脑-机接口
脑电图
计算机科学
接口(物质)
机器人
人机交互
人工智能
神经科学
心理学
气泡
最大气泡压力法
并行计算
作者
Sanad Biswas,W. David Hairston,J. Stanley Metcalfe,Sylvia Bhattacharya
出处
期刊:SoutheastCon
日期:2023-04-01
卷期号:: 827-832
被引量:3
标识
DOI:10.1109/southeastcon51012.2023.10115194
摘要
Brain-computer interface (BCI) has had exciting improvements in the last decade due to the developments in brain science and computer technology, making BCI a top research area in applied science. With the advancement of technologies, researchers are now experimenting using BCI for operating vehicles, robots, and aircraft. However, choosing the suitable brain signal acquisition technique among the available ones is a big concern. In this paper, we will survey the studies that used the BCI framework for controlling vehicles and quadcopters, its limitations, its prospect, and the reason electroencephalogram (EEG) best suits the BCI framework.
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