A Gesture Recognition Method Based on Interval Distribution Probability

被引：0
|
作者：
Zhou, Song-Bin [1 ]
Lu, Shan-Dan [1 ,2 ]
Li, Chang [1 ]
机构：
[1] Guangdong Inst Automat, Guangdong Prov Key Lab Modern Control Technol, Modern Control & Light Mech & Elect Technol Publ, Guangzhou, Guangdong, Peoples R China
[2] Guangdong Univ Technol, Automat Coll, Guangzhou, Guangdong, Peoples R China
来源：
2015 International Conference on Software Engineering and Information System (SEIS 2015) | 2015年
关键词：
Gesture recognition; Infrared sensing technology; Interval distribution probability;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In view of the online real-time and the efficiency of the present methods of gesture recognition, this paper proposes a gesture recognition method based on interval probability probability. By using the infrared sensing technology to get the infrared reflection data of gestures, come pretreatment, establishes interval distribution probability feature templates according to their motion features. Finally, it makes a classification of the gestures and shows the output by using KNN. Via the experiments to identify 8 kinds of common gestures, the average recognition rate is up to 94.5%. As the experiments indicated, the system has the advantages of simple operation, low cost and can be used for a variety of intelligent interaction applications.
引用
收藏
页码：731 / 737
页数：7
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