脑-机接口
计算机科学
可用的
脑电图
大脑活动与冥想
接口(物质)
解码方法
过程(计算)
人机交互
人工智能
心理学
神经科学
多媒体
电信
操作系统
最大气泡压力法
气泡
并行计算
作者
R Sravanth Kumar,Kandala Kalyana Srinivas,Anudeep Peddi,P A Harsha Vardhini
标识
DOI:10.1109/becithcon54710.2021.9893646
摘要
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).
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