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Ung Hee Lee
Ung Hee Lee
Bestätigte E-Mail-Adresse bei umich.edu
Titel
Zitiert von
Zitiert von
Jahr
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
622017
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
382019
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
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
42023
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
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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