Terry TaeWoong Um
Terry TaeWoong Um
PhD Candidate, University of Waterloo
Verified email at - Homepage
Cited by
Cited by
Data augmentation of wearable sensor data for parkinson’s disease monitoring using convolutional neural networks
TT Um, FMJ Pfister, D Pichler, S Endo, M Lang, S Hirche, U Fietzek, ...
Proceedings of the 19th ACM International Conference on Multimodal …, 2017
Multi-categorical deep learning neural network to classify retinal images: A pilot study employing small database
JY Choi, TK Yoo, JG Seo, J Kwak, TT Um, TH Rim
PloS one 12 (11), e0187336, 2017
Exercise motion classification from large-scale wearable sensor data using convolutional neural networks
TT Um, V Babakeshizadeh, D Kulić
Intelligent Robots and Systems (IROS), 2017 IEEE/RSJ International …, 2017
Tangent bundle RRT: A randomized algorithm for constrained motion planning
B Kim, TT Um, C Suh, FC Park
Robotica 34 (1), 202-225, 2016
High-resolution motor state detection in Parkinson’s disease using convolutional neural networks
FMJ Pfister, TT Um, DC Pichler, J Goschenhofer, K Abedinpour, M Lang, ...
Scientific reports 10 (1), 5860, 2020
Tangent space RRT: A randomized planning algorithm on constraint manifolds
C Suh, TT Um, B Kim, H Noh, M Kim, FC Park
2011 IEEE International Conference on Robotics and Automation, 4968-4973, 2011
Tangent space RRT with lazy projection: An efficient planning algorithm for constrained motions
TT Um, B Kim, C Suh, FC Park
Advances in Robot Kinematics: Motion in Man and Machine: Motion in Man and …, 2010
Independent joint learning: A novel task-to-task transfer learning scheme for robot models
TT Um, MS Park, JM Park
2014 IEEE International Conference on Robotics and Automation (ICRA), 5679-5684, 2014
A multi-layer Gaussian process for motor symptom estimation in people with Parkinson's disease
M Lang, FMJ Pfister, J Fröhner, K Abedinpour, D Pichler, U Fietzek, ...
IEEE Transactions on Biomedical Engineering 66 (11), 3038-3049, 2019
Parkinson's disease assessment from a wrist-worn wearable sensor in free-living conditions: Deep ensemble learning and visualization
TT Um, FMJ Pfister, DC Pichler, S Endo, M Lang, S Hirche, U Fietzek, ...
arXiv preprint arXiv:1808.02870, 2018
KULEX: An ADL power-assistance demonstration
MB Hong, SJ Kim, T Um, K Kim
2013 10th International Conference on Ubiquitous Robots and Ambient …, 2013
Explore highly relevant questions in the Baumann skin type questionnaire through the digital skin analyzer: A retrospective single‐center study in South Korea
SI Cho, D Kim, H Lee, TTW Um, H Kim
Journal of Cosmetic Dermatology 22 (11), 3159-3167, 2023
An unsupervised approach to detecting and isolating athletic movements
TT Um, D Kulić
2016 38th Annual International Conference of the IEEE Engineering in …, 2016
Dynamics-based estimation of Parkinson's disease severity using Gaussian Processes
S Endo, FJ Pfister, J Fröhner, U Fietzek, D Pichler, K Abedinpour, TT Um, ...
Second IFAC Conference on Cyber-Physical & Human Systems, 2018
Deep Learning in Objective Classification of Spontaneous Movement of Patients with Parkinson’s Disease Using Large-Scale Free-Living Sensor Data
F Pfister, D Kulić, T Um, D Pichler, A Ahmadi, M Lang, G König, F Achilles, ...
Quantification of the PD Motor Syndrome Using an Inclusive Score (PD9) Derived from Sensor Data with Deep Learning
F Pfister, J Goschenhofer, T Um, D Pichler, K Abedinpour, D Kulic, ...
MOVEMENT DISORDERS 33, S664-S665, 2018
Untersuchung und Beurteilung der motorischen Symptome der Parkinson-Erkrankung mittels eines am Handgelenk getragenen Sensors und eines Bewegungserfassungssystems
D Pichler, M Lang, FMJ Pfister, T Um, GCS König, S Endo, K Abedinpour, ...
DGN-Kongress 2017, 2017
Acquisition, Validation and Preprocessing of Wrist-Worn Sensor Data in Patients with Parkinson’s Disease and Healthy Controls
D Pichler, M Lang, D Kulić, F Pfister, G Koenig, T Um, A Ahmadi, S Endo, ...
보병의 근력지원을 위한 하지 착용로봇 시스템 개발
엄태웅, 유재관, 백주현
한국정밀공학회 학술발표대회 논문집, 205-206, 2012
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