| Abstract [eng] |
Neural computer interface is alternative way to control computer without hands. It is defined as a communication system which allows user control computer or any other digital device using neural breed physiological signal. The main application of neural computer interface is various devices for people with disabilities. For example, electronic prosthetic limbs, PC‘s with additional hardware and software which allows people with motor disabilities to control PC or intelligent wheelchairs. In this work we are analyzing neural computer interface applied for robot control. The author presents neural computer interface system which allows to read EEG and head surface EMG signals, pre-process the signals, classify the signals and control Arduino 4WD robot. We also propose approach to control robot with head surface EMG signal amplitude using 3 control commands. Robot control research using proposed approach is presented. |
