Online nod detection in human-robot interaction
Online nod detection in human-robot interaction
复制标题
人机交互中的在线点头检测
DOI：
10.1109/roman.2017.8172396
复制
发表时间：
2017
期刊：
影响因子：
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通讯作者：
F. Kummert
中科院分区：
文献类型：
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作者：
Eduard Wall;Lars Schillingmann;F. Kummert
点头是人类交流中的一个重要因素，为社交行为提供了身体暗示，如轮流，反向引导和确认。在这篇文章中，我们描述了一个基于视觉的在线点头检测器，与单目摄像机图像。使用SVM回归，我们的系统估计头部姿势的基础上面部标志。然后使用后续动态时间规整来比较头部姿势特征与节点模板。与许多其他以前的实现相比，我们的系统与研究参与者进行了评估，这些参与者没有被指示通过点头进行回复，并且在保持低误报率的同时显示出良好的结果。
Nodding is an important factor in human communication, providing a physical cue for socially communicative acts such as turn taking, backchanneling, and confirmation. In this article, we describe a vision-based online head nodding detector that works with monocular camera images. Using SVM regression, our system estimates the head pose based on facial landmarks. Subsequence dynamic time-warping is then used to compare head pose features against nod templates. In contrast to many other previous implementations, our system was evaluated with study participants who were not instructed to reply by nodding, and shows good results while maintaining a low false positive rate.