Presumption Method for Detecting and Analyzing Human Mental Behavior by Employing EEG Signal

2018 4th International Conference on Electrical Engineering and Information & Communication Technology (iCEEiCT) Pub Date : 2018-09-01 DOI:10.1109/CEEICT.2018.8628137

Md Mahmudul Hasan, Md. AshfaqulIslam, Sheikh Ahmad Imtiyaz, Md MahbubHasan

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引用次数: 3

Abstract

For the field of security concerned bounds human identification has fallen out a titanic promising biological or biometric specification based system. Biometric systems worship different kinds of properties, e.g., characteristics of fingerprint, face, iris or posture. The motive of this research is to assess the different mortal psychic behavior by Electroencephalogram (EEG) signal with time-frequency exploration by acquiring information from the interior changes of brain territory. This paperwork represents mortal psychic conditions emerged on some prominent features of EEG signal. For this experimental motive five pathological states have been regulated like as happiness, sadness, anger, surprise, and fear. Various EEG signals have been compiled for these states and resolved by employing discrete transform. Congealing for a tangible problem, standard deviation is noteworthy in this case and the curve of happiness is more diligent.

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利用脑电图信号检测和分析人类心理行为的推定方法

在安全领域，基于生物或生物特征规范的人体识别已经成为一个非常有前途的系统。生物识别系统崇拜不同种类的特性，例如指纹、面部、虹膜或姿势的特征。本研究的目的是通过获取脑域内部变化的信息，利用时频探测的脑电图信号来评估人类不同的心理行为。这一文书反映了人类精神状态在脑电图信号上出现的一些突出特征。为了这个实验动机，五种病理状态被调节为快乐、悲伤、愤怒、惊讶和恐惧。针对这些状态编制了各种脑电图信号，并采用离散变换进行了解析。凝结为一个有形的问题，在这种情况下，标准偏差值得注意，幸福曲线更加勤奋。

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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来源期刊

2018 4th International Conference on Electrical Engineering and Information & Communication Technology (iCEEiCT)

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