利用热图像和生理特征模拟人类行为:综述

Christian Hessler, M. Abouelenien
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引用次数: 1

摘要

生理信号提供了一种可靠的方法来识别一个人在任何给定时间点的身体和精神状态。利用多种技术从人体中提取生理信号。然而,这些技术需要个人的联系和合作,以及人工的努力来连接设备和收集所需的测量。热成像为获取这些信号提供了一种非接触的方法。新的应用正在探索如何利用从热图像中提取的生理特征来检测人体生理的细微变化。在本文中,我们提供了应用综述,其中提出了各种创新技术,通过分析热视频来模拟人类行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using Thermal Images and Physiological Features to Model Human Behavior: A Survey
Physiological signals provide a reliable method to identify the physical and mental state of a person at any given point in time. Multiple techniques are used to extract physiological signals from the human body. However, these techniques require contact and cooperation of the individual as well as human effort for connecting the devices and collecting the needed measurement. Thermal imaging provides a non-contact approach for acquiring these signals. New applications are exploring ways to utilize physiological features extracted from thermal images to detect subtle changes in human physiology. In this paper, we provide a review of applications, which propose a variety of innovative techniques to model human behavior by analyzing thermal videos.
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