Aziz, Omar

Profile

Omar Aziz received the B.Eng. degree in 2005 in Mechatronics Engineering from the National University of Science and Technology, Islamabad, Pakistan, the MASc. degree in 2009 and the Ph.D. degree in 2015 from the School of Engineering Science, Simon Fraser University, Burnaby, BC, Canada. He is a Postdoctoral Fellow at Biomechatronic Systems Laboratory at Simon Fraser University, Surrey, BC, Canada. His research interests include: wearable sensors and their application to human movement analysis, human activity classification, injury prevention in older adults, biomechanics, robotics, and control. At Simon Fraser University, his research focuses on the development of a wearable sensor systems and corresponding machine learning algorithms to monitor activity patterns, to detect falls pre- and post-impact, to determine the causes of falls, and to distinguish events of imbalance and near falls from activities of daily living.

AGE-WELL Funded Projects

Technologies to Predict, Prevent, and Detect Falls (5.2 PRED-FALL)

Outputs

Title	Category	Date	Authors	Projects
Distinguishing near-falls from daily activities with wearable accelerometers and gyroscopes using support vector machines5.2 PRED-FALL Simon Fraser University	Scientific Excellence - Advancing Knowledge	2012-08-01	Omar Aziz	5.2 PRED-FALL
Accuracy of wearable accelerometers in distinguishing falls due to internal versus external perturbations.5.2 PRED-FALL Simon Fraser University	Scientific Excellence - Advancing Knowledge	2011-05-01	Omar Aziz, S.N. Robinovitch	5.2 PRED-FALL
The effect of window size and lead time on pre-impact fall detection accuracy using support vector machine analysis of waist mounted inertial sensor data5.2 PRED-FALL Simon Fraser University	Scientific Excellence - Advancing Knowledge	2014-08-01	Omar Aziz, Russell CM, Park EJ, Steve Robinovitch	5.2 PRED-FALL
Distinguishing the causes of falls in humans using an array of wearable tri-axial accelerometers.5.2 PRED-FALL Simon Fraser University	Scientific Excellence - Advancing Knowledge	2014-01-01	Omar Aziz, Park EJ, Greg Mori, Steve Robinovitch	5.2 PRED-FALL
Physics of Injuries	Scientific Excellence - Advancing Knowledge	2015-09-01	Steve Robinovitch, Russell CM, Omar Aziz, Yijian Yang, Shyrose Virani	5.2 PRED-FALL
Classifying walking, transferring and sedentary activities in humans using an array of wearable inertial sensors: a machine learning approach5.2 PRED-FALL Simon Fraser University	Scientific Excellence - Leadership	2016-06-03	Omar Aziz, Steve Robinovitch, Ed Park	5.2 PRED-FALL
Validation of accuracy of SVM-based fall detection system using real-world fall and non-fall datasets	Scientific Excellence - Advancing Knowledge	2017-07-05	Omar Aziz, "Klenk J", "Schwickert L", "Chiari L", "Becker C", Ed Park, Greg Mori, Steve Robinovitch	5.2 PRED-FALL
Association Between Sedentary Behaviour and Physical, Cognitive and Psychosocial Status Among Older Adults in Assisted Living	Scientific Excellence - Advancing Knowledge	2017-03-03	Ming Leung, Andreas Ejupi, Kim VanSchooten, Omar Aziz, Fabio Feldman, Dawn Mackey, "Maureen Ashe", Steve Robinovitch	5.2 PRED-FALL

Themes

Technology for Prevention and Reduction of Disease and Disability (WP5 TECH-DD)

Current Projects

Technologies to Predict, Prevent, and Detect Falls (5.2 PRED-FALL) (AR)

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Aziz, Omar

From AGE-WELL Forum

Aziz, Omar

Profile

AGE-WELL Funded Projects

Outputs

Themes

Current Projects