Processing of Human Motions using Cost Effective EEG Sensor and Machine Learning Approach

Shaik Abdul Waheed, S. Revathi, Mohammed Abdul Matheen, Amairullah Khan Lodhi, Mohammed Ashrafuddin, G.S. Maboobatcha
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引用次数: 6

Abstract

Emotions are different biological states brought on by neurophysiological changes associated with the nervous system which are affected and results in thoughts, feelings, behavioral responses, and a degree of pleasure or displeasure. These emotions play a vital role in understanding the human response towards any means of action they experience. The system uses an EEG headband device made out of IoT and various machine learning algorithms to understand the human’s emotion of any incident they undergo. In this paper, we propose a method to detect and recognize the emotional changes in a human who is exposed to various images.
基于高效脑电传感器和机器学习方法的人体运动处理
情绪是由与神经系统相关的神经生理变化引起的不同的生物状态,这些变化受到影响并导致思想、感觉、行为反应和一定程度的快乐或不快乐。这些情绪在理解人类对他们所经历的任何行为的反应方面起着至关重要的作用。该系统使用由物联网制成的脑电图头带设备和各种机器学习算法,以了解人类经历任何事件时的情绪。在本文中,我们提出了一种方法来检测和识别人类暴露在各种图像中的情绪变化。
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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