中国科学院深圳先进技术研究院机构知识库(SIAT OpenIR): Smart Elevator Cotrol System Based On Human Hand Gesture Recognition
SIAT OpenIR  > 南沙所
Smart Elevator Cotrol System Based On Human Hand Gesture Recognition
Shangzhi Le; Qujiang Lei; Xiangying Wei; Jiahao Zhong; Yuhe Wang; Jimin Zhou; Weijun Wang
2020
Conference Name2020 IEEE 6th International Conference on Computer and Communications (ICCC)
Conference Date2020
Conference Place四川
AbstractThe rapid development of computer vision technology makes human-computer interaction possible, which has a wide range of application prospects. In this paper, we propose a gesture recognition system that can be applied to the operation of smart elevators. It can recognize different gestures of people without touching the buttons and reach the designated floor. The training data set used to train the hand gesture recognition consists of pictures and real-time frames taken by the camera. We utilize gesture segmentation, gesture tracking and other methods to preprocess the image. Then we use CNN to train the preprocessed pictures. At last, We design the user interface for computer and human interaction. The experiment shows 98.1% accuracy of static images.
Department南沙所-机器人中心
Indexed ByEI
Language英语
Document Type会议论文
Identifierhttp://ir.siat.ac.cn/handle/172644/18355
Collection南沙所
Recommended Citation
GB/T 7714
Shangzhi Le,Qujiang Lei,Xiangying Wei,et al. Smart Elevator Cotrol System Based On Human Hand Gesture Recognition[C],2020.
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