Neural Control using EEG as a BCI Technique for Low Cost Prosthetic Arms

Shyam Diwakar, Sandeep Bodda, Chaitanya Nutakki, Asha Vijayan, Krishnashree Achuthan, Bipin Nair

2014

Abstract

There have been significant advancements in brain computer interface (BCI) techniques using EEG-like methods. EEG can serve as non-invasive BMI technique, to control devices like wheelchairs, cursors and robotic arm. In this paper, we discuss the use of EEG recordings to control low-cost robotic arms by extracting motor task patterns and indicate where such control algorithms may show promise towards the humanitarian challenge. Studies have shown robotic arm movement solutions using kinematics and machine learning methods. With iterative processes for trajectory making, EEG signals have been known to be used to control robotic arms. The paper also showcases a case-study developed towards this challenge in order to test such algorithmic approaches. Non-traditional approaches using neuro-inspired processing techniques without implicit kinematics have also shown potential applications. Use of EEG to resolve temporal information may, indeed, help understand movement coordination in robotic arm.

Paper Citation

in Harvard Style

Diwakar S., Bodda S., Nutakki C., Vijayan A., Achuthan K. and Nair B. (2014). Neural Control using EEG as a BCI Technique for Low Cost Prosthetic Arms . In Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2014) ISBN 978-989-758-054-3, pages 270-275. DOI: 10.5220/0005134802700275

in Bibtex Style

@conference{ncta14,
author={Shyam Diwakar and Sandeep Bodda and Chaitanya Nutakki and Asha Vijayan and Krishnashree Achuthan and Bipin Nair},
title={Neural Control using EEG as a BCI Technique for Low Cost Prosthetic Arms},
booktitle={Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2014)},
year={2014},
pages={270-275},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005134802700275},
isbn={978-989-758-054-3},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2014)
TI - Neural Control using EEG as a BCI Technique for Low Cost Prosthetic Arms
SN - 978-989-758-054-3
AU - Diwakar S.
AU - Bodda S.
AU - Nutakki C.
AU - Vijayan A.
AU - Achuthan K.
AU - Nair B.
PY - 2014
SP - 270
EP - 275
DO - 10.5220/0005134802700275