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Human posture recognition based on multiple features and rule learning

文献类型：期刊论文

作者Ding, Weili2; Hu, Bo2; Liu, Han3; Wang, Xinming2; Huang, Xiangsheng1
刊名INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS
出版日期2020-06-02
页码12
关键词Human posture recognition Multiple features Rule learning
ISSN号1868-8071
DOI10.1007/s13042-020-01138-y
通讯作者Liu, Han(liuh48@cardiff.ac.uk) ; Wang, Xinming(wang8297161@stumail.ysu.edu.cn)
英文摘要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.
WOS关键词POSE
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]
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000537400100001
出版者SPRINGER HEIDELBERG
资助机构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
源URL[http://ir.ia.ac.cn/handle/173211/39624]  
专题融合创新中心_决策指挥与体系智能
通讯作者Liu, Han; Wang, Xinming
作者单位1.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
2.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
3.Cardiff Univ, Sch Comp Sci & Informat, Queens Bldg 5, Cardiff CF24 3AA, Wales
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.

入库方式： OAI收割

来源：自动化研究所

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