Low-resolution Face Recognition and Sports Training Action Analysis based on Wireless Sensors

被引：0
|
作者：
Chen S. [1 ]
机构：
[1] JiangXi University Of Engineering, JiangXi, Xinyu
来源：
Computer-Aided Design and Applications | 2023年 / 20卷 / S12期
关键词：
action analysis; face recognition; low resolution; physical training; Wireless sensor;
D O I：
10.14733/cadaps.2023.S12.152-171
中图分类号：
学科分类号：
摘要：
In order to improve the accuracy of sports training action analysis, this paper combines wireless sensor technology and low-resolution recognition technology to construct a low-resolution face recognition and sports training action analysis system based on wireless sensors. The use of intelligent statistical features to construct a dictionary can reduce the dimension of the dictionary and improve the speed of feature detection. Moreover, intelligent feature recognition has the characteristics of spatial locality, direction selectivity and illumination invariance, which makes the constructed dictionary more robust to the influence of illumination and noise, thereby improving the recognition rate. The simulation study shows that the low-resolution face recognition and sports training action analysis system based on wireless sensors proposed in this paper has good practical results. © 2023 CAD Solutions, LLC.
引用
收藏
页码：152 / 171
页数：19
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