Wheelchair Control System based Eye Gaze

被引:0
|
作者
Amer, Samar Gamal [1 ]
Kamh, Sanaa A. [1 ]
Elshahed, Marwa A. [1 ]
Ramadan, Rabie A. [2 ]
机构
[1] Ain Shams Univ, Fac Women, Dept Phys, Cairo, Egypt
[2] Cairo Univ, Fac Engn, Comp Engn Dept, Cairo, Egypt
关键词
Dilip; numpy; gaze ratio; facial landmarks points; deep learning;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The inability to control the limbs is the main reason that affects the daily activities of the disabled which causes social restrictions and isolation. More studies were performed to help disabilities for easy communication with the outside world and others. Various techniques are designed to help the disabled in carrying out daily activities easily. Among these technologies is the Smart Wheelchair. This research aims to develop a smart eye-controlled wheelchair whose movement depends on eye movement tracking. The proposed Wheelchair is simple in design and easy to use with low cost compared with previous Wheelchairs. The eye movement was detected through a camera fixed on the chair. The user's gaze direction is obtained from the captured image after some processing and analysis. The order is sent to the Arduino Uno board which controls the wheelchair movement. The Wheelchair performance was checked using different volunteers and its accuracy reached 94.4% with a very short response time compared with the other existing chairs.
引用
收藏
页码:889 / 894
页数:6
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