Real-time control of a mobile robot using electrooculogram based eye tracking system

Uzair Hassan; Hassam Mughal; Inamullah Mohsin; Zeashan Hameed Khan

doi:10.1109/IMTIC.2018.8467232

Real-time control of a mobile robot using electrooculogram based eye tracking system

Uzair Hassan, Hassam Mughal, Inamullah Mohsin, Zeashan Hameed Khan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

8 Scopus citations

Abstract

This paper describes a system architecture starting from the sensor design to the algorithm implementation to control a mobile robot using electrooculogram based eye tracking system. Various methods exist to control external devices with muscle movements, Electrocardiogram (ECG) or Electroencephalogram (EEG). The proposed system works with Electrooculogram (EOG) by sensing eye movement and is found beneficial for paraplegic/quadriplegic patients who can get assistance from a 2-DOF robotic arm to perform their daily tasks. This low cost design can be easily implemented on an embedded robotic platform for implementation in various domains.

Original language	English
Title of host publication	5th International Multi-Topic ICT Conference
Subtitle of host publication	Technologies For Future Generations, IMTIC 2018 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538665947
DOIs	https://doi.org/10.1109/IMTIC.2018.8467232
State	Published - 17 Sep 2018
Externally published	Yes
Event	5th International Multi-Topic ICT Conference: Technologies For Future Generations, IMTIC 2018 - Jamshoro, Pakistan Duration: 25 Apr 2018 → 27 Apr 2018

Publication series

Name	5th International Multi-Topic ICT Conference: Technologies For Future Generations, IMTIC 2018 - Proceedings

Conference

Conference	5th International Multi-Topic ICT Conference: Technologies For Future Generations, IMTIC 2018
Country/Territory	Pakistan
City	Jamshoro
Period	25/04/18 → 27/04/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

EEG
EOG
embedded robot
tracking control

ASJC Scopus subject areas

Hardware and Architecture
Computer Networks and Communications
Computer Science Applications
Information Systems
Control and Optimization

Access to Document

10.1109/IMTIC.2018.8467232

Cite this

Hassan, U., Mughal, H., Mohsin, I., & Khan, Z. H. (2018). Real-time control of a mobile robot using electrooculogram based eye tracking system. In 5th International Multi-Topic ICT Conference: Technologies For Future Generations, IMTIC 2018 - Proceedings Article 8467232 (5th International Multi-Topic ICT Conference: Technologies For Future Generations, IMTIC 2018 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IMTIC.2018.8467232

Hassan, Uzair ; Mughal, Hassam ; Mohsin, Inamullah et al. / Real-time control of a mobile robot using electrooculogram based eye tracking system. 5th International Multi-Topic ICT Conference: Technologies For Future Generations, IMTIC 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. (5th International Multi-Topic ICT Conference: Technologies For Future Generations, IMTIC 2018 - Proceedings).

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title = "Real-time control of a mobile robot using electrooculogram based eye tracking system",

abstract = "This paper describes a system architecture starting from the sensor design to the algorithm implementation to control a mobile robot using electrooculogram based eye tracking system. Various methods exist to control external devices with muscle movements, Electrocardiogram (ECG) or Electroencephalogram (EEG). The proposed system works with Electrooculogram (EOG) by sensing eye movement and is found beneficial for paraplegic/quadriplegic patients who can get assistance from a 2-DOF robotic arm to perform their daily tasks. This low cost design can be easily implemented on an embedded robotic platform for implementation in various domains.",

keywords = "EEG, EOG, embedded robot, tracking control",

author = "Uzair Hassan and Hassam Mughal and Inamullah Mohsin and Khan, \{Zeashan Hameed\}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 5th International Multi-Topic ICT Conference: Technologies For Future Generations, IMTIC 2018 ; Conference date: 25-04-2018 Through 27-04-2018",

year = "2018",

month = sep,

day = "17",

doi = "10.1109/IMTIC.2018.8467232",

language = "English",

series = "5th International Multi-Topic ICT Conference: Technologies For Future Generations, IMTIC 2018 - Proceedings",

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Hassan, U, Mughal, H, Mohsin, I & Khan, ZH 2018, Real-time control of a mobile robot using electrooculogram based eye tracking system. in 5th International Multi-Topic ICT Conference: Technologies For Future Generations, IMTIC 2018 - Proceedings., 8467232, 5th International Multi-Topic ICT Conference: Technologies For Future Generations, IMTIC 2018 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 5th International Multi-Topic ICT Conference: Technologies For Future Generations, IMTIC 2018, Jamshoro, Pakistan, 25/04/18. https://doi.org/10.1109/IMTIC.2018.8467232

Real-time control of a mobile robot using electrooculogram based eye tracking system. / Hassan, Uzair; Mughal, Hassam; Mohsin, Inamullah et al.
5th International Multi-Topic ICT Conference: Technologies For Future Generations, IMTIC 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. 8467232 (5th International Multi-Topic ICT Conference: Technologies For Future Generations, IMTIC 2018 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - This paper describes a system architecture starting from the sensor design to the algorithm implementation to control a mobile robot using electrooculogram based eye tracking system. Various methods exist to control external devices with muscle movements, Electrocardiogram (ECG) or Electroencephalogram (EEG). The proposed system works with Electrooculogram (EOG) by sensing eye movement and is found beneficial for paraplegic/quadriplegic patients who can get assistance from a 2-DOF robotic arm to perform their daily tasks. This low cost design can be easily implemented on an embedded robotic platform for implementation in various domains.

AB - This paper describes a system architecture starting from the sensor design to the algorithm implementation to control a mobile robot using electrooculogram based eye tracking system. Various methods exist to control external devices with muscle movements, Electrocardiogram (ECG) or Electroencephalogram (EEG). The proposed system works with Electrooculogram (EOG) by sensing eye movement and is found beneficial for paraplegic/quadriplegic patients who can get assistance from a 2-DOF robotic arm to perform their daily tasks. This low cost design can be easily implemented on an embedded robotic platform for implementation in various domains.

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M3 - Conference contribution

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BT - 5th International Multi-Topic ICT Conference

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Hassan U, Mughal H, Mohsin I, Khan ZH. Real-time control of a mobile robot using electrooculogram based eye tracking system. In 5th International Multi-Topic ICT Conference: Technologies For Future Generations, IMTIC 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. 8467232. (5th International Multi-Topic ICT Conference: Technologies For Future Generations, IMTIC 2018 - Proceedings). doi: 10.1109/IMTIC.2018.8467232

Real-time control of a mobile robot using electrooculogram based eye tracking system

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this