Distinguishing near-falls from daily activities with wearable accelerometers and gyroscopes using Support Vector Machines. - Omar Aziz; Edward J. Park; Greg Mori; Stephen N. Robinovitch (EMBC, 2012)

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. - Omar Aziz; Colin M. Russell; Edward J. Park; Stephen N. Robinovitch (EMBC, 2014)

Identifying the number and location of body worn sensors to accurately classify walking, transferring and sedentary activities. - Omar Aziz; Stephen N. Robinovitch; Edward J. Park (EMBC, 2016)

Accuracy of a wavelet-based fall detection approach using an accelerometer and a barometric pressure sensor. - Andreas Ejupi; Chantel Galang; Omar Aziz; Edward J. Park; Stephen N. Robinovitch (EMBC, 2017)

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. - Omar Aziz; Magnus Musngi; Edward J. Park; Greg Mori; Stephen N. Robinovitch (Medical Biol. Eng. Comput., 2017)

Combined Regression and Classification Models for Accurate Estimation of Walking Speed Using a Wrist-worn IMU. - Shaghayegh Zihajehzadeh; Omar Aziz; Chul-Gyu Tae; Edward J. Park (EMBC, 2018)

Improving Energy Expenditure Estimation through Activity Classification and Walking Speed Estimation Using a Smartwatch. - Omar Aziz; Shaghayegh Zihajehzadeh; Aerin Park; Chul-Gyu Tae; Edward J. Park (EMBC, 2020)

Classifying sitting, standing, and walking using plantar force data. - Kohle J. Merry; Evan Macdonald; Megan MacPherson; Omar Aziz; Edward J. Park; Michael Ryan; Carolyn J. Sparrey (Medical Biol. Eng. Comput., 2021)

Mapping the Educational Revolution: A Bibliometric Analysis of ChatGPT's Impact on Teaching and Learning. - Domingos Mondego; Omar Aziz (ITHET, 2024)