A Gesture Recognition Method Based on Interval Distribution Probability

被引：0
|
作者：
Zhou, Song-Bin [1 ]
Lu, Shan-Dan [1 ,2 ]
Li, Chang [1 ]
机构：
[1] Guangdong Inst Automat, Guangdong Prov Key Lab Modern Control Technol, Modern Control & Light Mech & Elect Technol Publ, Guangzhou, Guangdong, Peoples R China
[2] Guangdong Univ Technol, Automat Coll, Guangzhou, Guangdong, Peoples R China
来源：
2015 International Conference on Software Engineering and Information System (SEIS 2015) | 2015年
关键词：
Gesture recognition; Infrared sensing technology; Interval distribution probability;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In view of the online real-time and the efficiency of the present methods of gesture recognition, this paper proposes a gesture recognition method based on interval probability probability. By using the infrared sensing technology to get the infrared reflection data of gestures, come pretreatment, establishes interval distribution probability feature templates according to their motion features. Finally, it makes a classification of the gestures and shows the output by using KNN. Via the experiments to identify 8 kinds of common gestures, the average recognition rate is up to 94.5%. As the experiments indicated, the system has the advantages of simple operation, low cost and can be used for a variety of intelligent interaction applications.
引用
收藏
页码：731 / 737
页数：7
相关论文
共 50 条
  • [41] A static hand gesture recognition method based on the depth information
    Ma, Li
    Huang, Wenjing
    2016 8TH INTERNATIONAL CONFERENCE ON INTELLIGENT HUMAN-MACHINE SYSTEMS AND CYBERNETICS (IHMSC), VOL. 2, 2016, : 136 - 139
  • [42] A method of gesture recognition based on the improved hidden markov model
    College of Computer Science and Technology, Xi’an University of Science and Technology, Xi’an
    Shaanxi
    710054, China
    Open. Cybern. Syst. J., 1 (217-221):
  • [43] Fast Gesture Recognition Algorithm Based on Superpixel Distribution and EMD Metric
    Cheng Ming
    Xu Jianbo
    RECENT DEVELOPMENTS IN INTELLIGENT SYSTEMS AND INTERACTIVE APPLICATIONS (IISA2016), 2017, 541 : 267 - 274
  • [44] Interval estimation of the probability distribution function
    Kuleshov E.L.
    Optoelectronics, Instrumentation and Data Processing, 2015, 51 (02) : 120 - 123
  • [45] A Fast Method of Ranking Interval Numbers Based on Probability Reliability
    He, Chuan
    Qiu, Dishan
    Peng, Li
    Guo, Hao
    2012 FIFTH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID 2012), VOL 2, 2012, : 174 - 177
  • [46] A novel decision probability transformation method based on belief interval
    Deng, Zhan
    Wang, Jianyu
    KNOWLEDGE-BASED SYSTEMS, 2020, 208
  • [47] RSSI ranging method based on the weighted distance interval probability
    Wang, Huan-Huan
    Gong, Na-Na
    Dianzi Keji Daxue Xuebao/Journal of the University of Electronic Science and Technology of China, 2013, 42 (06): : 862 - 868
  • [48] Evaluation on logistics center location based on probability distribution of interval number
    Li, JY
    PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT, VOLS 1 AND 2: MODERN INDUSTRIAL ENGINEERING AND INNOVATION IN ENTERPRISE MANAGEMENT, 2005, : 367 - 370
  • [49] Study on Probability Distribution Method of Interval Number for Management Evaluation of Venture Capital
    Jia, Zheng-yuan
    Li, Xue
    2008 4TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-31, 2008, : 10687 - 10691
  • [50] A fast static gesture recognition method
    Zhang, Dongquan
    Zhao, Jian
    International Journal of Computer Applications in Technology, 2014, 50 (03) : 253 - 257
12345