Michael B. Del Rosario

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	전체	2019년 이후
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Stephen J RedmondAssociate Professor, University College Dublinucd.ie의 이메일 확인됨
Nigel LovellUniversity of New South Wales (UNSW Sydney)unsw.edu.au의 이메일 확인됨
Kejia WangUniversity of New South Walesunsw.edu.au의 이메일 확인됨
Dr Matthew A. BrodieAssociate Professor at UNSW, Research Fellow at Neuroscience Researchunsw.edu.au의 이메일 확인됨
Professor Kim DelbaereNeuroscience Research Australia, UNSWneura.edu.au의 이메일 확인됨
Stephen LordNeuRA University of New South Walesneura.edu.au의 이메일 확인됨
Heba KhamisUNSW Australiaunsw.edu.au의 이메일 확인됨
Michael RaitorMS, PhD Student, Stanford Universitystanford.edu의 이메일 확인됨
Luke Sy, PhDUniversity of New South Walesunswalumni.com의 이메일 확인됨
Jennifer YuDepartment of Cardiology, Prince of Wales Hospital; Prince of Wales Clinical School, UNSWhealth.nsw.gov.au의 이메일 확인됨
Guenter SchreierSenior Scientist, AIT Austrian Institute of Technology GmbH; Adj. Prof, Graz University ofait.ac.at의 이메일 확인됨
Sze-Yuan OoiConjoint Associate Professor UNSW Sydneyunsw.edu.au의 이메일 확인됨

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Michael B. Del Rosario

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

unsw.edu.au의 이메일 확인됨

Wearable Sensors Sensor Fusion Biomechanics Human Activity Recognition Machine Learning


제목 서지정보순 정렬 연도순 정렬 제목순 정렬	인용 인용	연도
Tracking the evolution of smartphone sensing for monitoring human movement MB Del Rosario, SJ Redmond, NH Lovell Sensors 15 (8), 18901-18933, 2015	260	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	162	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	88	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	82	2014
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	53	2018
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	52	2020
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	36	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	30	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	21	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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