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相关实验视频

Updated: May 28, 2025

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers
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预先注意的眼神:以眼神为基础的身份验证数据集,具有瞬间的视觉交互.

Junryeol Jeon1, Yeo-Gyeong Noh1, JooYeong Kim1

  • 1Gwangju Institute of Science of Technology, School of Integrated Technology, Gwangju, 61005, Republic of Korea.

Scientific data
|February 13, 2025
PubMed
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本研究介绍了Pre-AttentiveGaze数据集,用于使用眼动快速,个性化识别. 机器学习模型验证了其在以注意力为基础的注视认证前的有效性.

科学领域:

  • 计算机科学 计算机科学
  • 生物识别信息 生物识别信息
  • 人与计算机的交互

背景情况:

  • 基于 Gaze 的身份验证需要快速响应才能实际应用.
  • 现有的方法可能无法充分利用注意前视觉处理的速度.

研究的目的:

  • 引入和验证Pre-AttentiveGaze数据集,以便快速,个性化识别.
  • 探索注意前处理在基于视线认证中的有效性.

主要方法:

  • 在五个会议中从34名参与者收集了76,840个眼动样本.
  • 从收集的数据中提取和预处理的目光特征.
  • 使用机器学习模型验证了数据集.

主要成果:

  • 证明了数据集在根据目光模式区分个人方面的有效性.
  • 展示了使用注意前视觉刺激快速认证的潜力.

结论:

  • 在Pre-AttentiveGaze数据集是有效的以视线为基础的身份验证.
  • 预注意处理具有开发更快的生物识别系统的巨大潜力.

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