Ganesh R Naik
Ganesh R Naik
Post Doctoral Research Fellow at MARCS Institute - Western Sydney University
Verified email at westernsydney.edu.au - Homepage
Title
Cited by
Cited by
Year
An overview of independent component analysis and its applications
GR Naik, DK Kumar
Informatica 35 (1), 2011
2182011
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
1382009
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
1332017
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
912015
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
852015
Hand gestures for HCI using ICA of EMG
GR Naik, DK Kumar, VP Singh, M Palaniswami
ACM International Conference Proceeding Series 237, 67-72, 2006
802006
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
752015
Blind source separation
GR Naik, W Wang
Berlin: Springer 10, 978-3, 2014
732014
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
702017
Computational Intelligence in Electromyography Analysis - A Perspective on Current Applications and Future Challenges
GR Naik
INTECH Open Access Publisher, 2012
602012
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
582008
Applied Biological Engineering - Principles and Practice
GR Naik
INTECH Open Access Publisher, 2011
52*2011
CNN based approach for activity recognition using a wrist-worn accelerometer
M Panwar, SR Dyuthi, KC Prakash, D Biswas, A Acharyya, K Maharatna, ...
2017 39th Annual International Conference of the IEEE Engineering in …, 2017
482017
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
472013
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
462014
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
462014
Retinal Fundus Image Analysis for Diagnosis of Glaucoma: A Comprehensive Survey
CS Mary, EB Rajsingh, GR Naik
IEEE ACCESS Journal 4, 4327-4354, 2016
452016
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
442012
A machine learning based method for classification of fractal features of forearm sEMG using twin support vector machines
SP Arjunan, DK Kumar, GR Naik
2010 Annual International Conference of the IEEE Engineering in Medicine and …, 2010
422010
Principal Component Analysis Applied to Surface Electromyography: A Comprehensive Review
GR Naik, SE Suviseshamuthu, M Gobbo, A Acharyya, HT Nguyen
IEEE ACCESS Journal 4, 4025-4037, 2016
402016
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