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立即交互驱动的自适应性凝视控制接口.

Kun Qian1, Tomoki Arichi2, A David Edwards2

  • 1King's College London, Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, London, SE1 7EH, UK. kun.qian@kcl.ac.uk.

Scientific reports
|May 22, 2024
PubMed
概括
此摘要是机器生成的。

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这项研究引入了一种用于人与计算机交互 (HCI) 视线估计的新方法,该方法在没有校准的情况下立即工作. 这种方法使得基于凝视的强大可靠的HCI系统能够得到更广泛的应用.

科学领域:

  • 人与计算机的交互
  • 计算机视觉 计算机视觉
  • 生物医学工程 生物医学工程

背景情况:

  • 凝视估计显示了HCI的前景,但面临着可用性和稳定性挑战.
  • 目前的系统通常需要用户特定的校准,限制了即时应用.
  • 现场视频流和眼部特征检测是当前凝视跟踪的关键组成部分.

研究的目的:

  • 开发基于凝视的HCI系统,可以在没有明确设置的情况下立即和稳定地运行.
  • 探索结合多个学科特征并取代学科特定校准的策略.
  • 为了实现最先进的目光估计准确度,可靠的HCI.

主要方法:

  • 专注于直播视频流来跟踪眼睛的运动,并从面部特征推断目光.
  • 使用先前的模型,探索局部坐标来源以提取特征和启动系统.
  • 实现一个具有交互式用户界面的自适应性目光估计模型.

主要成果:

  • 以地方坐标来源为参考的功能可以实现可靠的,立即操作.
  • 在测试过程中,自适应模型实现了0.7°的75百分点视线误差,以及1.7°的最大误差.
  • 这些结果代表了HCI的目光估计最先进的性能.

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结论:

  • 简单的策略可以在没有明确的设置的情况下实现强大的,立即的基于视线的HCI.
  • 适应模型与局部坐标引用相结合,可提供连续且准确的目光估计.
  • 这项工作为新一代可靠的基于视线的HCI系统铺平了道路.