EMG AND EEG Integrated HMI For Robotic Arm: A Systematic Review

  • Pooja Kataria

Abstract

Now-a-days for rehabilitation of lower and upper limb motor functions, the fusion of Functional
Electrical Simulation and the Robotic Devices are in great trend. Especially an upper-limb
exoskeleton robot has emerged to be a powerful assistive robot that can be used to assist the upperlimb movement of a physically disabled or weak individual in order to improve their quality of life.
Although controlling upper-limb exoskeletons has been an area of research from last few decades,
there are several problems which need further research effort. So this paper concentrate on analyzing
the various hybrid control (EEG &EMG) based assistive robotic device developed by various authors
and then comparing them on the basis of certain identified parameters like biological signal used,
assistive device, invasiveness, data acquisition, feature extraction, classifiers and the accuracy
achieved.

Published
2020-05-20
How to Cite
Pooja Kataria. (2020). EMG AND EEG Integrated HMI For Robotic Arm: A Systematic Review. International Journal of Advanced Science and Technology, 29(10s), 2336-2349. Retrieved from http://sersc.org/journals/index.php/IJAST/article/view/16863
Section
Articles