Terry TaeWoong Um
Terry TaeWoong Um
PhD Candidate, University of Waterloo
Verified email at uwaterloo.ca - Homepage
TitleCited byYear
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), 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
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 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, 251-260, 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
KULEX: An ADL power-assistance demonstration
MB Hong, SJ Kim, T Um, K Kim
2013 10th International Conference on Ubiquitous Robots and Ambient …, 2013
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
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
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, ...
An unsupervised approach to detecting and isolating athletic movements
TT Um, D Kulić
2016 38th Annual International Conference of the IEEE Engineering in …, 2016
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
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
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, ...
International Parkinson and Movement Disorder Society, 2017
보병의 근력지원을 위한 하지 착용로봇 시스템 개발
엄태웅, 유재관, 백주현
한국정밀공학회 학술발표대회 논문집, 205-206, 2012
Tangent Space RRT with Lazy Projection for Constrained Motion Planning
서울대학교 대학원, 2010
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