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System for assisted mobility using eye movements based on electrooculography
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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Citations
Cited by
Kelly, S. P., Lalor, E. C., Reilly, R. B., & Foxe, J. J. (2006) · Journal of Neurophysiology · doi:10.1152/jn.01234.2005 · Cited by 715
Pu, X., Guo, H., Chen, J., Wang, X., Xi, Y., Hu, C., & Wang, Z. L. (2017) · Science Advances · doi:10.1126/sciadv.1700694 · Cited by 624
Eye Tracking and Eye-Based Human–Computer Interaction
Majaranta, P., & Bulling, A. (2014) · Human–Computer Interaction Series · doi:10.1007/978-1-4471-6392-3_3 · Cited by 530
Hand Gesture Recognition Based Omnidirectional Wheelchair Control Using IMU and EMG Sensors
Kundu, A. S., Mazumder, O., Lenka, P. K., & Bhaumik, S. (2018) · Journal of Intelligent & Robotic Systems · doi:10.1007/s10846-017-0725-0 · Cited by 152
A Wireless Magnetoresistive Sensing System for an Intraoral Tongue-Computer Interface
Park, H., Kiani, M., Lee, H.-M., Kim, J., Block, J., Gosselin, B., & Ghovanloo, M. (2012) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2012.2227962 · Cited by 79
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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- 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).
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