range. The experimental results show that the method has high accuracy and is close to human recognition level.
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