Artificial Intelligence based Human Attention Detection through Brain Computer Interface for Health Care Monitoring

Ravi Kumar, K. Srinivas, Anudeep Peddi, P. Vardhini
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引用次数: 1

Abstract

Attention as a key aspect of brain activity is one of the most usable area of brain study. It has a significant impact on the brain activities such as learning process and critical activities like driving vehicles. As real-time bidirectional linkages between living brains and actuators, brain-computer interfaces (BCIs) have showed considerable promise. The area of BCIs has been accelerated by artificial intelligence (AI), which can improve the analysis and decoding of brain activity. This paper deals with how attention of a person is detected using Electroencephalogram (EEG) and Brain Computer Interface (BCI).
基于脑机接口的人工智能人体注意力检测在医疗监测中的应用
注意力作为大脑活动的一个关键方面,是大脑研究中最有用的领域之一。它对大脑活动有重大影响,比如学习过程和驾驶汽车等关键活动。作为活体大脑和执行器之间的实时双向连接,脑机接口(bci)显示出相当大的前景。人工智能(AI)加速了脑机接口领域的发展,它可以改进对大脑活动的分析和解码。本文讨论了如何利用脑电图和脑机接口来检测人的注意力。
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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