A Recognition Method of Misjudgment Gesture Based on Convolutional Neural Network

被引：0
|
作者：
Sun, Kaiyun [1 ]
Feng, Zhiquan [1 ]
Ai, Changsheng [1 ]
Li, Yingjun [1 ]
Wei, Jun [1 ]
Yang, Xiaohui [1 ]
Guo, Xiaopei [1 ]
机构：
[1] Univ Jinan, Jinan 250022, Shandong, Peoples R China
来源：
2017 INTERNATIONAL CONFERENCE ON VIRTUAL REALITY AND VISUALIZATION (ICVRV 2017) | 2017年
基金：
中国国家自然科学基金;
关键词：
Convolutional Neural Network; Confusion gesture; Probability Statistics;
D O I：
10.1109/ICVRV.2017.00062
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Based on the Kinect 2.0, 17 kinds of static gesture libraries were established and trained by Convolutional Neural Network. A lot of statistical experiments have been done on the classification of each gesture. During the experiment, we found a phenomenon that several gestures in the 17 gestures were easily confused. And for the sake of description, we call these gestures as similarity gestures. It is assumed that the test result of convolutional neural network model satisfies the large number theorem from the angle of large data. Therefore, For misjudgment gestures, this paper presents a recognition method based on probability statistics.
引用
收藏
页码：272 / 273
页数：2
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