基于IR-UWB雷达传感器的人体运动检测奇异值确定

T. J. Daim, R. A. Lee
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引用次数: 3

摘要

人体运动检测是结合各种技术和设备来区分人体运动的一种识别方法。近年来,利用红外超宽带雷达传感器进行识别已成为一个令人兴奋的研究领域。原始形式的输出数据,没有经过IR-UWB雷达传感器的任何处理,不能有一个单一的值来区分人手的快速和缓慢运动。因此,需要一种输出数据处理算法来生成所需的奇异值。本文提出了一种基于传感器产生的原始输出数据的奇异值评估方法,以准确地对人手的快、慢运动进行分类。结果表明,该方法能够准确地区分手部运动的快慢。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Singular Value Determination for IR-UWB Radar Sensor-Based Human Motion Detection
Human motion detection is a method of identification where various techniques and equipment are combined to distinguish human motion. Recently, recognition with IR-UWB radar sensor has become an exciting area of study. The output data in its original form, without any processing as produced by the IR-UWB radar sensor, cannot have a singular value to be used to differentiate the fast and slow movement of a human hand. There is, therefore, a need for an output data processing algorithm that generates the required singular value. This paper proposes a method for evaluating the singular value based on the original output data produced by the sensor to accurately classify human motion in fast and slow movement of the human hand. The results of the proposed method are encouraging in which fast and slow hand movement can be distinguished accurately.
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