O. Aziz

发表

Classifying sitting, standing, and walking using plantar force data

Kohle J. Merry, Carolyn J. Sparrey, Michael Ryan, 2021, Medical & Biological Engineering & Computing.

Classifying sitting, standing, and walking using plantar force data

Kohle J. Merry, Evan Macdonald, Megan MacPherson, 2021, Medical & Biological Engineering & Computing.

Development of a standard fall data format for signals from body-worn sensors

K. Aminian, C. Becker, L. Schwickert, 2013, Zeitschrift für Gerontologie und Geriatrie.

Distinguishing the causes of falls in humans using an array of wearable tri-axial accelerometers.

Greg Mori, Omar Aziz, Edward J Park, 2014, Gait & posture.

An Analysis of the Accuracy of Wearable Sensors for Classifying the Causes of Falls in Humans

S. N. Robinovitch, S. Robinovitch, O. Aziz, 2011, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

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 falls and non-fall trials

S. Robinovitch, Greg Mori, E. Park, 2016, Medical and Biological Engineering and Computing.

Validation of accuracy of SVM-based fall detection system using real-world fall and non-fall datasets

Lorenzo Chiari, Greg Mori, Jochen Klenk, 2017, PloS one.

Accuracy of a wavelet-based fall detection approach using an accelerometer and a barometric pressure sensor

Edward J. Park, Omar Aziz, Stephen N. Robinovitch, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Distinguishing near-falls from daily activities with wearable accelerometers and gyroscopes using Support Vector Machines

Greg Mori, Edward J. Park, Omar Aziz, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Design and Validation of a Fall Event Detection System using Wearable Sensors: A Machine Learning Approach

Omar Aziz, O. Aziz, 2015 .

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

Edward J. Park, Omar Aziz, Stephen N. Robinovitch, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Association between Sedentary Behaviour and Physical, Cognitive, and Psychosocial Status among Older Adults in Assisted Living

Omar Aziz, Fabio Feldman, Stephen N Robinovitch, 2017, BioMed research international.

An Analysis of the Accuracy of Wearable Sensors for Classifying the Causes of Falls in Humans

S. Robinovitch, O. Aziz, 2011, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

AN ANALYSIS OF THE ACCURACY OF WEARABLE SENSORS FOR DISTINGUISHING THE CAUSE OF FALLS

O. Aziz, 2009 .

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 falls and non-fall trials

S. Robinovitch, Greg Mori, E. Park, 2016, Medical & Biological Engineering & Computing.