科学研究
学术报告
Design and Development of a Hand Gesture Recognition System for UAV Control
发布时间:2017-01-04浏览次数:

题目:Design and Development of a Hand Gesture Recognition System for UAV Control

报告人:王加存教授 (蒙莫斯大学,美国)

地点:致远楼102室

时间:2017年1月4日(周三)上午10:00

摘要:This presentation introduces the design and development of a hand gesture recognition system for UAV control in which 13 gestures are used. To train the system to recognize these gestures, we use hand skeleton data collected from a Leap Motion device. Adaptive Naïve Bayes Classifier (ANBC) and Support Vector Machines (SVM) are selected as base learning algorithms. An ensemble method is designed to improve the recognition accuracy based on the two selected classifiers. At implementation level, we developed three ROS (Robot Operating System) nodes to accomplish Feature Extraction, Gesture Recognition, and UAV Control functions.

王加存,博士,美国新泽西蒙莫斯大学计算机科学与软件工程系终身教授,研究生项目主任。出版专著,参考书和教材各一部,发表论文80余篇。 国际智能控制与系统学报副主编, 国际离散事件系统与控制学报副主编,IEEE 系统,人与控制学会组织与计划委员会秘书。曾任IEEE 系统,人与控制学报副主编,IEEE 新泽西海岸分部学生工作委员会主席,蒙莫斯大学系主任和教授会理事。

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