An Exploration of the Utilization of Electroencephalography and Neural Nets to Control Robots
作者： Dan Szafir , Robert Signorile
DOI: 10.1007/978-3-642-23768-3_16
关键词: Computer science 、 Electroencephalography 、 Virtual reality 、 Scalp 、 Human–computer interaction 、 Control system 、 Brain–computer interface 、 Robot
摘要: It has long been known that as neurons fire within the brain they produce measurable electrical activity. Electroencephalography (EEG) is measurement and recording of these signals using sensors arrayed across scalp. The idea Brain-Computer interfaces (BCIs), which allow control devices signals, naturally present themselves to many extremely useful applications including prosthetic devices, restoring or aiding in communication hearing, military applications, video gaming virtual reality, robotic control, have possibility significantly improving quality life disabled individuals. purpose this research examine an off shelf EEG system, Emotiv EPOC© System, a costeffective gateway non-invasive portable measurements build BCI robot, Parallax Scribbler®. We built middleware interpret outputs from map them into commands for Scribbler robot.
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