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    科学领域:

    • 认知科学 认知科学
    • 人与计算机的交互
    • 心理生理学 心理生理学

    背景情况:

    • 积极的视觉注意力 (AVA) 对人类行为和心理生理学研究至关重要.
    • 目前的眼睛追踪方法昂贵,并且由于视频录制而引发隐私问题.
    • 需要可访问,实时的AVA测量解决方案.

    研究的目的:

    • 开发一种廉价且保护隐私的方法来测量主动视觉注意力 (AVA).
    • 使用 rate变化率 (BRV) 作为AVA评估的关键指标.
    • 通过使用标准网络摄像头实现实时AVA监控.

    主要方法:

    • 使用笔记本电脑摄像头/网络摄像头来捕获视觉数据.
    • 估计头部姿势用于摄像头对齐和屏幕凝视检测.
    • 使用眼视角比 (EAR) 来检测眼并构建BRV信号,计算了特定主体的值.
    • 通过仅保存 EAR 值而不是面部视频来确保隐私.

    主要成果:

    • 开发了一种基于眼率变化率 (BRV) 的新型主动视觉注意力 (AVA) 评分.
    • 在不同参与者中证明了AVA得分的稳定性.
    • 在不同的环境光线条件和遮蔽条件下 (例如眼镜) 验证了分数的可靠性.

    结论:

    • 闪率可变性 (BRV) 为AVA测量提供了一个可行的,低成本和隐私意识的替代方案.
    • 提出的方法适用于实时应用和各种环境条件.
    • 这种技术提高了心理生理学和人类行为研究的可访问性.