Universiti Teknologi Malaysia Institutional Repository

Guiding wheelchair motion based on EOG signals using tangent bug algorithm

Sudirman, Rubita (2011) Guiding wheelchair motion based on EOG signals using tangent bug algorithm. In: Third International Conference on Computational Intelligence, Modelling & Simulation, 20-22 Sept. 2011, Langkawi, Malaysia.

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Official URL: http://dx.doi.org/10.1109/CIMSim.2011.17

Abstract

In this work, we propose new method beside the classic method, to control the motorized wheelchair using EOG signals. The new method allows the user to look around freely while the wheelchair navigates automatically to the desired goal point. Only EOG signals are used to control the wheelchair, eye gazing and blinking. The user can still choose to control the wheelchair using the classic manual method in case the environment and obstacles structure does not help with the auto navigation method. In the new auto navigation method the micro controller can know the goal point direction and distance by calculating the gaze angle that the user is gazing at. Gaze angle and blinks are measured and used as inputs for the controlling method. Tangent Bug algorithm is used to navigate the wheelchair in Auto controlling method.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:wheelchairs, control engineering computing, electric vehicles, electro-oculography, handicapped aids, microcontrollers, motion control
Divisions:Electrical Engineering
ID Code:45909
Deposited By: Pn Haliza Zainal
Deposited On:10 Jun 2015 03:00
Last Modified:30 Aug 2017 14:03

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