Systems, Man & Cybernetics - October 2016 - 4

Noninvasive
Brain-Computer
Interface
Decoding Arm Movement Kinematics and Motor Control

by Neethu Robinson and A.P. Vinod

O

ver the last few decades,
the advances in disciplines
such as neuroscience and
engineering have introduced the brain-computer
interface (BCI) as a promising tool for
neurorehabilitation and neurophysiology
research. BCI research primarily aims at
development of assistive and rehabilitation strategies for motor-impaired users
and, hence, sensorimotor-rhythm (SMR)based BCIs are widely explored. This type
of BCI performs detection and interpretation of the neural activity underlying various user intentions, specifically related to
movement, and translates these brain
functionalities to the external environment without relying on normal neuromuscular pathways. The interfaced device
thus achieves motor control directly from
the neural activity. Motor-control BCIs
investigate various aspects of human
motor skills and have successfully identified neural patterns related to motor execution, imagination, and intention from
bilateral limbs. In this article, we provide
a summary of recent advances in motor
control BCI, specifically in movement
kinematics decoding and motor control of
localized areas of the limb. We further discuss the research challenges and future
scope of work in this area of research.
Digital Object Identifier 10.1109/MSMC.2016.2576638
Date of publication: 18 October 2016

4

IEEE SyStEmS, man, & CybErnEtICS magazInE October 2016

2333-942X/16©2016IEEE



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Systems, Man & Cybernetics - October 2016 - Cover3
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