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PUBLICATIONS

2019:

[61] A. Cruz de Araujo*, S. A. Etemad, "Deep Neural Networks for Predicting Vehicle Travel Times", Accepted, IEEE Sensors, 2019. 

[60] J. Kulchyk, S. A. Etemad, "Activity Recognition with Wearable Accelerometers using Deep Convolutional Neural Network and the Effect of Sensor Placement", Accepted, IEEE Sensors, 2019.

[59] A. Sepas-Moghaddam, A. Etemad, P. L. Correia, F. Pereira, "A Deep Framework for Facial Emotion Recognition using Light Field Images", Accepted, Affective Computing and Intelligent Interaction (ACII), 2019.

[58] P. Sarkar, K. Ross, D. Rodenburg, P. Hungler, A. Etemad, "Classification of Cognitive Load and Expertise in Adaptive Simulation using Deep Multitask Learning", Accepted, Affective Computing and Intelligent Interaction (ACII), 2019.

[57] S. Ghorbani, S. A. Etemad, N. Troje, “Automatic Initialization and Tracking of Markers in Optical Motion Capture by Learning to Rank”, CVR Vision Conference , 2019. *Best Poster Award (second place)*

[56] V. Davoodnia, S. A. Etemad, "Identity and Posture Recognition in Smart Beds with Deep Multitask Learning", Accepted, IEEE Conference on Systems, Man, and Cybernetics (SMC), 2019.

[55] A. Hajavi, A. Etemad, "A Deep Neural Network for Short-Segment Speaker Recognition", Accepted, INTERSPEECH, 2019.

[54] S. Ghorbani, S. A. Etemad, N. Troje, “Auto-labelling of Markers in Optical Motion Capture by Permutation Learning”, 36th Computer Graphics International (CGI), [Advances in Computer Graphics, LNCS, vol 11542, pp. 167--178], 2019. *Best Full Paper Award*

[53] D. Rodenburg, D. Howes, A. Ruberto, P. Hungler, S. A. Etemad, A. Szulewski, “Creating the Perfect Tango: Sensor-based Physiological Monitoring and Analysis for Adaptive Simulation based on Cognitive Load”, Proceedings of the 2th International Cognitive Load Theory Conference, 2019.

[52] A. B. Zreiba, M. Ahmadi, A. Etemad, “Simulation of Human Balance Impairment on a Biped Robot”, Proceedings of the 7th International Conference of Control, Dynamic Systems, and Robotics, No. 139, 2019.

[51] L. D. Rodgers, J. Selinger, S. A. Etemad, and M. J. Rainbow, “A Comparison of Measurement Techniques for Resultant Angular Velocities in the Lower Limbs”, Proceedings of the 27th Congress of the International Society of Biomechanics (ISB/ASB), 2019.

[50] G. Hajian, S. A. Etemad, E. Morin, “An Investigation of Dimensionality Reduction Techniques for EMG-based Force Estimation”, Accepted, IEEE-EMBS International Engineering in Medicine and Biology Conference (EMBC), 2019.

[49] G. Hajian, S. A. Etemad, E. Morin, “PCA-Based Channel Selection in High-Density EMG for Improving Force Estimation”, Accepted, IEEE-EMBS International Engineering in Medicine and Biology Conference (EMBC), 2019.

[48] A. S. Kashi, A. I. Abd El-Rahman, J. C. Cartledge, S. A. Etemad, “Extending a Nonlinear SNR Estimator to Include Shaping Distribution Identification for Probabilistically Shaped 64-QAM Signals”, IEEE Journal of Lightwave Technology, vol. 37, no. 13, pp. 3252-3260, 2019.

[47] G. Hajian, E. Morin, S. A. Etemad, “EMG-based Force Estimation using Artificial Neural Networks”, Proceedings of the 42nd Canadian Medical and Biological Engineering Conference (CMBEC), 2019.

[46] R. Gupta, S. A. Etemad, A. Q. Javaid, “Method for Sensing of Biometric Data and Use Thereof for Determining Emotional State of a User”, U.S. Patent 15/639,570, 2019.


2018:

[45] D. Rodenburg, P. Hungler, S. A. Etemad, D. Howes, A. Szulewski, J. McLellan, “Dynamically Adaptive Simulation Based on Expertise and Cognitive Load”, IEEE Games, Entertainment, Media Conference (GEM), pp. 1–6, 2018.

[44] G. Zhang, E. Morin, Y. Zhang, S. A. Etemad, “Non-invasive Detection of Low-level Muscle Fatigue using Surface EMG with Wavelet Decomposition”, IEEE-EMBS International Engineering in Medicine and Biology Conference (EMBC), pp. 5648–5651, 2018.

[43] G. Hajian, B. Behinaein, E. Morin, S. A. Etemad, “Improving Wrist Force Estimation with Surface EMG During Isometric Contractions”, Canadian Medical and Biological Engineering Conference (CMBEC), vol. 41, pp. 1–4, 2018. *Best Paper Award (third prize)*

[42] A. S. Kashi, Q. Zhuge, J. C. Cartledge, S. A. Etemad, A. Borowiec, D. Charlton, C. Laperle, M. O’Sullivan, “Nonlinear Signal-to-Noise Ratio Estimation in Coherent Optical Fiber Transmission Systems Using Artificial Neural Networks”, Journal of Lightwave Technology, vol. 36, no. 23, pp. 5424–5431, 2018.

[41] S. A. Etemad, L. MacEachern, M. Klibanov, R. Houmanfar, “Systems, Methods and Device for Detecting Heart Rate”, U.S. Patent, 9,770,179, 2018.

[40] L. MacEachern, M. Klibanov, N. Stupich, S. A. Etemad, N. Iyer, A. Straka, “Systems, Methods and Devices for Acquiring and Processing Physiological Signals”, U.S. Patent, 9,782,104, 2018.


2017:

[39] Z. Zhao, A. Arya, A. Whitehead, G. Chan, S. A. Etemad, “Keeping Users Engaged through Feature Updates: A Long-term Study of using Wearable-based Exergames”, ACM Conference on Human Factors in Computing Systems (CHI), pp. 1053–1064, 2017.

[38] R. Gupta, A. Q. Javaid, S. A. Etemad, “Towards Semi-supervised Coherence-based ECG Quality Assessment in Different Posture and Movement Conditions”, IEEE EMBS International Conference on Biomedical and Health Informatics (BHI), pp. 413–416, 2017.

[37] A. Q. Javaid, R. Gupta, A. Mihailidis, S. A. Etemad, “Balance-based Time-FrequencyFeatures for Discrimination of Young and Elderly Subjects using Unsupervised Methods”, IEEE EMBS International Conference on Biomedical and Health Informatics (BHI), pp. 453–456, 2017.

[36] S. A. Etemad, D. Stone, A. Straka, R. Gupta, A. Javaid, M. Klibanov, “Method for Sensing of Biometric Data and Use Thereof for Bidirectional Communication with Networked Devices”, U.S. Patent, 62/528,565, 2017.

[35] A. Straka, M. Zhang, S. A. Etemad, D. Stone, J. Yang, P. Jain, T. Gabardo, M. Klibanov, “Sensor Band for Multimodal Sensing of Biometric Data”, U.S. Patent, 15/615,035, 2017.


2016:

[34] S. A. Etemad, A. Arya, ”Expert-driven Perceptual Shortcuts for Style and Affect in Motion”, IEEE Transactions on Human-Machine Systems, vol. 46, no. 4, pp. 534–545, 2016.

[33] Z. Zhao, S. A. Etemad, A. Arya, A., Whitehead, “Motivational Impacts and Sustainability Analysis of a Wearable-based Gamified Exercise and Fitness System”, Proceedings of ACM CHI Play, EA, pp. 359–365, 2016.

[32] Z. Zhao, S. A. Etemad, A. Arya, “Usability and Motivational Effects of a Gamified Exercise and Fitness System based on Wearable Devices”, Lecture Notes in Computer Science, vol. 9747, pp. 333–344, 2016 [also in: Proceedings of the 18th International Conference on Human-Computer Interaction (HCII)].


2015:

[31] S. A. Etemad, A. Arya, A. Parush, S. DiPaola, “Perceptual Validity in Animation ofHuman Motion”, Computer Animation and Virtual Worlds, vol. 27, no. 1, pp. 58–71, 2015.

[30] S. A. Etemad, A. Arya, “Correlation Optimized Time Warping For Motion”, International Journal of Computer Graphics (The Visual Computer), vol. 31, no. 12, pp. 1569–1586, 2015.

[29] Z. Zhao, S. A. Etemad, A. Arya, “Gamification of Exercise and Fitness using Wearable Activity Trackers”, Advances in Intelligent Systems and Computing, vol. 392, pp.233–240, 2015 [also in: 10th International Symposium on Computer Science in Sport (ISCSS 2015)].


2014:

[28] S. A. Etemad, R. Houmanfar, M. Klibanov, L. MacEachern, K. Firouzi, “Systems, Methods and Devices for Exercise and Activity Metric Computation”, U.S. Patent, 14/669,726, 2014.

[27] R. Houmanfar, S. A. Etemad, L. MacEachern, M. Klibanov, “Systems, Methods and Devices for Activity Recognition”, U.S. Patent, 14/669,689, 2014.

[26] S. A. Etemad, A. Arya, “Classification and Translation of Style and Affect in Human Motion using RBF Networks”, Neurocomputing, vol. 129, pp. 585–595, 2014.

[25] S. A. Etemad, A. Arya, “Principles of Marketing, “Extracting Movement, Posture, and Temporal Style Features from Human Motion”, Biologically Inspired Cognitive Architectures, vol. 7, pp. 15–25, 2014.

[24] S. A. Etemad, A. Arya, A. Parush, “Additivity in Perception of Affect from Limb Motion”, Neuroscience Letters, vol. 558, pp. 132–136, 2014.

[23] S. A. Etemad, A. Arya, “Mining Expert-driven Models for Synthesis and Classification of Affective Motion”, ACM Conference on Human Factors in Computing Systems (CHI), Workshop on Gesture-based Interaction Design: Communication and Cognition, pp. 81–85, 2014.


2013:

[22] F. Farhadi-Niaki, S. A. Etemad, A. Arya, “Design and Usability Analysis of Gesture-based Control for Common Desktop Tasks”, Lecture Notes in Computer Science, vol. 8007, pp. 215–224, 2013 [Proceedings of the 15th International Conference on Human-Computer Interaction International (HCII)].

[21] S. A. Etemad, A. Arya, “A Customizable Time Warping Method for Motion Alignment”, Proceedings 7th IEEE International Conference on Semantic Computing (ICSC), pp.387–388, 2013.

[20] S. A. Etemad, A. Arya, “Motion Style Translation with Radial Basis Function Networks”, Proceedings of the International Conference on Multimedia and Human Computer Interaction (MHCI), no. 36, 2013.

[19] S. A. Etemad, A. Arya, “Perceptually Valid Motion for Avatars”, Proceedings of the International Conference on Multimedia and Human Computer Interaction (MHCI), no. 72, 2013.

[18] F. Farhadi-Niaki, A. Arya, J. Gerroir, S. A. Etemad, R. Laganiere, P. Payeur, R. Biddle, “Usability Study of Static/Dynamic Gestures and Haptic Input as Interface to 3D Games”, Proceedings of the 6th International Conference on Advances in Computer-Human Interactions (ACHI), pp. 315–323, 2013.


2012:

[17] N. Sepehri Boroujeni, S. A. Etemad, A. Whitehead, “Fast Obstacle Detection using Targeted Optical Flow”, Proceedings of the 19th IEEE International Conference on Image Processing (ICIP), pp. 65–68, 2012. (Oral Presentation - Acceptance Rate = 12%)

[16] S. A. Etemad, F. Sheikholeslam, “Persian Optical Character Recognition using ARTMAP Neural Networks”, Proceedings of the International Conference on Electrical and Computer Systems (ICECS), no. 176, 2012.

[15] N. Sepehri Boroujeni, S. A. Etemad, “A Novel Diamond-based Block Matching Algorithm for Very Fast Motion Estimation”, Proceedings of the International Conference on Electrical and Computer Systems (ICECS), no. 174, 2012.

[14] N. Sepehri Boroujeni, S. A. Etemad, A. Whitehead, “Horizon Detection using Segmentation for UAV Applications”, Proceedings of the 9th Conference on Computer andRobot Vision (CRV), pp. 346–352, 2012.

[13] S. A. Etemad, A. Arya, “Segmentation and Classification of Human Actions and Actor Characteristics with 3D Motion Data”, International Journal of Artificial Intelligence & Applications, vol. 3, no. 4, pp. 65–81, 2012.


2011:

[12] S. A. Etemad, T. White, “An Ant-inspired Algorithm for Detection of Image Edge Features”, Applied Soft Computing, vol. 11, pp. 4883–4893, 2011.

[11] S. A. Etemad, A. Arya, “Separation and Extraction of Energy Variants from Human Motion using Temporal Minimization”, Proceedings of the IEEE Conference on Virtual Environments, Human-Computer Interfaces and Measurement Systems (VECIMS), pp. 73–77, 2011.

[10] S. A. Etemad, N. Sepehri Boroujeni, A. Arya, “On the Environmental Impacts of Virtual Technologies”, Proceedings of the International Conference on Environmental Pollution and Remediation (ICEPR), no. 88, 2011.

[9] S. A. Etemad, A. Arya, A. Parush, “Spatial Perceptual Weights of Energy-related Features in Animation of Human Motion”, Proceedings of Computer Graphics International (CGI), S15, 2011.


2010:

[8] S. A. Etemad, G. A. Wainer, “DEVS-based Modeling of a Human Motion Data Synthesis System”, Proceedings of the ACM/SCS Summer Computer Simulation Conference (SummerSim), pp. 469–474, 2010.

[7] S. A. Etemad, A. Arya, “Modeling and Transformation of 3D Human Motion”, Proceedings of the 5th International Conference on Computer Graphics Theory and Applications (GRAPP), pp. 307315, 2010.


2009:

[6] S. A. Etemad, A. Arya, “3D Human Action Recognition and Style Transformations Using Resilient Back-propagation Neural Networks”, Proceedings of the IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS), pp. 296–301,2009.

[5] S. A. Etemad, P. Payeur, A. Arya, “Automatic Temporal Location and Classification of Human Actions based on Optical Features”, Proceedings of the 2nd International IEEE Congress on Image and Signal Processing (CISP), pp. 1–5, 2009.

[4] P. Slinger, S. A. Etemad, A. Arya, “Intelligent Toolkit for Procedural Animation of Human Behaviours”, Proceedings of the ACM FuturePlay, pp. 27–28, 2009.

[3] S. A. Etemad, A. Arya, “Recognition and Synthesis of 3D Human Motion with Person-alized Variations”, Proceedings of the IEEE International Conference on Multimedia Computing and Systems (ICMCS), pp. 106–111, 2009.

[2] S. A. Etemad, J. Ghaisari, “Estimating Shaft Crack Specifications Using Shaft Vibration Analysis and Neural Networks”, Proceedings of the IEEE Circuits and Systems Testingand Diagnosis (ICTD), pp. 1–5, 2009.


2007:

[1] S. A. Etemad, S. Salimi, “A Non-Transistor-Based Non-Volatile Nanoscale Memory”, Proceedings of the Nanotechnology in Environments Conference (NEC), pp. 1103–1107, 2007.


Invited Talks and Interviews:

[8] "Ambient Intelligence: a paradigm shift in IoT and wearable technologies", IoT613, 2018

[7] Tak title withheld, Irdeto, 2018

[6] "It’s alive! Dr. Ali Etemad looks to create the building blocks for a world of ambient intelligence", The Complete Engineer (Queen's University Magazine), 2017.

[5] “Detecting Emotions from Human Motion using Machine Learning”, Machine Learning Ottawa, Ottawa, 2016.

[4] "Perceptual Machines", TEDxKanata, 2016.

[3] “Unlocking the Power of Wearable Technologies with Data Science: Present, Future, and Challenges”, Data Science Distinguished Speaker Seminar Series, Carleton University Institute of Data Science, Ottawa, Canada, 2016.

[2] "Perceptually valid motion processing", Advanced Biomechatronics and Locomotion Laboratory, Ottawa, Canada, 2014.

[1] "Researching Human Computer Interaction", The Graduate (Carleton University Magazine), 2013.


Non-refereed Publications:

[3] S. A. Etemad, A. Arya, A. Parush, “Spatial Perceptual Weights of Secondary Variants in Human Motion for Multimedia Applications”, Technical Report, Carleton University, SCE-13-01, 2013

[2] N. Sepehri Boroujeni, S. A. Etemad, “A New Diamond-based Multi-oriented Block Matching Algorithm for Very Fast Motion Estimation”, Technical Report, Carleton University, SCE-11-06, 2011

[1] S. A. Etemad, A. Arya, “Extraction of Secondary Features from Gait Trajectories using Spatiotemporal Spline Optimization”, Technical Report, Carleton University, SCE-11-05, 2011


Theses:

[3] S. A. Etemad, “Perceptually Guided Processing of Style and Affect in Human Motion for Multimedia Applications”, Ph.D. Thesis, Carleton University.

[2] S. A. Etemad, “Automatic Segmentation, Classification, and Re-synthesis of Human Actions in 3D Space”, M.A.Sc. Thesis, Carleton University.

[1] S. A. Etemad, “Persian Handwriting Optical Character Recognition (OCR) using ARTMAP Neural Networks”, B.Sc. Thesis, Isfahan University of Technology.