Sazzad Hussain
Sazzad Hussain
Research Scientist, Health and Biosecurity, CSIRO
Verified email at - Homepage
TitleCited byYear
Techniques of EMG signal analysis: detection, processing, classification and applications
MBI Reaz, MS Hussain, F Mohd-Yasin
Biological procedures online 8 (1), 11, 2006
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
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
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
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
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
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
Hybrid fusion approach for detecting affects from multichannel physiology
MS Hussain, RA Calvo, PA Pour
International Conference on Affective Computing and Intelligent Interaction …, 2011
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
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
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
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
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
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 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
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
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
A framework for multimodal affect recognition
MS Hussain, RA Calvo
HCSNet Perception and Action Workshop: Tools and Techniques for Conducting …, 2009
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