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  • 标题:Electroencephalography Signals Based Face Interaction System: Survey and Simulation
  • 本地全文:下载
  • 作者:Shahad Hussain Alawi ; Salih Mahdi Al-Qaraawi ; Muayad Sadik Croock
  • 期刊名称:International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
  • 印刷版ISSN:2278-1323
  • 出版年度:2018
  • 卷号:7
  • 期号:3
  • 页码:307-310
  • 出版社:Shri Pannalal Research Institute of Technolgy
  • 摘要:It is well known that the Electroencephalography (EEG) signals read from the human brain attract the interest of researchers in computer and control system engineering fields. Different applications have been produced to overcome real-life issues. This paper presents a comprehensive survey amongst the previous research works on the signals of human brain, i.e. EEG. This survey summarizes the recent researches in the EEG applications field and lists the advantages as well as the disadvantages. Motivated ideas that overcomes the problems of traditional systems are proposed. In addition, this paper simulates the human face interaction using Emotiv Control Panel simulator. This simulator represents the same face actions on the simulated face shape at the personal computer. Different case studies are considered to cover the ability of the simulator in representing the face actions.
  • 关键词:EMOTIV; Electroencephalography; Face simulation.
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