Wheelchair Guidance Strategies Using EOG

被引：0
|
作者：
R. Barea
L. Boquete
M. Mazo
E. López
机构：
[1] University of Alcalá,Electronics Department
[2] Alcalá de Henares,undefined
来源：
Journal of Intelligent and Robotic Systems | 2002年 / 34卷
关键词：
electrooculography (EOG); wheelchair; control; guidance; graphical interfaces; disabled people;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper describes an eye-control method, based on electrooculography (EOG), for guiding and controlling a wheelchair for disabled people; the control is actually effected by eye movements within the socket. An eye model based on an electrooculographic signal is proposed and its validity is studied. Different techniques and guidance strategies are then shown with comments on the advantages and disadvantages of each one. The system consists of a standard electric wheelchair with an on-board computer, sensors and a graphic user interface run by the computer. This control technique could be useful in multiple applications, such as mobility and communication aid for handicapped persons.
引用
收藏
页码：279 / 299
页数：20
相关论文
共 50 条
  • [41] Hardware implementation of a new neurocontrol wheelchair-guidance system
    Boquete, L
    Martín, P
    Mazo, M
    García, R
    Barea, R
    Rodríguez, FJ
    Fernández, I
    NEUROCOMPUTING, 2002, 47 : 145 - 160
  • [42] Design and Development of an EOG-based System to Control Electric Wheelchair for People Suffering from Quadriplegia or Quadriparesis
    Bhuyain, Md. Fahim
    Shawon, Md. Ahsan-Ul Kabir
    Sakib, Nazmus
    Faruk, Tasnuva
    Islam, Md. Kafiul
    Salim, Khosru M.
    2019 1ST INTERNATIONAL CONFERENCE ON ROBOTICS, ELECTRICAL AND SIGNAL PROCESSING TECHNIQUES (ICREST), 2019, : 460 - 465
  • [43] A New Directional Intention Identification Approach for Intelligent Wheelchair Based on Fusion of EOG Signal and Eye Movement Signal
    Li, Tongbo
    Yang, Junyou
    Bai, Dianchun
    Wang, Yina
    2018 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENCE AND SAFETY FOR ROBOTICS (ISR), 2018, : 470 - 474
  • [44] Implementation of EOG Mouse Using Learning Vector Quantization and EOG-feature Based Methods
    Zhang, Peng
    Ito, Momoyo
    Ito, Shin-ichi
    Fukumi, Minoru
    2013 IEEE CONFERENCE ON SYSTEMS, PROCESS & CONTROL (ICSPC), 2013, : 88 - 92
  • [45] FES Position Control of Forearm Using EOG
    Suetsugu, Ken
    Tagawa, Yoshihiko
    Inada, Tomohisa
    Shiba, Naoto
    ADVANCES IN NEURO-INFORMATION PROCESSING, PT I, 2009, 5506 : 494 - +
  • [46] Remote Control of an Electronic Device using EOG
    Reddy, P. Preetham
    Suresh, P. V. B.
    Reddy, P. Thirumal
    Manitha, P., V
    Deepa, K.
    PROCEEDINGS OF THE 2017 INTERNATIONAL CONFERENCE ON SMART TECHNOLOGIES FOR SMART NATION (SMARTTECHCON), 2017, : 780 - 783
  • [47] Cooperative Nonlinear Guidance Strategies for Aircraft DefenseCooperative Nonlinear Guidance Strategies for Aircraft Defense
    Kumar, Shashi Ranjan
    Shima, Tal
    JOURNAL OF GUIDANCE CONTROL AND DYNAMICS, 2017, 40 (01) : 124 - 138
  • [48] Speech Assistive Communication System Using EOG
    Bastos, Anson
    Alhat, Siddharth
    Panse, M. S.
    PROCEEDINGS OF THE 2018 SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND CONTROL SYSTEMS (ICICCS), 2018, : 504 - 510
  • [49] Towards an Intelligent System for Clinical Guidance on Wheelchair Tilt and Recline Usage
    Fu, Jicheng
    Wiechmann, Paul
    Jan, Yih-Kuen
    Jones, Maria
    2012 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2012, : 4648 - 4651
  • [50] Commands generation by face movements applied to the guidance of a wheelchair for handicapped people
    Bergasa, LM
    Mazo, M
    Gardel, A
    Barea, R
    Boquete, L
    15TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 4, PROCEEDINGS: APPLICATIONS, ROBOTICS SYSTEMS AND ARCHITECTURES, 2000, : 660 - 663
12345