标题:Optimization of deep neural network based hand gesture classification model for large-scale dataset
作者:Yu, Jie ;Xu, Tao ;Feng, Zhiquan ;Wang, Weifeng ;Ma, Li ;Diao, Xinyi
通讯作者:Xu, Tao
作者机构:[Yu, Jie ;Xu, Tao ;Feng, Zhiquan ;Wang, Weifeng ;Ma, Li ;Diao, Xinyi ] School of Information Science and Engineering, University of Jinan, Jinan; 2500 更多
会议名称:2nd International Conference on Big Data Technologies, ICBDT 2019
会议日期:August 28, 2019 - August 30, 2019
来源:ACM International Conference Proceeding Series
出版年:2019
页码:1-5
DOI:10.1145/3358528.3358571
摘要:Hand gesture classification is a key step of gesture based human-computer interaction. The hand gesture dataset with depth information is increasing faster which brings challenges for deep neural network-based hand gesture classification model, such as data loading of big gesture data, optimization of model and visualization of training stage. In this paper, an optimization method of deep neural network-based hand gesture classification model for large-scale dataset is proposed, which improves the efficiency of data loading and makes the model have better time complexity and space complexity. Experimental results show that the proposed optimization method can effectively improve the training efficiency of classification model for large gesture data sets, and make classification models easy to train in a unified framework, which provides a good foundation for the research of hand gesture classification model.
© 2019 Association for Computing Machinery.
收录类别:EI
资源类型:会议论文
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