Title :
Paralyzed subject controls telepresence mobile robot using novel sEMG brain-computer interface: Case study
Author :
Lyons, Kenneth R. ; Joshi, Sanjay S.
Author_Institution :
Dept. of Mech. & Aerosp. Eng., Univ. of California, Davis, Davis, CA, USA
Abstract :
Here we demonstrate the use of a new singlesignal surface electromyography (sEMG) brain-computer interface (BCI) to control a mobile robot in a remote location. Previous work on this BCI has shown that users are able to perform cursor-to-target tasks in two-dimensional space using only a single sEMG signal by continuously modulating the signal power in two frequency bands. Using the cursor-to-target paradigm, targets are shown on the screen of a tablet computer so that the user can select them, commanding the robot to move in different directions for a fixed distance/angle. A Wifi-enabled camera transmits video from the robot´s perspective, giving the user feedback about robot motion. Current results show a case study with a C3-C4 spinal cord injury (SCI) subject using a single auricularis posterior muscle site to navigate a simple obstacle course. Performance metrics for operation of the BCI as well as completion of the telerobotic command task are developed. It is anticipated that this noninvasive and mobile system will open communication opportunities for the severely paralyzed, possibly using only a single sensor.
Keywords :
brain-computer interfaces; control engineering computing; electromyography; handicapped aids; image sensors; mobile robots; notebook computers; telerobotics; BC!; C3-C4 spinal cord injury subject; SC!; Wifi-enabled camera; auricularis posterior muscle site; cursor-to-target tasks; frequency bands; mobile system; noninvasive system; obstacle course; paralyzed subject; remote location; robot motion; sEMG brain-computer interface; sEMG signal; single-signal surface electromyography; tablet computer; telepresence mobile robot; telerobotic command task; user feedback; video transmits; Cameras; Mobile robots; Muscles; Robot vision systems; Streaming media; brain-computer interface (BCI); brain-muscle-computer interface (BMCI); human-machine interface; mobile robot; surface electromyography (sEMG);
Conference_Titel :
Rehabilitation Robotics (ICORR), 2013 IEEE International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4673-6022-7
DOI :
10.1109/ICORR.2013.6650428