Dr Sazzad Hussain
Dr Sazzad Hussain
Snr Research & Data Sci. Officer | Research & Development | DCS NSW Government
Verified email at centreforwhs.nsw.gov.au
Cited by
Cited by
Techniques of EMG signal analysis: detection, processing, classification and applications
MBI Reaz, MS Hussain, F Mohd-Yasin
Biological procedures online 8 (1), 11, 2006
A multi-componential analysis of emotions during complex learning with an intelligent multi-agent system
JM Harley, F Bouchet, MS Hussain, R Azevedo, R Calvo
Computers in Human Behavior 48, 615-625, 2015
Detection and processing techniques of FECG signal for fetal monitoring
MA Hasan, MBI Reaz, MI Ibrahimy, MS Hussain, J Uddin
Biological procedures online 11 (1), 263, 2009
Natural language processing in mental health applications using non-clinical texts
RA Calvo, DN Milne, MS Hussain, H Christensen
Natural Language Engineering 23 (5), 649-685, 2017
Electromyography signal analysis using wavelet transform and higher order statistics to determine muscle contraction
MS Hussain, MBI Reaz, F Mohd‐Yasin, MI Ibrahimy
Expert Systems 26 (1), 35-48, 2009
Affect detection from multichannel physiology during learning sessions with AutoTutor
MS Hussain, O AlZoubi, RA Calvo, SK D’Mello
International Conference on Artificial Intelligence in Education, 131-138, 2011
The impact of system feedback on learners’ affective and physiological states
PA Pour, MS Hussain, O AlZoubi, S D’Mello, RA Calvo
International Conference on Intelligent Tutoring Systems, 264-273, 2010
Effectiveness of the wavelet transform on the surface EMG to understand the muscle fatigue during walk
M Hussain, M Mamun
Measurement Science Review 12 (1), 28-33, 2012
A study on discrete wavelet-based noise removal from EEG signals
K Asaduzzaman, MBI Reaz, F Mohd-Yasin, KS Sim, MS Hussain
Advances in Computational Biology, 593-599, 2010
Pupillary response based cognitive workload index under luminance and emotional changes
J Xu, Y Wang, F Chen, H Choi, G Li, S Chen, S Hussain
CHI'11 Extended Abstracts on Human Factors in Computing Systems, 1627-1632, 2011
Automatic cognitive load detection from face, physiology, task performance and fusion during affective interference
MS Hussain, RA Calvo, F Chen
Interacting with computers 26 (3), 256-268, 2013
Hybrid fusion approach for detecting affects from multichannel physiology
MS Hussain, RA Calvo, PA Pour
International Conference on Affective Computing and Intelligent Interaction …, 2011
Combining classifiers in multimodal affect detection
MS Hussain, H Monkaresi, RA Calvo
Proceedings of the Tenth Australasian Data Mining Conference-Volume 134, 103-108, 2012
Categorical vs. dimensional representations in multimodal affect detection during learning
MS Hussain, H Monkaresi, RA Calvo
International Conference on Intelligent Tutoring Systems, 78-83, 2012
Classification of affects using head movement, skin color features and physiological signals
H Monkaresi, MS Hussain, RA Calvo
2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2012
Affective modeling from multichannel physiology: analysis of day differences
O Alzoubi, MS Hussain, S D’Mello, RA Calvo
International Conference on Affective Computing and Intelligent Interaction …, 2011
Supporting the delivery of total knee replacements care for both patients and their clinicians with a mobile app and web-based tool: randomized controlled trial protocol
MS Hussain, J Li, E Brindal, Y van Kasteren, M Varnfield, A Reeson, ...
JMIR research protocols 6 (3), e32, 2017
FPGA Implementation of RSA Encryption Engine with Flexible Key Size
MI Ibrahimy, MBI Reaz, K Asaduzzaman, S Hussain
International Journal of Communications 1 (3), 107-113, 2007
Classification of cognitive load from task performance & multichannel physiology during affective changes
S Hussain, S Chen, RA Calvo, F Chen
MMCogEmS: Inferring Cognitive and Emotional States from Multimodal Measures …, 2011
Automatic natural expression recognition using head movement and skin color features
H Monkaresi, RA Calvo, MS Hussain
Proceedings of the International Working Conference on Advanced Visual …, 2012
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