loading
Papers

Research.Publish.Connect.

Paper

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

Topics: Adaptive Architectures and Mechanisms; Bio-Inspired and Humanoid Robotics; Complex Artificial Neural Network Based Systems and Dynamics; Higher Level Artificial Neural Network Based Intelligent Systems; Neural Network Hardware Implementation and Applications; Neural Network Software and Applications

Authors: Shyam Diwakar 1 ; Sandeep Bodda 1 ; Chaitanya Nutakki 2 ; Asha Vijayan 2 ; Krishnashree Achuthan 2 and Bipin Nair 2

Affiliations: 1 Amrita Vishwa Vidyapeetham(Amrita University), India ; 2 Amrita University, India

ISBN: 978-989-758-054-3

Keyword(s): Brain Computer Interface, Prosthetic Arm, Kinematics, EEG, Iterative Algorithm, Machine learning

Related Ontology Subjects/Areas/Topics: Adaptive Architectures and Mechanisms ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Bio-Inspired and Humanoid Robotics ; Biomedical Engineering ; Biomedical Signal Processing ; Complex Artificial Neural Network Based Systems and Dynamics ; Computational Intelligence ; Enterprise Information Systems ; Health Engineering and Technology Applications ; Higher Level Artificial Neural Network Based Intelligent Systems ; Human-Computer Interaction ; Methodologies and Methods ; Neural Network Hardware Implementation and Applications ; Neural Network Software and Applications ; Neural Networks ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; Theory and Methods

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 roboti c arm. (More)

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.233.226.151

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
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

@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},
}

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

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.