Guiding wheelchair motion based on EOG signals using tangent bug algorithm

• Main Author: Sudirman, Rubita
• Format: Conference or Workshop Item
• Published: 2011
• Online Access: http://eprints.utm.my/id/eprint/45909/; http://dx.doi.org/10.1109/CIMSim.2011.17
• Institution: Universiti Teknologi Malaysia

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.