Assistance for the Paralyzed Using Eye Blink Detection

A. Udayashankar, A. Kowshik, S. Chandramouli, H. Prashanth
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引用次数: 39

Abstract

Paralysis is defined as the complete loss of muscle function in any part of the body. It occurs when there is a problem with the passage of messages between the muscles and the brain. Some paralyzed people cannot move even a single part of the body other than their eyes. Hence, the main aim of this paper is to design a real time interactive system that can assist the paralyzed to control appliances such as lights, fans etc. or by playing pre-recorded audio messages, through a predefined number of eye blinks. Image processing techniques have been implemented in order to detect the eye blinks. In our system, the face tracking is accomplished by using a set of trained Haar cascade classifier, and a template matching technique is employed to track the eye. Initially, the involuntary blinks of the paralyzed person are used to locate the patient's eyes by finding the number of connected components in a frame. Once the eyes are detected, an online template is created which is then used to track the patient's eye.
使用眨眼检测帮助瘫痪者
麻痹被定义为身体任何部位的肌肉功能完全丧失。当肌肉和大脑之间的信息传递出现问题时,就会发生这种情况。有些瘫痪的人除了眼睛以外,身体的任何一个部位都不能活动。因此,本文的主要目的是设计一个实时交互系统,可以帮助瘫痪的人控制电器,如灯,风扇等,或通过播放预先录制的音频信息,通过预定义的眨眼次数。图像处理技术已经实现,以检测眨眼。在我们的系统中,使用一组训练好的Haar级联分类器来完成人脸跟踪,并使用模板匹配技术来跟踪眼睛。最初,通过寻找框架中连接组件的数量,利用瘫痪患者的非自愿眨眼来定位患者的眼睛。一旦检测到眼睛,就会创建一个在线模板,然后用于跟踪患者的眼睛。
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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