Literature DB >> 12611358

System for assisted mobility using eye movements based on electrooculography.

Rafael Barea1, Luciano Boquete, Manuel Mazo, Elena López.   

Abstract

This paper describes an eye-control method based on electrooculography (EOG) to develop a system for assisted mobility. One of its most important features is its modularity, making it adaptable to the particular needs of each user according to the type and degree of handicap involved. An eye model based on electroculographic signal is proposed and its validity is studied. Several human-machine interfaces (HMI) based on EOG are commented, focusing our study on guiding and controlling a wheelchair for disabled people, where the control is actually effected by eye movements within the socket. 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. On the other hand, this eye-control method can be applied to handle graphical interfaces, where the eye is used as a mouse computer. Results obtained show that this control technique could be useful in multiple applications, such as mobility and communication aid for handicapped persons.

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Year:  2002        PMID: 12611358     DOI: 10.1109/TNSRE.2002.806829

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  32 in total

1.  Evaluation of a smartphone platform as a wireless interface between tongue drive system and electric-powered wheelchairs.

Authors:  Jeonghee Kim; Xueliang Huo; Julia Minocha; Jaimee Holbrook; Anne Laumann; Maysam Ghovanloo
Journal:  IEEE Trans Biomed Eng       Date:  2012-04-16       Impact factor: 4.538

2.  Soft, conformal bioelectronics for a wireless human-wheelchair interface.

Authors:  Saswat Mishra; James J S Norton; Yongkuk Lee; Dong Sup Lee; Nicolas Agee; Yanfei Chen; Youngjae Chun; Woon-Hong Yeo
Journal:  Biosens Bioelectron       Date:  2017-01-25       Impact factor: 10.618

3.  Neural processes for intentional control of perceptual switching: a magnetoencephalography study.

Authors:  Masanori Shimono; Keiichi Kitajo; Tsunehiro Takeda
Journal:  Hum Brain Mapp       Date:  2011-03       Impact factor: 5.038

4.  Novel non-contact control system of electric bed for medical healthcare.

Authors:  Chi-Chun Lo; Shang-Ho Tsai; Bor-Shyh Lin
Journal:  Med Biol Eng Comput       Date:  2016-06-15       Impact factor: 2.602

5.  Quantitative and comparative assessment of learning in a tongue-operated computer input device.

Authors:  Behnaz Yousefi; Xueliang Huo; Emir Veledar; Maysam Ghovanloo
Journal:  IEEE Trans Inf Technol Biomed       Date:  2011-06-07

Review 6.  The body-machine interface: a new perspective on an old theme.

Authors:  Maura Casadio; Rajiv Ranganathan; Ferdinando A Mussa-Ivaldi
Journal:  J Mot Behav       Date:  2012       Impact factor: 1.328

7.  A wireless magnetoresistive sensing system for an intraoral tongue-computer interface.

Authors:  Hangue Park; Mehdi Kiani; Hyung-Min Lee; Jeonghee Kim; Jacob Block; Benoit Gosselin; Maysam Ghovanloo
Journal:  IEEE Trans Biomed Circuits Syst       Date:  2012-12       Impact factor: 3.833

8.  A magneto-inductive sensor based wireless tongue-computer interface.

Authors:  Xueliang Huo; Jia Wang; Maysam Ghovanloo
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2008-10       Impact factor: 3.802

9.  A dual-mode human computer interface combining speech and tongue motion for people with severe disabilities.

Authors:  Xueliang Huo; Hangue Park; Jeonghee Kim; Maysam Ghovanloo
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2013-03-07       Impact factor: 3.802

10.  On the use of electrooculogram for efficient human computer interfaces.

Authors:  A B Usakli; S Gurkan; F Aloise; G Vecchiato; F Babiloni
Journal:  Comput Intell Neurosci       Date:  2009-10-15
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