Research of Human Gesture Recognition Algorithm Based on Multi-layer Perceptron

被引：2
|
作者：
Wei, Xiaojuan [1 ]
Wang, Mingling [1 ]
Xiao, Liyi [2 ]
机构：
[1] Harbin Inst Technol, Shenzhen, Peoples R China
[2] Harbin Inst Technol, Harbin, Heilongjiang, Peoples R China
来源：
GREEN ENERGY AND SUSTAINABLE DEVELOPMENT I | 2017年 / 1864卷
关键词：
Human Gesture Recognition; Multi-layer Perceptron; Back-propagation Artificial Neural Network;
D O I：
10.1063/1.4992963
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
This paper mainly introduces the research of human body state recognition technology based on multi-layer perceptron. By using the application environment of ASUS Xtion pro live infrared camera, this paper focuses on the daily behavior recognition of human body in small area. First is the depth image analysis, this paper extracts the characteristics of the postures that need to be classified and we need a large number of samples. Then the collected samples are trained and classified by the multi-layer perceptron model. Finally, the human state collected by the camera can be identified in real time.
引用
收藏
页数：9
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