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EEG-based brain-machine interface (BMI) for controlling mobile robots: the trend of prior studies

Murali Krishnan, Muralindran Mariappan

发表年份
2015
引用次数
12
访问权限
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摘要

Recently, a novel method created on thought based brain signal and it has been technologically advanced rapidly. The Brain control system is a rapidly emerging multidisciplinary study area which has perceived remarkable achievement over the past few years. In this paper, we review the background, feature extraction and classification algorithms used to design the Electroencephalography (EEG) based Brain-Machine Interface (BMI) to control the mobile robots.

关键词

ElectroencephalographyBrain–computer interfaceComputer scienceMobile robotMultidisciplinary approachArtificial intelligenceFeature extractionInterface (matter)Feature (linguistics)Robot

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