EEG Feature Extraction Based on Rough Set

被引：0
|
作者：
Mu, Zhendong [1 ]
机构：
[1] Jiangxi Univ Technol, Inst Informat Technol, Nanchang 330029, Jiangxi, Peoples R China
来源：
PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON MANAGEMENT, EDUCATION, INFORMATION AND CONTROL | 2015年 / 125卷
关键词：
Feature extraction; Rough set; Electroencephalograph (EEG) signal; AUTHENTICATION;
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：
Rough set theory has been successfully utilized in a variety of information mining fields. Since the EEG found that many researchers to study the biological signals in electrical brain research, the EEG feature extraction algorithm is a major research content. In this paper, rough set theory is taken as a research tool, EEG feature extraction, through 30 subjects collected EEG analysis, collect the EEG applied to the identification, the results show that rough set of feature extraction method can achieve identification.
引用
收藏
页码：1246 / 1249
页数：4
相关论文
共 50 条
  • [1] Text Feature Extraction Based on Rough Set
    Cheng, Yiyuan
    Zhang, Ruiling
    Wang, Xiufeng
    Chen, Qiushuang
    FIFTH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, VOL 2, PROCEEDINGS, 2008, : 310 - 314
  • [2] Video classification by feature extraction based on rough set
    Song Jian
    Zou Muchun
    Sun Wei
    ICCSE'2006: PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE & EDUCATION: ADVANCED COMPUTER TECHNOLOGY, NEW EDUCATION, 2006, : 533 - 537
  • [3] Investigation and Application of Feature Extraction Based on Rough Set Theory
    Tang, Zhi-hang
    Zhang, Jing
    Li, Rong-jun
    ADVANCED RESEARCH ON ELECTRONIC COMMERCE, WEB APPLICATION, AND COMMUNICATION, PT 2, 2011, 144 : 195 - +
  • [4] Rough Set Based Decision Support for Feature Extraction of Rice Data
    Saxena, Hemlata
    Sharma, Leena
    Panchal, Minakshi
    COMMUNICATIONS IN MATHEMATICS AND APPLICATIONS, 2023, 14 (03): : 1255 - 1262
  • [5] The Technique of Gas Disaster Information Feature Extraction based on Rough Set Theory
    Li, Hui
    Zhang, Shu
    Wang, Xia
    JOURNAL OF COMPUTERS, 2013, 8 (04) : 983 - 989
  • [6] ROI Extraction Based on Rough Set
    Sun Junding
    Chen Suxia
    2009 INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND INFORMATION APPLICATION TECHNOLOGY, VOL III, PROCEEDINGS,, 2009, : 207 - 209
  • [7] Rough Set Based Feature Selection: A Review
    Anaraki, Javad Rahimipour
    Eftekhari, Mahdi
    2013 5TH CONFERENCE ON INFORMATION AND KNOWLEDGE TECHNOLOGY (IKT), 2013, : 301 - 306
  • [8] Feature selection by ordered rough set based feature weighting
    Al-Radaideh, QA
    Sulaiman, MN
    Selamat, MH
    Ibrahim, HT
    DATABASE AND EXPERT SYSTEMS APPLICATIONS, PROCEEDINGS, 2005, 3588 : 105 - 112
  • [9] Fault feature extraction of rotating machinery based on EWT and a weighted multi neighborhood rough set
    Wu Y.
    Zhao R.
    Jin W.
    Zhendong yu Chongji/Journal of Vibration and Shock, 2019, 38 (24): : 235 - 242
  • [10] Extraction of the Reduced Training Set Based on Rough Set in SVMs
    Liu, Hongbing
    Xiong, Shengwu
    Chen, Qiong
    ADVANCES IN NEURAL NETWORKS - ISNN 2009, PT 2, PROCEEDINGS, 2009, 5552 : 259 - 266
12345