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Omar Aziz
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A comparison of accuracy of fall detection algorithms (threshold-based vs. machine learning) using waist-mounted tri-axial accelerometer signals from a comprehensive set of …
O Aziz, M Musngi, EJ Park, G Mori, SN Robinovitch
Medical & biological engineering & computing 55, 45-55, 2017
2102017
An analysis of the accuracy of wearable sensors for classifying the causes of falls in humans
O Aziz, SN Robinovitch
IEEE transactions on neural systems and rehabilitation engineering 19 (6 …, 2011
1152011
Validation of accuracy of SVM-based fall detection system using real-world fall and non-fall datasets
O Aziz, J Klenk, L Schwickert, L Chiari, C Becker, EJ Park, G Mori, ...
PLoS one 12 (7), e0180318, 2017
942017
Distinguishing the causes of falls in humans using an array of wearable tri-axial accelerometers
O Aziz, EJ Park, G Mori, SN Robinovitch
Gait & posture 39 (1), 506-512, 2014
782014
Association between sedentary behaviour and physical, cognitive, and psychosocial status among older adults in assisted living
PM Leung, A Ejupi, KS van Schooten, O Aziz, F Feldman, DC Mackey, ...
BioMed research international 2017 (1), 9160504, 2017
712017
The effect of window size and lead time on pre-impact fall detection accuracy using support vector machine analysis of waist mounted inertial sensor data
O Aziz, CM Russell, EJ Park, SN Robinovitch
2014 36th Annual International Conference of the IEEE Engineering in …, 2014
522014
Development of a standard fall data format for signals from body-worn sensors: the FARSEEING consensus
J Klenk, L Chiari, JL Helbostad, W Zijlstra, K Aminian, C Todd, ...
362013
Distinguishing near-falls from daily activities with wearable accelerometers and gyroscopes using Support Vector Machines
O Aziz, EJ Park, G Mori, SN Robinovitch
2012 Annual International Conference of the IEEE Engineering in Medicine and …, 2012
322012
Classifying sitting, standing, and walking using plantar force data
KJ Merry, E Macdonald, M MacPherson, O Aziz, E Park, M Ryan, ...
Medical & Biological Engineering & Computing 59, 257-270, 2021
242021
Identifying the number and location of body worn sensors to accurately classify walking, transferring and sedentary activities
O Aziz, SN Robinovitch, EJ Park
2016 38th Annual International Conference of the IEEE Engineering in …, 2016
192016
Accuracy of a wavelet-based fall detection approach using an accelerometer and a barometric pressure sensor
A Ejupi, C Galang, O Aziz, EJ Park, S Robinovitch
2017 39th Annual International Conference of the IEEE Engineering in …, 2017
162017
Video recording of real-life falls in long term care provides new insight on the cause and circumstances of falls in older adults
S Robinovitch, F Feldman, D Wan, O Aziz, T Sarraf
Proceedings of the XIX Conference of the International Society for Posture …, 2009
162009
Combined regression and classification models for accurate estimation of walking speed using a wrist-worn IMU
S Zihajehzadeh, O Aziz, CG Tae, EJ Park
2018 40th Annual International Conference of the IEEE Engineering in …, 2018
72018
Improving energy expenditure estimation through activity classification and walking speed estimation using a smartwatch
O Aziz, S Zihajehzadeh, A Park, CG Tae, EJ Park
2020 42nd Annual International Conference of the IEEE Engineering in …, 2020
52020
Design and Validation of a Fall Event Detection System using Wearable Sensors: A Machine Learning Approach
O Aziz
Simon Fraser University, 2015
2015
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Articles 1–15