The Application of Improving LB Algorithm in Dynamic Gesture Recognition

HE Xiao-chen; HAN Xie; LI Shun-zeng

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The Application of Improving LB Algorithm in Dynamic Gesture Recognition

更新时间：2026-09-04

- The Application of Improving LB Algorithm in Dynamic Gesture Recognition
- Vol. 33, Issue 4, Pages: 55-59(2016)
- 作者机构：
  
  中北大学机构计算机与控制工程学院,山西,太原,030051
- 作者简介：
- 基金信息：
- DOI：
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- Published：2016
- 稿件说明：
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贺霄琛, 韩燮, 李顺增. 改进的LB算法在动态手势识别中的应用[J]. 微电子学与计算机, 2016, 33(4): 55-59.

HE Xiao-chen, HAN Xie, LI Shun-zeng. The Application of Improving LB Algorithm in Dynamic Gesture Recognition[J]. 2016, 33(4): 55-59.
贺霄琛, 韩燮, 李顺增. 改进的LB算法在动态手势识别中的应用[J]. 微电子学与计算机, 2016, 33(4): 55-59. DOI：

HE Xiao-chen, HAN Xie, LI Shun-zeng. The Application of Improving LB Algorithm in Dynamic Gesture Recognition[J]. 2016, 33(4): 55-59. DOI：

摘要

为了提高动态手势识别中的匹配效率

提出一种改进的LB算法.首先

对采集手势深度信息进行实时分割

并使用一种新的特征提取方法对手势进行描述.然后

引入锚定距离的概念

并将其应用到LB算法当中

同时进行分类和识别.最后

分别对比其他两种相关算法的执行时间

以及改进LB算法的识别率.实验结果表明

提出的方法在不影响识别率的情况下

对算法执行效率有了很大的提升.

Abstract

In order to improve the matching efficiency of dynamic gesture recognition

we have put forward a modified LB algorithm. First of all

we segment the collecting depth information of gesture in real time

and use a new feature extraction method to describe gesture. After that

we introduce the concept of anchor distance

and apply it to the LB algorithm

for simultaneous classification and recognition. Finally

comparing execution time of other two kinds of algorithms respectively and recognition rate of modified LB algorithm. The experiment results show that the method proposed in this article has improved algorithm performance efficiency in the case of having no influence on recognition rate.

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references

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曹雏清, 李瑞峰, 赵立军. 基于深度图像技术的手势识别方法[J]. 计算机工程, 2012, 38(8): 16-18. DOI: 16

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