Brain waves intelligent control and real-time monitoring equipment

被引:0
|
作者
Zhang, Yi [1 ]
Hao, Si Bo [2 ]
Qiao, Tian Yi [3 ]
Cui, Gao Feng [1 ]
机构
[1] Beijing Univ Posts & Telecommun, Sch Elect Engn, Beijing 100088, Peoples R China
[2] Harbin Inst Technol, Sch Automat, Harbin 150006, Peoples R China
[3] Tsinghua Univ, Beijing 100084, Peoples R China
关键词
intelligent control system; brain wave; portable equipment; STOCHASTIC RESONANCE;
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
The existing intelligent system mainly uses manual operation completes human-computer interaction, so the traditional manual control system still has its limitations, can not get rid of manual control, resulting in some people with disabilities cannot be used. Put the brain wave elements into intelligent manipulation can liberate controller's hands, bring greater convenience. This article will use brain wave extraction equipment as a non-implantable device system, using induced brain waves to form specific EEG brain waves, and for intelligent control. Currently, we have implemented the use of brain waves switch songs and play different music in real-time based on people's mood. This paper has achieved the short-term monitoring of negative emotions, of human emotions and make improvements. People with disabilities can easily use. Meanwhile, spontaneous EEG can also be used in monitoring human states, for example, health and mood. Eventually, the device can be made into portable equipment.
引用
下载
收藏
页码:495 / 497
页数:3
相关论文
共 50 条
  • [1] Data acquisition approach for real-time equipment monitoring and control
    Baweja, G
    Ouyang, B
    2002 IEEE/SEMI ADVANCED SEMICONDUCTOR MANUFACTURING CONFERENCE AND WORKSHOP: ADVANCING THE SCIENCE OF SEMICONDUCTOR MANUFACTURING EXCELLENCE, 2002, : 223 - 227
  • [2] Real-time monitoring and intelligent control for spray forming process
    Wang, Jianqiang
    Chang, Xinchun
    Hao, Yunyan
    Hou, Wanliang
    Hu, Zhuangqi
    Cailiao Gongcheng/Journal of Materials Engineering, 1998, (02): : 47 - 49
  • [3] Application of XML in Real-time Monitoring System in Measurement and Control Equipment
    Liu, Sifang
    Pan, Gaofeng
    Xie, Yong
    Li, Pei
    MACHINERY, MATERIALS SCIENCE AND ENERGY ENGINEERING, 2015, : 847 - 852
  • [4] Smart, intelligent wells provide real-time well control, monitoring
    Moritis, G.
    Oil and Gas Journal, 2001, 99 (14): : 72 - 77
  • [5] Smart, intelligent wells provide real-time well control, monitoring
    Moritis, G
    OIL & GAS JOURNAL, 2001, 99 (14) : 72 - 77
  • [6] Real-time completion monitoring with acoustic waves
    Bakulin, Andrey
    Sidorov, Alexander
    Kashtan, Boris
    Jaaskelainen, Mikko
    GEOPHYSICS, 2008, 73 (01) : E15 - E33
  • [7] Real-Time Implementation of Intelligent Actuator Control with a Transducer Health Monitoring Capability
    Jethwa, Dipan
    Selmic, Rastko R.
    Figueroa, Fernando
    2008 MEDITERRANEAN CONFERENCE ON CONTROL AUTOMATION, VOLS 1-4, 2008, : 918 - +
  • [8] Real-Time Monitoring and Intelligent Control for Greenhouses Based on Wireless Sensor Network
    Al-Aubidy, Kasim M.
    Ali, Mohammad M.
    Derbas, Ahmad M.
    Al-Mutairi, Abdallah W.
    2014 11TH INTERNATIONAL MULTI-CONFERENCE ON SYSTEMS, SIGNALS & DEVICES (SSD), 2014,
  • [9] A Real-Time Based Intelligent System for Predicting Equipment Status
    Lee, Seungchul
    Kim, Daeyoung
    2019 6TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND COMPUTATIONAL INTELLIGENCE (CSCI 2019), 2019, : 429 - 432
  • [10] A real-time equipment monitoring and fault detection system
    Guo, RS
    Chen, A
    Tseng, CL
    Fong, IK
    Yang, A
    Lee, CL
    Wu, CH
    Lin, S
    Huang, SJ
    Lee, YC
    Chang, SG
    Lees, MY
    1998 SEMICONDUCTOR MANUFACTURING TECHNOLOGY WORKSHOP, 1998, : 111 - 123