Noman Naseer
Noman Naseer
PhD in Brain-Controlled Robotics; Air University, Islamabad; Pusan National
Verified email at - Homepage
Cited by
Cited by
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
Neuroergonomics: The brain at work and in everyday life
H Ayaz, F Dehais
Academic Press, 2018
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
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
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
Optical imaging and spectroscopy for the study of the human brain: status report
H Ayaz, WB Baker, G Blaney, DA Boas, H Bortfeld, K Brady, J Brake, ...
Neurophotonics 9 (S2), S24001, 2022
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
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
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 11, 33, 2017
Analysis of human gait using hybrid EEG-fNIRS-based BCI system: a review
H Khan, N Naseer, A Yazidi, PK Eide, HW Hassan, P Mirtaheri
Frontiers in Human Neuroscience 14, 613254, 2021
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
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
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