01369nas a2200229   4500000000100000000000100001008004100002260001200043653001300055653001100068653001300079653002900092653001100121100001800132700001800150245008700168856009800255300001000353490000600363520075600369022001401125       2017                            d  c09/201710aRobotics10aSensor10aMedicine10aBrain Computer Interface10aEmotiv1 aKrishna Asawa1 aParth Gargava00aBrain Computer Interface for Micro-controller Driven Robot Based on Emotiv Sensors  uhttp://www.ijimai.org/journal/sites/default/files/files/2016/12/ijimai20174_5_7_pdf_15281.pdf  a39-430 v43 aA Brain Computer Interface (BCI) is developed to navigate a micro-controller based robot using Emotiv sensors. The BCI system has a pipeline of 5 stages- signal acquisition, pre-processing, feature extraction, classification and CUDA inter- facing. It shall aid in serving a prototype for physical movement of neurological patients who are unable to control or operate on their muscular movements. All stages of the pipeline are designed to process bodily actions like eye blinks to command navigation of the robot. This prototype works on features learning and classification centric techniques using support vector machine. The suggested pipeline, ensures successful navigation of a robot in four directions in real time with accuracy of 93 percent.  a1989-1660