Design of gesture recognition system based on Deep Learning

被引：0
|
作者：
Niu, Qiya [1 ]
Teng, Yunlai [1 ]
Chen, Lin [1 ]
机构：
[1] Beijing Univ Posts & Telecommun, Int Sch, Beijing 100876, Peoples R China
来源：
2018 INTERNATIONAL CONFERENCE ON COMPUTER INFORMATION SCIENCE AND APPLICATION TECHNOLOGY | 2019年 / 1168卷
关键词：
D O I：
10.1088/1742-6596/1168/3/032082
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
The rapid development of computer vision has had a significant impact on all areas of life. Real-time image capture using computer images for small movements has strong utility in some areas of life. Based on the EgoHands dataset, this paper uses the SSD detection method and the MobileNet neural network to establish a recognition model for students' gestures. In the end, the model adopted in this paper achieved a score of 96.86% for mAP.
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页数：6
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