福建电脑2024，Vol.40Issue(6)：34-39,6.DOI:10.16707/j.cnki.fjpc.2024.06.006
视觉基础下的手势识别研究
Research on Gesture Recognition based on Vision
李佳庆 1雷蕾 2白一帆3
作者信息
- 1. 山西经济管理干部学院 太原 030024
- 2. 山西城市职业技术学院 太原 030027
- 3. 北方自动控制技术研究所 太原 030006
- 折叠
摘要
Abstract
Gesture recognition is a very important part of human-computer interaction.In order to accurately recognize gestures,this paper studies gesture recognition algorithms.Firstly,the circular truncation method and length judgment method are used to extract key features,and then the motion information is used for comprehensive analysis of region division and gesture construction.The algorithm is mainly divided into three stages:ROI region extraction,key feature extraction,and gesture modeling.The test results of 5 gestures show that the algorithm has high recognition accuracy for the 5 gestures.关键词
手势识别/特征提取/算法/识别模型Key words
Gesture Recognition/Feature Extraction/Algorithm/Identification Model分类
信息技术与安全科学引用本文复制引用
李佳庆,雷蕾,白一帆..视觉基础下的手势识别研究[J].福建电脑,2024,40(6):34-39,6.
