Ganesh R Naik
Ganesh R Naik
Post Doctoral Research Fellow at MARCS Institute - Western Sydney University
Verified email at - Homepage
TitleCited byYear
An overview of independent component analysis and its applications
GR Naik, DK Kumar
Informatica 35 (1), 2011
Twin SVM for gesture classification using the surface electromyogram
GR Naik, DK Kumar
IEEE Transactions on Information Technology in Biomedicine 14 (2), 301-308, 2009
Driver Fatigue Classification with Independent Component by Entropy Rate Bound Minimization Analysis in an EEG-based System
R Chai, G Naik, TN Nguyen, S Ling, Y Tran, A Craig, H Nguyen
IEEE Journal of Biomedical and Health Informatics (JBHI) 21 (3), 715-724, 2017
Hand gestures for HCI using ICA of EMG
GR Naik, DK Kumar, VP Singh, M Palaniswami
Proceedings of the HCSNet workshop on Use of vision in human-computer …, 2006
Single-Channel EMG Classification With Ensemble-Empirical-Mode-Decomposition-Based ICA for Diagnosing Neuromuscular Disorders
GR Naik, S Selvan, HT Nguyen
IEEE Transactions on Neural Systems & Rehabilitation Engineering (TNSRE), 2015
Transradial Amputee Gesture Classification Using an Optimal Number of sEMG Sensors: An Approach Using ICA Clustering
G Naik, A Al-Timemy, H Nguyen
IEEE Transactions on Neural Systems & Rehabilitation Engineering (TNSRE), 2015
Non Negative Matrix Factorization for the Identification of EMG finger movements: Evaluation using matrix analysis
GR Naik, HT Nguyen
IEEE Journal of Biomedical and Health Informatics (JBHI) 19 (2), 478 - 485, 2015
Multi run ICA and surface EMG based signal processing system for recognising hand gestures
GR Naik, DK Kumar, M Palaniswami
2008 8th IEEE International Conference on Computer and Information …, 2008
Blind source separation
GR Naik, W Wang
Berlin: Springer 10, 978-3, 2014
Improving EEG-based driver fatigue classification using sparse-deep belief networks
R Chai, SH Ling, PP San, GR Naik, TN Nguyen, Y Tran, A Craig, ...
Frontiers in neuroscience 11, 103, 2017
Edge effect elimination in single-mixture blind source separation
Y Guo, S Huang, Y Li, GR Naik
Circuits, Systems, and Signal Processing 32 (5), 2317-2334, 2013
Identification of hand and finger movements using multi run ICA of surface electromyogram
GR Naik, DK Kumar
Journal of medical systems 36 (2), 841-851, 2012
Signal processing evaluation of myoelectric sensor placement in low‐level gestures: sensitivity analysis using independent component analysis
GR Naik, DK Kumar, M Palaniswami
Expert Systems 31 (1), 91-99, 2014
Applied Biological Engineering - Principles and Practice
GR Naik
INTECH Open Access Publisher, 2011
Using Blind Source Separation on accelerometry data to analyze and distinguish the toe walking gait from normal gait in ITW children
G Pendharkar, GR Naik, HT Nguyen
Biomedical Signal Processing and Control 13, 41-49, 2014
Automated detection and correction of eye blink and muscular artefacts in EEG signal for analysis of Autism Spectrum Disorder
PN Jadhav, D Shanamugan, A Chourasia, AR Ghole, A Acharyya, ...
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual …, 2014
Online and automated reliable system design to remove blink and muscle artefact in EEG
S Bhardwaj, P Jadhav, B Adapa, A Acharyya, GR Naik
2015 37th Annual International Conference of the IEEE Engineering in …, 2015
Computational Intelligence in Electromyography Analysis - A Perspective on Current Applications and Future Challenges
GR Naik
INTECH Open Access Publisher, 2012
Pattern classification of Myo-Electrical signal during different Maximum Voluntary Contractions: A study using BSS techniques
G Naik, D Kumar, S Arjunan
Measurement Science Review 10 (1), 1-6, 2010
Measuring increase in synchronization to identify muscle endurance limit
DK Kumar, SP Arjunan, GR Naik
IEEE transactions on neural systems and rehabilitation engineering 19 (5 …, 2011
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