Identifying Muscle Fatigue and Hyperthermia in Sports Activities Using Thermal Imaging and Facial Recognition Software

Christopher G. Harris
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Abstract

Hyperthermia and muscle fatigue during sports activities are a challenge to detect because body temperatures cannot be unobtrusively evaluated from the field of play. Recently, inexpensive portable thermal imaging devices have become available, allowing accurate monitoring of players from a distance. In this paper, we examine the accuracy of thermal imaging devices by distance and monitoring angle. Using thermal imaging, object recognition, and facial recognition techniques, we develop a visualization tool to display core body temperature information for each player. This augmented display allows us to detect potential heat-related player injuries on a sports field in near real time.
利用热成像和面部识别软件识别运动中的肌肉疲劳和热疗
在体育活动中,体温过高和肌肉疲劳是一项难以检测的挑战,因为体温不能在运动场上进行不显眼的评估。最近,廉价的便携式热成像设备已经出现,可以从远处精确地监测球员。本文通过距离和监测角度对热成像装置的精度进行了检验。利用热成像、物体识别和面部识别技术,我们开发了一个可视化工具来显示每个球员的核心体温信息。这种增强显示器使我们能够在接近实时的情况下检测到运动场上潜在的与热有关的球员受伤。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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