基于红外超宽带雷达传感器的手势速度识别与分类

T. J. Daim, R. A. Lee
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引用次数: 1

摘要

人机交互(HCI)是一个术语,指的是一组方法和技术,使人类与机器和计算机连接。基于手势识别(HGR), HCI实现了一种自然发生的非接触式界面,使人类更接近一种更自然的交流方式。许多研究已经确定了基于脉冲无线电超宽带(IR-UWB)雷达传感器的HGR的潜力,作为未来各种应用的推动者。这项工作提出了一种利用IR-UWB雷达传感器识别和分类手势速度的方法。性能测试的结果表明,识别和分类手势速度的信心和准确性非常高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hand Gesture Speed Recognition and Classification using IR-UWB Radar Sensor
Human-computer interaction (HCI) is a term that refers to a set of methods and techniques that enable humans to connect with machines and computers. Based on Hand Gesture Recognition (HGR), HCI enables a naturally occurring contactless interface, bringing humans closer to a more natural way of communication. Numerous studies have identified the potential of Impulse Radio-Ultra Wide Band (IR-UWB) radar sensor-based HGR as a future enabler for a diverse variety of applications. This work presents the development of a method to utilise an IR-UWB radar sensor to recognise and classify hand gesture speeds. The findings of the performance tests reveal a very high degree of confidence and accuracy in recognising and classifying hand gestures speeds.
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