Michael B. Del Rosario 个人学术档案

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Stephen J RedmondAssociate Professor, University College Dublin在 ucd.ie 的电子邮件经过验证
Nigel LovellProfessor of Biomedical Engineering, University of New South Wales (UNSW Sydney)在 unsw.edu.au 的电子邮件经过验证
Kejia WangUniversity of New South Wales在 unsw.edu.au 的电子邮件经过验证
Dr Matthew A. BrodieAssociate Professor at UNSW, Research Fellow at Neuroscience Research在 unsw.edu.au 的电子邮件经过验证
Professor Kim DelbaereNeuroscience Research Australia, UNSW在 neura.edu.au 的电子邮件经过验证
Stephen LordNeuRA University of New South Wales在 neura.edu.au 的电子邮件经过验证
Heba KhamisUNSW Australia在 unsw.edu.au 的电子邮件经过验证
Michael RaitorMS, PhD Student, Stanford University在 stanford.edu 的电子邮件经过验证
Luke Sy, PhDUniversity of New South Wales在 unswalumni.com 的电子邮件经过验证
Jennifer YuDepartment of Cardiology, Prince of Wales Hospital; Prince of Wales Clinical School, UNSW在 health.nsw.gov.au 的电子邮件经过验证
Guenter SchreierSenior Scientist, AIT Austrian Institute of Technology GmbH; Adj. Prof, Graz University of在 ait.ac.at 的电子邮件经过验证
Sze-Yuan OoiConjoint Professor UNSW Sydney在 unsw.edu.au 的电子邮件经过验证

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Michael B. Del Rosario

Research Fellow, Graduate School of Biomedical Engineering, University of New South Wales

在 unsw.edu.au 的电子邮件经过验证

Wearable Sensors Sensor Fusion Biomechanics Human Activity Recognition Machine Learning


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Tracking the evolution of smartphone sensing for monitoring human movement MB Del Rosario, SJ Redmond, NH Lovell Sensors 15 (8), 18901-18933, 2015	276	2015
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, 663-674, 2016	169	2016
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	92	2016
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	88	2014
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 IEEE Transactions on Biomedical Engineering 68 (4), 1293-1304, 2020	61	2020
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	56	2018
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	40	2017
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	31	2015
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	20	2014
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	10	2019
Convergence of smartphone technology and algorithms that estimate physical activity for cardiac rehabilitation M Del Rosario UNSW Sydney, 2017		2017

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