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Neural Signal Processing and Motion Capture as a Feedback Mechanism to Improve Interceptive Human Movement

Authors:
Devanka Pathak
Tin-Kai Chen
Meiyu Shi
Hongji Yang

Keywords: Interceptive; Movement; Neural; Neurofeedback; Motion-capture.

Abstract:
In this paper, we present a framework to explore the role of motion capture and neural information processing in a coordinated execution of movements in the sporting context. We discuss the perception-cognition-action coupling from a motor function consideration. For this, we present a generic experimental design for brain source connectivity estimation. We show the visualisation of the brain connectivity using a sample Electroencephalography (EEG) data-set. We propose to extrapolate the application of similar design to study sporting movements such as cricket batting. We present the case for the use of portable and mobile EEG sensors to study such a low latency decision-making task. Finally, we describe a preliminary framework on how to use and validate the efficacy of neurofeedback in coaching skilled human movement. Taking a multi-modal approach, we included motion capture data to study the skilled movement. From this, we present the wrist movement variation in a shadow batting task by a novice batsman.

Pages: 44 to 49

Copyright: Copyright (c) IARIA, 2017

Publication date: February 19, 2017

Published in: conference

ISSN: 2308-3735

ISBN: 978-1-61208-530-2

Location: Athens, Greece

Dates: from February 19, 2017 to February 23, 2017