@inproceedings{83b31eacbaaf46eb9be936b0513871f0,
title = "Face and Gesture Recognition Based on CNN and CPM Model",
abstract = "In the autonomous motion control of unmanned equipment, in order to make the control more precise and efficient, in addition to the automatic operation of unmanned system, it is also necessary to introduce a certain amount of human-computer interaction. In this paper, by calculating the control requirements of unmanned equipment in specific cases and comparing with existing technologies, a gesture recognition pro-gram is established. The results show that it is feasible to control the movement of unmanned equipment through gesture recognition technology. Moreover, gesture control has the advantages of high accuracy, simplicity and efficiency, and can control multiple unmanned equipment in real time.",
keywords = "Algorithm Program, Gesture Recognition Technology",
author = "Xinyu Xiang and Ping Zhang and Qiang Yuan and Renping Li and Runqiao Hu and Ke Li",
note = "Publisher Copyright: {\textcopyright} 2022 The authors and IOS Press.; 2nd International Conference on Applied Mathematics, Modeling and Computer Simulation, AMMCS 2022 ; Conference date: 13-08-2022 Through 14-08-2022",
year = "2022",
month = dec,
day = "6",
doi = "10.3233/ATDE221137",
language = "英语",
series = "Advances in Transdisciplinary Engineering",
publisher = "IOS Press BV",
pages = "1108--1116",
editor = "Chi-Hua Chen and Andrea Scapellato and Alessandro Barbiero and Korzun, \{Dmitry G.\}",
booktitle = "Moving Integrated Product Development to Service Clouds in the Global Economy - Proceedings of the 21st ISPE Inc. International Conference on Concurrent Engineering, CE 2014",
address = "荷兰",
}