Electrooculogram based Online Control Signal Generation for Wheelchair

被引：7
|
作者：
Banerjee, Anwesha [1 ]
Datta, Shounak [2 ]
Das, Pratyusha [2 ,3 ]
Konar, Amit [2 ]
Tibarewala, D. N. [1 ]
Janarthanan, R. [2 ]
机构：
[1] Jadavpur Univ, Sch Biosci & Engn, Kolkata, India
[2] Jadavpur Univ, Dept Elect & Telecommun, Kolkata, India
[3] Inst Engn & Management, Dept Elect & Telecommun, Kolkata, India
来源：
2012 INTERNATIONAL SYMPOSIUM ON ELECTRONIC SYSTEM DESIGN (ISED 2012) | 2012年
关键词：
Electrooculogram (EOG); Human computer interface (HCI); Rehabilitation aid;
D O I：
10.1109/ISED.2012.12
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Human computer interfacing technology has paved a new way in providing services to people with special needs (i.e., elderly, people with impairments, or people with disabilities). Research is going on to interface the movement based biosignals with machines. Electrooculogram is the signal produced due to eye ball movements and can be used to control mobility aids. Electrooculogram is the potential difference around the eyes due to movement of the eye balls in different directions. In this study an acquisition system for electrooculogram is designed to collect the desired signal with low noise and then signal processing is done for control application. The contribution of this paper lies in the development of two new strategies of electrooculographic signal based control of motors in real time.
引用
收藏
页码：251 / 255
页数：5
相关论文
共 50 条
  • [1] Wheelchair Control System By Using Electrooculogram Signal Processing
    Nakanishi, Masaki
    Mitsukura, Yasue
    [J]. PROCEEDINGS OF THE 19TH KOREA-JAPAN JOINT WORKSHOP ON FRONTIERS OF COMPUTER VISION (FCV 2013), 2013, : 137 - 142
  • [2] Electrooculogram wheelchair control
    Philips, Gavin R.
    Catellier, Andrew A.
    Barrett, Steven F.
    Wright, Cameron H. G.
    [J]. Biomedical Sciences Instrumentation, Vol 43, 2007, 43 : 164 - 169
  • [3] MOTORIZED WHEELCHAIR CONTROL USING ELECTROOCULOGRAM AND HEAD GEAR
    Bardhan, Jayetri
    Suma, P.
    Jyothirmayi, M.
    [J]. 2016 INTERNATIONAL CONFERENCE ON INVENTIVE COMPUTATION TECHNOLOGIES (ICICT), VOL 3, 2015, : 938 - 942
  • [4] EMG Signal based Control of an Intelligent Wheelchair
    Mahendran, Rampriya
    [J]. 2014 INTERNATIONAL CONFERENCE ON COMMUNICATIONS AND SIGNAL PROCESSING (ICCSP), 2014,
  • [5] An Electrooculogram Based Control System
    Atique, Md. Moin Uddin
    Rakib, Sakhawat Hossen
    Siddique-e-Rabbani, Khondkar
    [J]. 2016 5TH INTERNATIONAL CONFERENCE ON INFORMATICS, ELECTRONICS AND VISION (ICIEV), 2016, : 809 - 812
  • [6] A Shared Control Architecture based on Electrooculogram Signal and Global Vision for Smart Assistive Robots
    Sun, Lei
    Chen, Hua
    Chen, YangQuan
    [J]. PROCEEDINGS OF 2017 IEEE INTERNATIONAL CONFERENCE ON UNMANNED SYSTEMS (ICUS), 2017, : 146 - 149
  • [7] Robust Bio-Signal Based Control of an Intelligent Wheelchair
    Xu, Xiaodong
    Zhang, Yi
    Luo, Yuan
    Chen, Dongyi
    [J]. ROBOTICS, 2013, 2 (04) : 187 - 197
  • [8] Gold Standard Generation Using Electrooculogram Signal for Drowsiness Detection in Simulator Conditions
    Rodriguez-Ibanez, N.
    Meca-Calderon, P.
    Garcia-Gonzalez, M. A.
    Ramos-Castro, J.
    Fernandez-Chimeno, M.
    [J]. BIOMEDICAL ENGINEERING SYSTEMS AND TECHNOLOGIES (BIOSTEC 2013), 2014, 452 : 74 - 88
  • [9] An enhanced algorithm of online small signal stability control strategy generation
    China Electric Power Research Institute, Haidian District, Beijing
    100192, China
    [J]. Zhongguo Dianji Gongcheng Xuebao, 34 (6191-6198):
  • [10] Wheelchair for Quadriplegic Patient with Electromyography Signal Control Wireless
    Yulianto, Endro
    Indrato, Tri Bowo
    Bima, T. M. N.
    Suharyati
    [J]. INTERNATIONAL JOURNAL OF ONLINE AND BIOMEDICAL ENGINEERING, 2020, 16 (12) : 94 - 115
12345