| 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 | 204 | 2017 |
| 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 | 114 | 2011 |
| 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 | 93 | 2017 |
| 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 | 78 | 2014 |
| 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 | 68 | 2017 |
| 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 | 52 | 2014 |
| 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, ... | 36 | 2013 |
| 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 | 32 | 2012 |
| 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 | 23 | 2021 |
| 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 | 19 | 2016 |
| 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 | 16 | 2017 |
| 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 | 16 | 2009 |
| 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 | 7 | 2018 |
| 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 | 5 | 2020 |
| Design and Validation of a Fall Event Detection System using Wearable Sensors: A Machine Learning Approach O Aziz Simon Fraser University, 2015 | | 2015 |
Stephen RobinovitchProfessor, Simon Fraser University, Biomedical Physiology and Kinesiology, Engineering Science在 sfu.ca 的电子邮件经过验证
