调频连续波雷达在视障触觉显示器上的手势识别

IF 6.8 Q1 AUTOMATION & CONTROL SYSTEMS

Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) Pub Date : 2025-02-15 DOI:10.1002/aisy.202570009

Ahmed Hamza, Santosh Kumar Prabhulingaiah, Pegah Pezeshkpour, Bastian E. Rapp

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引用次数: 0

摘要

在第2400663号文章中，Pegah Pezeshkpour和他的同事展示了一个使用盲文显示雷达传感器的手势识别应用程序。从原始数据中提取距离-时间图和速度-时间图，并以谱图的形式进行处理。采用支持向量机和卷积神经网络方法，对10种手势进行了分类，检测准确率较高。

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 Recognition Using Frequency-Modulated Continuous Wave Radar on Tactile Displays for the Visually Impaired

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Hand Gesture Recognition Using Frequency-Modulated Continuous Wave Radar on Tactile Displays for the Visually Impaired

Hand Gesture Recognition

In article number 2400663, Pegah Pezeshkpour and co-workers present a hand gesture recognition application using a radar sensor for Braille displays. The range-time and velocity-time maps were extracted from the raw data and were processed in the form of spectrogram images. Using support vector machines and convolutional neural network approaches, ten hand gestures were successfully classified with high detection accuracy.

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来源期刊

Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)

CiteScore

1.30

自引率

0.00%

发文量

审稿时长

4 weeks