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Cited by 486

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System for assisted mobility using eye movements based on electrooculography

Barea, R., Boquete, L., Mazo, M., Lopez, E.·2002·IEEE Transactions on Neural Systems and Rehabilitation Engineering

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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Metadata

Authors
Barea, R., Boquete, L., Mazo, M., & Lopez, E.
Venue
IEEE Transactions on Neural Systems and Rehabilitation Engineering
Published
2002-12
Volume
10
Issue
4
Pages
209-218
ISSN
  • 1534-4320 (ISSN-L)
  • 1558-0210
OpenAlex
W1972148060
Cited by
486
References
0
FWCI
2.93
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: System for assisted mobility using eye movements based on electrooculography. https://app.cochat.ai/papers/10.1109/tnsre.2002.806829
The paper
Barea, R., Boquete, L., Mazo, M., & Lopez, E. (2002). System for assisted mobility using eye movements based on electrooculography. IEEE Transactions on Neural Systems and Rehabilitation Engineering. https://doi.org/10.1109/tnsre.2002.806829

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.