Wireless Brain Computer Interface for Smart Home and Medical System

被引:30
|
作者
Jafri, Syed Rehan Abbas [1 ]
Hamid, Tehreem [1 ]
Mahmood, Rabia [1 ]
Alam, Muhammad Asjad [1 ]
Rafi, Talha [1 ]
Ul Haque, Muhammad Zeeshan [2 ]
Munir, Muhammad Wasim [2 ]
机构
[1] Sir Syed Univ Engn & Technol, Dept Biomed Engn, Karachi, Pakistan
[2] Barrett Hodgson Univ, Dept Biomed Engn, Salim Habib Campus,NC-24 Deh Dih, Karachi 74900, Pakistan
关键词
Wireless system; Wireless brain-computer interface (WBCI); Smart home; Disable people; Android application; DESIGN;
D O I
10.1007/s11277-018-5932-x
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
The number of aged and disabled people has been increasing worldwide. To look after these people is a big challenge in this era. However, scientists overcome the problems of handicapped people with the help of the latest communication technologies. The smart home and medical systems are a predominant concept in research and development, specially utilizing the brain-computer interface (BCI) technology to control the daily use appliances. BCI acquires the brain signals that transmit to a digital device for analyzing and interpreting into further command or action but this approach limits the communication range between the brain and the system and becomes bulky because of the wired interface of a brain with the system. Therefore, the main purpose of this research was to design and evaluate a system that empowered the immobilized, handicapped or elderly people to carry out their basic routine tasks wirelessly, for instance, operating home appliances and monitoring vital signs without any dependency. In addition, the subject should have a properly functioning brain and controlled with eye muscle movement. In this research work, wireless BCI (WBCI) technology that is a commercial electroencephalogram headset is used to control home and medical appliances such as a light bulb, a fan, a digital blood pressure monitor and an Infrared deep pain therapeutic belt for dependent people. An Android application is developed name Smart Home Monitor that monitors the data from the headset. The designed device is tested on younger (50-year-old) and older (>50-year-old) individuals to achieve an attention level (0-100). The younger male reached attention level 74.78 within 26.20s; quicker than younger female and older people. Overall, this research work is unique for the reason that it is suitable for all those people, whose brain and eye muscles are functional even if the rest of the body is paralyzed. This analysis evaluated WBCI device enables the system to be wireless, handy, portable and reliable. Thus, the whole system can be commercialized for immobilized or handicapped people to provide better care and facility at home. Especially, the disable people appreciated this system and want to see its implementation as soon as possible.
引用
收藏
页码:2163 / 2177
页数:15
相关论文
共 50 条
  • [41] Wearable and Wireless Brain-Computer Interface and Its Applications
    Lin, Chin-Teng
    Ko, Li-Wei
    Chang, Che-Jui
    Wang, Yu-Te
    Chung, Chia-Hsin
    Yang, Fu-Shu
    Duann, Jeng-Ren
    Jung, Tzyy-Ping
    Chiou, Jin-Chern
    FOUNDATIONS OF AUGMENTED COGNITION, PROCEEDINGS: NEUROERGONOMICS AND OPERATIONAL NEUROSCIENCE, 2009, 5638 : 741 - 748
  • [42] An application of wireless brain-computer interface for drowsiness detection
    Tripathy, Asis Kumar
    Chinara, Suchismita
    Sarkar, Mahasweta
    BIOCYBERNETICS AND BIOMEDICAL ENGINEERING, 2016, 36 (01) : 276 - 284
  • [43] Study of Smart Home System based on Zigbee Wireless Sensor System
    Huang, Jie
    PROCEEDINGS OF THE 2016 2ND WORKSHOP ON ADVANCED RESEARCH AND TECHNOLOGY IN INDUSTRY APPLICATIONS, 2016, 81 : 325 - 329
  • [44] Smart Home Appliances Control System and Smart Wireless Charger for Electric Vehicles
    Hamied, Mohamed Hassan Abdel
    PROCEEDINGS OF THE 2022 16TH INTERNATIONAL CONFERENCE ON UBIQUITOUS INFORMATION MANAGEMENT AND COMMUNICATION (IMCOM 2022), 2022,
  • [45] Development of Brain-Computer Interface (BCI) System for Bridging Brain and Computer
    Kanoh, S.
    Miyamoto, K.
    Yoshinobu, T.
    13TH INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING, VOLS 1-3, 2009, 23 (1-3): : 2264 - 2267
  • [46] Smart Mat as part of a wireless sensor network system for Smart home services
    Kim, Hyunyoung
    Ryu, Ho-Yong
    Jang, Beyung-Ok
    Kim, Jinsul
    ASIA LIFE SCIENCES, 2015, : 157 - 168
  • [47] Implementation of Brain Computer Interface for Security System
    Kanu, Biki
    Kumar, Rahul
    Ganesan, P.
    Premalatha, J.
    RESEARCH JOURNAL OF PHARMACEUTICAL BIOLOGICAL AND CHEMICAL SCIENCES, 2016, 7 (01): : 706 - 711
  • [48] BRAIN COMPUTER INTERFACE IN ENHANCED LEARNING SYSTEM
    Zaharija, Goran
    Bogunovic, Pero
    Mladenovic, Sasa
    12TH INTERNATIONAL TECHNOLOGY, EDUCATION AND DEVELOPMENT CONFERENCE (INTED), 2018, : 198 - 205
  • [49] Application of ZigBee wireless sensor network in smart home system
    Liu W.
    Yan Y.
    International Journal of Advancements in Computing Technology, 2011, 3 (05) : 154 - 160
  • [50] Design of the Smart Home Control System Based on Wireless Transmission
    Chen, Jian
    Huang, Xiangsheng
    2017 3RD INTERNATIONAL CONFERENCE ON MECHATRONIC SYSTEMS AND MATERIALS APPLICATION (ICMSMA 2017), 2017, : 3 - 9