Terry Taewoong Um - researchr alias

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Viewing Publication 1 - 7 from 7

2019

A Multi-Layer Gaussian Process for Motor Symptom Estimation in People With Parkinson's DiseaseMuriel Lang, Franz Michael Josef Pfister, Jakob Fröhner, Kian Abedinpour, Daniel Pichler, Urban Fietzek, Terry Taewoong Um, Dana Kulic, Satoshi Endo, Sandra Hirche. tbe, 66(11):3038-3049, 2019. [doi]

2017

Exercise motion classification from large-scale wearable sensor data using convolutional neural networksTerry Taewoong Um, Vahid Babakeshizadeh, Dana Kulic. iros 2017: 2385-2390 [doi]

Data augmentation of wearable sensor data for parkinson's disease monitoring using convolutional neural networksTerry Taewoong Um, Franz Michael Josef Pfister, Daniel Pichler, Satoshi Endo, Muriel Lang, Sandra Hirche, Urban Fietzek, Dana Kulic. icmi 2017: 216-220 [doi]

2016

Tangent bundle RRT: A randomized algorithm for constrained motion planningBeobkyoon Kim, Terry Taewoong Um, Chansu Suh, Frank C. Park. robotica, 34(1):202-225, 2016. [doi]

An unsupervised approach to detecting and isolating athletic movementsTerry Taewoong Um, Dana Kulic. embc 2016: 6268-6272 [doi]

2014

Independent Joint Learning: A novel task-to-task transfer learning scheme for robot modelsTerry Taewoong Um, Myoung Soo Park, Jung Min Park. icra 2014: 5679-5684 [doi]

2011

Tangent space RRT: A randomized planning algorithm on constraint manifoldsChansu Suh, Terry Taewoong Um, Beobkyoon Kim, Hakjong Noh, Munsang Kim, Frank C. Park. icra 2011: 4968-4973 [doi]

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