基于Viola-Jones算法图像处理的眼球运动和眨眼分析测谎仪

Aziz Perdana, Muhammad Nasrun, C. Setianingsih, M. A. Murti, Andi Sitti Syathirah, Al Agias Bayu Asa, N. I. G. Paulina, Nesa Cristin Natalia Batubara
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引用次数: 0

摘要

如今,许多谎言发生了,应该被注意和揭露。然而,说谎有各种各样的目的。有时谎言会引起很多问题,尤其是在重要的事情上,需要大量的人,比如商业、犯罪和其他重要的事情。作者使用了The Viola-Jones方法,该方法可以检测人脸、眼睛图像和眼睛的变化。与模糊逻辑相比,该方法的准确率可提高50%以上。通过调查和系统分析,30名受访者每人回答5个问题。该系统检测正常眼动的平均准确率为91.07%,闪烁眼动的平均准确率为85.30%。因此,在对30名被调查者的150个问题中,系统检测的准确率为78%,准确率为77%,召回率为80%,正确答案为117个。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Lie Detector with Eye Movement and Eye Blinks Analysis Based on Image Processing using Viola-Jones Algorithm
Nowadays, many lies occur and should be noticed and uncovered. However, there are various purposes to lie. Sometimes a lie causes many issues, especially for important things, and needs massive people like business, criminality, and other important things. The author uses The Viola-Jones method, which can detect faces, eye images, and changes in the eyes. Compared with fuzzy logic, this method could give more than 50% of accuracy. From a research and system analysis, 30 respondents are given five questions for each person. This system detection obtained an average of 91.07% accuracy for proper eye movements while 85.30% for flicker eyes. Hence, in total research for system detection of respondents is the accuracy of 78%, the precision of 77%, and the recall of 80% with 117 correct answers from 150 questions for 30 respondents.
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