Online control programming algorithm for human-robot interaction system with a novel real-time human gesture recognition method

doi:10.1177/1729881419861764

IMR OpenIR

	Online control programming algorithm for human-robot interaction system with a novel real-time human gesture recognition method
	Chen, Bo 1,2,3; Hua, Chunsheng 4; Dai, Bo 1,2,3; He, Yuqing 1,2; Han, Jianda 5
通讯作者	Hua, Chunsheng(huachunsheng@gmail.com)
	2019-07-05
发表期刊	INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS
ISSN	1729-8814
卷号	16 期号:4 页码:18
摘要	This article proposes an online control programming algorithm for human-robot interaction systems, where robot actions are controlled by the recognition results of gestures performed by human operators based on visual images. In contrast to traditional robot control systems that use pre-defined programs to control a robot where the robot cannot change its tasks freely, this system allows the operator to train online and replan human-robot interaction tasks in real time. The proposed system is comprised of three components: an online personal feature pretraining system, a gesture recognition system, and a task replanning system for robot control. First, we collected and analyzed features extracted from images of human gestures and used those features to train the recognition program in real time. Second, a multifeature cascade classifier algorithm was applied to guarantee both the accuracy and real-time processing of our gesture recognition method. Finally, to confirm the effectiveness of our algorithm, we selected a flight robot as our test platform to conduct an online robot control experiment based on the visual gesture recognition algorithm. Through extensive experiments, the effectiveness and efficiency of our method has been confirmed.
关键词	Human-robot interaction multifeature cascade classifier algorithm online pretraining flight robot platform gesture recognition system
资助者	National Natural Science Foundation of China ; National Natural Science Foundation of China (NSFC) ; Liaoning Province ; State Key Laboratory of Robotics
DOI	10.1177/1729881419861764
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[U1609210] ; National Natural Science Foundation of China[61573338] ; National Natural Science Foundation of China[U1508208] ; National Natural Science Foundation of China (NSFC)[U1608253] ; Liaoning Province[U1608253] ; State Key Laboratory of Robotics[2017-Z07]
WOS研究方向	Robotics
WOS类目	Robotics
WOS记录号	WOS:000474887300001
出版者	SAGE PUBLICATIONS INC
引用统计	被引频次：21[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.imr.ac.cn/handle/321006/134331
专题	中国科学院金属研究所
通讯作者	Hua, Chunsheng
作者单位	1.Chinese Acad Sci, Shenyang Inst Automat, State Key Lab Robot, Shenyang, Liaoning, Peoples R China 2.Chinese Acad Sci, Inst Robot & Intelligent Mfg, Shenyang, Liaoning, Peoples R China 3.Univ Chinese Acad Sci, Beijing, Peoples R China 4.Liaoning Univ, Coll Informat, 66 Chongshan Middle Rd, Shenyang 110036, Liaoning, Peoples R China 5.Nankai Univ, Coll Artificial Intelligence, Inst Robot & Automat Informat Syst, Tianjin, Peoples R China
推荐引用方式 GB/T 7714	Chen, Bo,Hua, Chunsheng,Dai, Bo,et al. Online control programming algorithm for human-robot interaction system with a novel real-time human gesture recognition method[J]. INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS,2019,16(4):18.
APA	Chen, Bo,Hua, Chunsheng,Dai, Bo,He, Yuqing,&Han, Jianda.(2019).Online control programming algorithm for human-robot interaction system with a novel real-time human gesture recognition method.INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS,16(4),18.
MLA	Chen, Bo,et al."Online control programming algorithm for human-robot interaction system with a novel real-time human gesture recognition method".INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS 16.4(2019):18.