使用超声波的手势识别

M. Alsharif, M. Saad, T. Al-Naffouri
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引用次数: 3

摘要

本文提出了一种新的方法来检测和分类一组预定义的手势使用一个单一的发射器和一个单一的接收器利用线性调频超声信号。手势识别基于估计范围和接收到的信号强度(RSS)的反射信号的手。使用支持向量机(SVM)进行手势检测和分类。利用实验装置对系统进行了测试,平均准确率达到88%。
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 Recognition Using Ultrasonic Waves
This paper presents a new method for detecting and classifying a predefined set of hand gestures using a single transmitter and a single receiver utilizing a linearly frequency modulated ultrasonic signal. Gestures are identified based on estimated range and received signal strength (RSS) of reflected signal from the hand. Support Vector Machine (SVM) was used for gesture detection and classification. The system was tested using experimental setup and achieved an average accuracy of 88%.
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