Anxiety and Fear based Safety detector using kNN Classification Algorithm

M. Karthiga, V. G. Priyaa, A. Sagayaraj, J. Vinu, R. Rupesh, R C Karthik
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引用次数: 0

Abstract

Safety issues in health is to be considered as primary necessity. Fear causes the changes in the activity of the nervous system that influences various body parameters. Many health problems are diagnosed by physiological and chemical changes in the human body. Consecutive fear feeling can mislead to unconsciousness. Thus, it causes a threatened feeling and people become insecure. People experiencing prolonged fear makes them disconnected and separated from others creating a dissonance in the world. Especially when kids suffer being a victim unable to communicate to parent can be recognized by monitoring child’s fear activity. This paper suggests a smart protection system under a prolonged fearfulness. The paper proposes of using a finger vein sensing with the advantage of image processing using MATLAB is interfaced with Arduino board that transmits the signal during occurrence of fear causing by any threats.
基于kNN分类算法的焦虑和恐惧安全检测器
健康方面的安全问题被认为是首要的需要。恐惧会引起神经系统活动的变化,从而影响身体的各种参数。许多健康问题都是通过人体内的生理和化学变化来诊断的。持续的恐惧情绪会导致无意识。因此,它会引起一种受威胁的感觉,人们变得不安全。经历长期恐惧的人会使他们与他人隔绝,从而在世界上产生不和谐。特别是当孩子遭受无法与父母沟通的受害者时,可以通过监测孩子的恐惧活动来识别。提出了一种长时间恐惧下的智能保护系统。本文提出使用一种具有图像处理优势的手指静脉传感,利用MATLAB与Arduino板接口,在任何威胁引起的恐惧发生时传输信号。
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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