Human posture recognition based on multiple features and rule learning

doi:10.1007/s13042-020-01138-y

	Human posture recognition based on multiple features and rule learning
	Ding, Weili 1; Hu, Bo 1; Liu, Han 2; Wang, Xinming 1; Huang, Xiangsheng3
发表期刊	INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS
ISSN	1868-8071
	2020-06-02
页码	12
通讯作者	Liu, Han(liuh48@cardiff.ac.uk) ; Wang, Xinming(wang8297161@stumail.ysu.edu.cn)
摘要	The use of skeleton data for human posture recognition is a key research topic in the human-computer interaction field. To improve the accuracy of human posture recognition, a new algorithm based on multiple features and rule learning is proposed in this paper. Firstly, a 219-dimensional vector that includes angle features and distance features is defined. Specifically, the angle and distance features are defined in terms of the local relationship between joints and the global spatial location of joints. Then, during human posture classification, the rule learning method is used together with the Bagging and random subspace methods to create different samples and features for improved classification performance of sub-classifiers for different samples. Finally, the performance of our proposed algorithm is evaluated on four human posture datasets. The experimental results show that our algorithm can recognize many kinds of human postures effectively, and the results obtained by the rule-based learning method are of higher interpretability than those by traditional machine learning methods and CNNs.
关键词	Human posture recognition Multiple features Rule learning
DOI	10.1007/s13042-020-01138-y
关键词[WOS]	POSE
收录类别	SCI
语种	英语
资助项目	National Key R&D Program of China[2018YFB1308302] ; National Natural Science Foundation of China[61573356] ; Research and Practice Project of Innovation and Entrepreneurship Education Teaching Reform in Hebei Province[2017CXCY025]
项目资助者	National Key R&D Program of China ; National Natural Science Foundation of China ; Research and Practice Project of Innovation and Entrepreneurship Education Teaching Reform in Hebei Province
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000537400100001
出版者	SPRINGER HEIDELBERG
引用统计	被引频次：31[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/39625
专题	复杂系统认知与决策实验室_决策指挥与体系智能
通讯作者	Liu, Han; Wang, Xinming
作者单位	1.Yanshan Univ, Inst Elect Engn, Dept Automat, Key Lab Intelligent Rehabil & Neromodulat Hebei P, 438 West Hebei Ave, Haigang Dist 066004, Qinghuangdao, Peoples R China 2.Cardiff Univ, Sch Comp Sci & Informat, Queens Bldg 5, Cardiff CF24 3AA, Wales 3.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Ding, Weili,Hu, Bo,Liu, Han,et al. Human posture recognition based on multiple features and rule learning[J]. INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS,2020:12.
APA	Ding, Weili,Hu, Bo,Liu, Han,Wang, Xinming,&Huang, Xiangsheng.(2020).Human posture recognition based on multiple features and rule learning.INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS,12.
MLA	Ding, Weili,et al."Human posture recognition based on multiple features and rule learning".INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS (2020):12.