首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >A Frame Detection Method for Real-Time Hand Gesture Recognition Systems Using CW-Radar
【2h】

A Frame Detection Method for Real-Time Hand Gesture Recognition Systems Using CW-Radar

机译:一种基于连续波雷达的实时手势识别系统的帧检测方法

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

In this paper, a method to detect frames was described that can be used as hand gesture data when configuring a real-time hand gesture recognition system using continuous wave (CW) radar. Detecting valid frames raises accuracy which recognizes gestures. Therefore, it is essential to detect valid frames in the real-time hand gesture recognition system using CW radar. The conventional research on hand gesture recognition systems has not been conducted on detecting valid frames. We took the R-wave on electrocardiogram (ECG) detection as the conventional method. The detection probability of the conventional method was 85.04%. It has a low accuracy to use the hand gesture recognition system. The proposal consists of 2-stages to improve accuracy. We measured the performance of the detection method of hand gestures provided by the detection probability and the recognition probability. By comparing the performance of each detection method, we proposed an optimal detection method. The proposal detects valid frames with an accuracy of 96.88%, 11.84% higher than the accuracy of the conventional method. Also, the recognition probability of the proposal method was 94.21%, which was 3.71% lower than the ideal method.
机译:在本文中,描述了一种检测帧的方法,该方法可以在配置使用连续波(CW)雷达的实时手势识别系统时用作手势数据。检测有效帧会提高识别手势的准确性。因此,在使用CW雷达的实时手势识别系统中检测有效帧至关重要。关于手势识别系统的常规研究尚未在检测有效帧上进行。我们将心电图(ECG)检测中的R波作为常规方法。常规方法的检测概率为85.04%。使用手势识别系统的准确性较低。该提案包括两个阶段,以提高准确性。我们通过检测概率和识别概率来测量手势检测方法的性能。通过比较每种检测方法的性能,我们提出了一种最优的检测方法。该提案检测到的有效帧的准确度为96.88%,比传统方法的准确度高11.84%。此外,该提议方法的识别概率为94.21%,比理想方法低3.71%。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号