Guiding Wheelchair Motion Based on EOG Signals Using Tangent Bug Algorithm

A. Al-Haddad, R. Sudirman, C. Omar
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引用次数: 25

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.
基于切线Bug算法的眼电信号引导轮椅运动
本文在传统方法的基础上,提出了利用眼电信号控制电动轮椅的新方法。新方法允许用户自由地环顾四周,而轮椅会自动导航到期望的目标点。只有EOG信号用于控制轮椅,眼睛凝视和眨眼。在环境和障碍物结构不利于自动导航的情况下,用户仍然可以选择使用经典的手动方式来控制轮椅。在新的自动导航方法中,单片机通过计算用户注视的角度来确定目标点的方向和距离。测量凝视角和眨眼作为控制方法的输入。在自动控制方法中,采用切线Bug算法对轮椅进行导航。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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