Knowledge Commons of Institute of Automation,CAS
Deep Learning Based Hand Gesture Recognition and UAV Flight Controls | |
Bin Hu; Jiacun Wang | |
发表期刊 | International Journal of Automation and Computing |
ISSN | 1476-8186 |
2020 | |
卷号 | 17期号:1页码:17-29 |
摘要 | Dynamic hand gesture recognition is a desired alternative means for human-computer interactions. This paper presents a hand gesture recognition system that is designed for the control of flights of unmanned aerial vehicles (UAV). A data representation model that represents a dynamic gesture sequence by converting the 4-D spatiotemporal data to 2-D matrix and a 1-D array is introduced. To train the system to recognize designed gestures, skeleton data collected from a Leap Motion Controller are converted to two different data models. As many as 9 |
关键词 | Deep learning neural networks hand gesture recognition Leap Motion Controllers drones. |
DOI | 10.1007/s11633-019-1194-7 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/42307 |
专题 | 学术期刊_Machine Intelligence Research |
作者单位 | Monmouth University, West Long Branch, NJ 07764, USA |
推荐引用方式 GB/T 7714 | Bin Hu,Jiacun Wang. Deep Learning Based Hand Gesture Recognition and UAV Flight Controls[J]. International Journal of Automation and Computing,2020,17(1):17-29. |
APA | Bin Hu,&Jiacun Wang.(2020).Deep Learning Based Hand Gesture Recognition and UAV Flight Controls.International Journal of Automation and Computing,17(1),17-29. |
MLA | Bin Hu,et al."Deep Learning Based Hand Gesture Recognition and UAV Flight Controls".International Journal of Automation and Computing 17.1(2020):17-29. |
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IJAC-AC-2019-03-052.(1357KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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