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首页> 外文会议>2019 10th International Conference on Dependable Systems, Services and Technologies >A Video Processing Based Eye Gaze Recognition Algorithm for Wheelchair Control
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A Video Processing Based Eye Gaze Recognition Algorithm for Wheelchair Control

机译：基于视频处理的轮椅控制视线识别算法

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摘要

Over the past few years, a lot of research has been carried out in eye gaze recognition and its applications. From controlling wheelchairs to selecting options on a screen, utilizing the gaze of an individual has become a long-sought way for performing these tasks and in turn making the life of several differently abled people easy. In this paper a novel methodology to perform iris segmentation and gaze recognition has been introduced and described. The method elaborated utilizes a segmentation algorithm which can successfully extract the iris under varying lighting conditions with the help of machine learning. All experiments were conducted using the MATLAB R2013a software and a speed improvement of almost 3.433 times was achieved as opposed to other popular methods of iris extraction. In terms of accuracy, the algorithm proved to be 86% accurate and was also adopted to control an actual wheelchair.
机译：在过去的几年中，在注视识别及其应用方面进行了大量研究。从控制轮椅到在屏幕上选择选项，利用个人的注视已成为执行这些任务的长久以来的方式，从而使一些能力不同的人的生活变得轻松。在本文中，已经介绍并描述了一种新的方法来执行虹膜分割和注视识别。阐述的方法利用了一种分割算法，该算法可以借助机器学习在变化的光照条件下成功提取虹膜。所有实验均使用MATLAB R2013a软件进行，与其他流行的虹膜提取方法相比，速度提高了近3.433倍。在准确性方面，该算法被证明具有86％的准确性，并且还被用于控制实际的轮椅。

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