Noman Naseer
Noman Naseer
PhD in Brain-Controlled Robotics; Air University, Islamabad; Pusan National
Verifisert e-postadresse på pusan.ac.kr - Startside
Sitert av
Sitert av
fNIRS-based brain-computer interfaces: a review
N Naseer, KS Hong
Frontiers in human neuroscience 9, 3, 2015
Classification of functional near-infrared spectroscopy signals corresponding to the right-and left-wrist motor imagery for development of a brain–computer interface
N Naseer, KS Hong
Neuroscience letters 553, 84-89, 2013
Classification of prefrontal and motor cortex signals for three-class fNIRS–BCI
KS Hong, N Naseer, YH Kim
Neuroscience letters 587, 87-92, 2015
Online binary decision decoding using functional near-infrared spectroscopy for the development of brain–computer interface
N Naseer, MJ Hong, KS Hong
Experimental brain research 232, 555-564, 2014
Determining optimal feature-combination for LDA classification of functional near-infrared spectroscopy signals in brain-computer interface application
N Naseer, FM Noori, NK Qureshi, KS Hong
Frontiers in human neuroscience 10, 237, 2016
Analysis of different classification techniques for two-class functional near-infrared spectroscopy based brain-computer interface
N Naseer, NK Qureshi, FM Noori, KS Hong
Computational Intelligence and Neuroscience, 2016
Reduction of delay in detecting initial dips from functional near-infrared spectroscopy signals using vector-based phase analysis
KS Hong, N Naseer
International Journal of Neural Systems 26 (03), 1650012, 2016
Air University
N Naseer
Pakistan, 0
Optimal feature selection from fNIRS signals using genetic algorithms for BCI
FM Noori, N Naseer, NK Qureshi, H Nazeer, RA Khan
Neuroscience letters 647, 61-66, 2017
Decoding answers to four-choice questions using functional near infrared spectroscopy
N Naseer, KS Hong
Journal of Near Infrared Spectroscopy 23 (1), 23-31, 2015
Neuroergonomics: the brain at work and in everyday life
H Ayaz, F Dehais
Academic Press, 2018
fNIRS-based Neurorobotic Interface for gait rehabilitation
RA Khan, N Naseer, NK Qureshi, FM Noori, H Nazeer, MU Khan
Journal of neuroengineering and rehabilitation 15 (1), 1-17, 2018
Enhanced drowsiness detection using deep learning: an fNIRS study
MA Tanveer, MJ Khan, MJ Qureshi, N Naseer, KS Hong
IEEE access 7, 137920-137929, 2019
An Adaptive Multi-Robot Therapy for Improving Joint Attention and Imitation of ASD Children
S Ali, F Mehmood, D Dancey, Y Ayaz, MJ Khan, N Naseer, RDC Amadeu, ...
IEEE ACCESS 7, 81808-81825, 2019
Enhancing classification performance of functional near-infrared spectroscopy-brain–computer interface using adaptive estimation of general linear model coefficients
NK Qureshi, N Naseer, FM Noori, H Nazeer, RA Khan, S Saleem
Frontiers in neurorobotics, 33, 2017
Design, control and implementation of a ball on plate balancing system
A Zeeshan, N Nauman, MJ Khan
Applied Sciences and Technology (IBCAST), 2012 9th International Bhurban …, 2012
Enhanced accuracy for multiclass mental workload detection using long short-term memory for brain–computer interface
U Asgher, K Khalil, MJ Khan, R Ahmad, SI Butt, Y Ayaz, N Naseer, S Nazir
Frontiers in neuroscience 14, 584, 2020
Hybrid EEG-NIRS based BCI for quadcopter control
MJ Khan, KS Hong, N Naseer, MR Bhutta
2015 54th annual conference of the society of instrument and control …, 2015
Enhancing classification accuracy of fNIRS-BCI using features acquired from vector-based phase analysis
H Nazeer, N Naseer, RA Khan, FM Noori, NK Qureshi, US Khan, MJ Khan
Journal of Neural Engineering 17 (5), 056025, 2020
Improving classification accuracy of covert yes/no response decoding using support vector machines: an fNIRS study
N Naseer, KS Hong, MR Bhutta, MJ Khan
2014 International Conference on Robotics and Emerging Allied Technologies …, 2014
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