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Ung Hee Lee
Ung Hee Lee
Geverifieerd e-mailadres voor umich.edu
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Configurable, wearable sensing and vibrotactile feedback system for real-time postural balance and gait training: proof-of-concept
J Xu, T Bao, UH Lee, C Kinnaird, W Carender, Y Huang, KH Sienko, ...
Journal of neuroengineering and rehabilitation 14, 1-10, 2017
612017
Empirical characterization of a high-performance exterior-rotor type brushless DC motor and drive
UH Lee, CW Pan, EJ Rouse
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
362019
Image Transformation and CNNs: A Strategy for Encoding Human Locomotor Intent for Autonomous Wearable Robots
UH Lee, J Bi, R Patel, D Fouhey, E Rouse
IEEE Robotics and Automation Letters, 2020
262020
Wearable sensing and haptic feedback research platform for gait retraining
J Xu, UH Lee, T Bao, Y Huang, KH Sienko, PB Shull
2017 IEEE 14th International Conference on Wearable and Implantable Body …, 2017
182017
Detecting voluntary gait intention of chronic stroke patients towards top-down gait rehabilitation using EEG
J Choi, H Kang, SH Chung, Y Kim, UH Lee, JM Lee, SJ Kim, MH Chun, ...
2016 38th Annual International Conference of the IEEE Engineering in …, 2016
62016
A data driven approach for predicting preferred ankle stiffness of a quasi-passive prosthesis
VS Shetty, UH Lee, KA Ingraham, EJ Rouse
IEEE Robotics and Automation Letters 7 (2), 3467-3474, 2022
42022
User preference optimization for control of ankle exoskeletons using sample efficient active learning
UH Lee, VS Shetty, PW Franks, J Tan, G Evangelopoulos, S Ha, ...
Science Robotics 8 (83), eadg3705, 2023
32023
How to Model Brushless Electric Motors for the Design of Lightweight Robotic Systems
UH Lee, T Shepherd, S Kim, A De, H Su, R Gregg, L Mooney, E Rouse
arXiv preprint arXiv:2310.00080, 2023
2023
Predicting user preference with ai to control a new generation of wearable assistive technologies
EJ Rouse, UH Lee, V Shetty
US Patent App. 17/535,298, 2022
2022
Leveraging Autonomous Segmentation and Grasp Calculation for Programming by Demonstration
D Kent, UH Lee, S Elliott, R Toris
IEEE International Conference on Robotics and Automation : Machine Learning …, 2018
2018
Comparing the Performance of Movement Artifact Removal Algorithm between Wired and Wireless EEG Data Acquisition System
UH Lee, J Choi, S Chung, H Kim
7th International IEEE EMBS Conference on Neural Engineering, 2015
2015
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Artikelen 1–11