Michael B. Del Rosario
Michael B. Del Rosario
Research Fellow, Graduate School of Biomedical Engineering, University of New South Wales
Verified email at unsw.edu.au
Title
Cited by
Cited by
Year
Tracking the evolution of smartphone sensing for monitoring human movement
MB Del Rosario, SJ Redmond, NH Lovell
Sensors 15 (8), 18901-18933, 2015
1372015
A comparison of activity classification in younger and older cohorts using a smartphone
MB Del Rosario, K Wang, J Wang, Y Liu, M Brodie, K Delbaere, NH Lovell, ...
Physiological measurement 35 (11), 2269, 2014
602014
Wearable pendant device monitoring using new wavelet-based methods shows daily life and laboratory gaits are different
MAD Brodie, MJM Coppens, SR Lord, NH Lovell, YJ Gschwind, ...
Medical & biological engineering & computing 54 (4), 663-674, 2016
592016
Quaternion-based complementary filter for attitude determination of a smartphone
MB Del Rosario, NH Lovell, SJ Redmond
IEEE Sensors Journal 16 (15), 6008-6017, 2016
342016
New methods to monitor stair ascents using a wearable pendant device reveal how behavior, fear, and frailty influence falls in octogenarians
MA Brodie, K Wang, K Delbaere, M Persiani, NH Lovell, SJ Redmond, ...
IEEE transactions on biomedical engineering 62 (11), 2595-2601, 2015
182015
Computationally-Efficient Adaptive Error-State Kalman Filter for Attitude Estimation
MB Del Rosario, H Khamis, P Ngo, NH Lovell, SJ Redmond
IEEE Sensors Journal, 2018
102018
Inertial measurements of free-living activities: Assessing mobility to predict falls
K Wang, NH Lovell, MB Del Rosario, Y Liu, J Wang, MR Narayanan, ...
2014 36th Annual International Conference of the IEEE Engineering in …, 2014
102014
Evaluation of an mHealth-based Adjunct to Outpatient Cardiac Rehabilitation
MB Del Rosario, NH Lovell, J Fildes, K Holgate, J Yu, C Ferry, G Schreier, ...
IEEE Journal of Biomedical and Health Informatics, 1-11, 2017
82017
Estimating Lower Limb Kinematics using a Reduced Wearable Sensor Count
L Sy, M Raitor, M Del Rosario, H Khamis, L Kark, NH Lovell, SJ Redmond
arXiv preprint arXiv:1910.00910, 2019
22019
Learning the Orientation of a Loosely-Fixed Wearable IMU Relative to the Body Improves the Recognition Rate of Human Postures and Activities
MB Del Rosario, NH Lovell, SJ Redmond
Sensors 19 (13), 2845, 2019
12019
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Articles 1–10