A further simplified algorithm for blink recognition using video oculography for communicating

S. R. Rupanagudi, Varsha G. Bhat, B. Ranjani, S. Eshwari, S. Shreyas, M. N. Vishnu, R. K. Singh, Sukanya Singh, B. Chandrashekar
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引用次数: 8

Abstract

A lot of research has been carried out in the past decade to assist patients suffering from paralysis or Motor Neuron Disease (MND) to communicate and also to move. Though solutions exist, they are extremely expensive and also sluggish in user response. This paper presents a cost effective setup and a novel algorithm to help the MND affected segment of the society to communicate using only blinks. A major feature of the research carried out is the high speed dilation algorithm discovered and also a simplified eye detection methodology, which is totally independent of a computer interface. All experiments were carried out using Simulink bundled with MATLAB 2011b. A Java implementation for speed efficiency calculation was also carried out and proved that the proposed methodology is 8 times faster compared to its predecessor technology.
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一种进一步简化的眨眼识别算法,利用视频视觉技术进行通信
在过去的十年里,人们进行了大量的研究,以帮助瘫痪或运动神经元疾病(MND)患者进行交流和移动。虽然存在解决方案,但它们非常昂贵,而且用户响应缓慢。本文提出了一种具有成本效益的设置和一种新的算法,以帮助受MND影响的社会部分仅使用眨眼进行通信。该研究的一个主要特点是发现了高速扩张算法和简化的眼睛检测方法,该方法完全独立于计算机接口。所有实验均使用Simulink与MATLAB 2011b捆绑进行。一个用于速度效率计算的Java实现也被执行,并证明了所提出的方法比其前身技术快8倍。
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