Title :
Controlling mobile Spykee robot using Emotiv Neuro headset
Author :
Grude, Simon ; Freeland, Matthew ; Chenguang Yang ; Hongbin Ma
Author_Institution :
Sch. of Comput. & Math., Univ. of Plymouth, Plymouth, UK
Abstract :
This paper investigates controlling the commercialized Spykee mobile robot, using only brain electroencephalography (EEG) signals transmitted by the Emotiv Epoc Neuro Headset. The Spykee robot is equipped with a wireless communication protocol to control it. Both visualization and motor control methods have been carried out and analyzed in order to control the robot with accuracy. All the fourteen channels on the Emotiv headset have been utilized and the pattern recognition has been done by the echo state network (ESN). Four different actions (moving forward/backward and turning left/right) have been achieved to control the robot reaching an arbitrary target on the floor.
Keywords :
control engineering computing; data visualisation; electroencephalography; human-robot interaction; interactive devices; mobile robots; motion control; neural nets; pattern recognition; protocols; signal processing; ESN; Emotiv Epoc neuro headset; Spykee mobile robot control; brain electroencephalography signals; brian EEG signals; echo state network; motor control methods; moving backward action; moving forward action; pattern recognition; turning left action; turning right action; visualization methods; wireless communication protocol; Electrodes; Electroencephalography; Headphones; Neurons; Robots; Software; Training; Echo State Network (ESN); Emotiv Epoc Neuro Headset; Spykee; electroencephalography (EEG);
Conference_Titel :
Control Conference (CCC), 2013 32nd Chinese
Conference_Location :
Xi´an
