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Deok-Won Lee
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Journal Articles
- 2023
- [j8]Wonjun Lee, Deok-Won Lee, Sanghyub Lee, Kooksung Jun, Mun Sang Kim:
Deep-Learning-Based ADHD Classification Using Children's Skeleton Data Acquired through the ADHD Screening Game. Sensors 23(1): 246 (2023) - [j7]Wonjun Lee, Sanghyub Lee, Deok-Won Lee, Kooksung Jun, Dong Hyun Ahn, Mun Sang Kim:
Deep Learning-Based ADHD and ADHD-RISK Classification Technology through the Recognition of Children's Abnormal Behaviors during the Robot-Led ADHD Screening Game. Sensors 23(1): 278 (2023) - [j6]Sanghyub Lee, Deok-Won Lee, Mun Sang Kim:
A Deep Learning-Based Semantic Segmentation Model Using MCNN and Attention Layer for Human Activity Recognition. Sensors 23(4): 2278 (2023) - 2022
- [j5]Sanghyub Lee, Deok-Won Lee, Kooksung Jun, Wonjun Lee, Mun Sang Kim:
Markerless 3D Skeleton Tracking Algorithm by Merging Multiple Inaccurate Skeleton Data from Multiple RGB-D Sensors. Sensors 22(9): 3155 (2022) - 2021
- [j4]Deok-Won Lee, Kooksung Jun, Khawar Naheem, Mun Sang Kim:
Deep Neural Network-Based Double-Check Method for Fall Detection Using IMU-L Sensor and RGB Camera Data. IEEE Access 9: 48064-48079 (2021) - [j3]Kooksung Jun, Sanghyub Lee, Deok-Won Lee, Mun Sang Kim:
Deep Learning-Based Multimodal Abnormal Gait Classification Using a 3D Skeleton and Plantar Foot Pressure. IEEE Access 9: 161576-161589 (2021) - 2020
- [j2]Kooksung Jun, Deok-Won Lee, Kyoobin Lee, Sanghyub Lee, Mun Sang Kim:
Feature Extraction Using an RNN Autoencoder for Skeleton-Based Abnormal Gait Recognition. IEEE Access 8: 19196-19207 (2020) - [j1]Kooksung Jun, Yongwoo Lee, Sanghyub Lee, Deok-Won Lee, Mun Sang Kim:
Pathological Gait Classification Using Kinect v2 and Gated Recurrent Neural Networks. IEEE Access 8: 139881-139891 (2020)
Conference and Workshop Papers
- 2022
- [c6]Kooksung Jun, Sojin Oh, Sanghyub Lee, Deok-Won Lee, Mun Sang Kim:
Automatic pathological gait recognition by a mobile robot using ultrawideband-based localization and a depth camera. RO-MAN 2022: 652-659 - 2019
- [c5]Deok-Won Lee, Kooksung Jun, Sanghyub Lee, Joong-Kwang Ko, Mun-Sang Kim:
Abnormal Gait Recognition Using 3D Joint information of Multiple Kinects System and RNN-LSTM. EMBC 2019: 542-545 - 2017
- [c4]Yong-Jae Kim, Yong-Jun Jeong, Hyeong-Seok Jeon, Deok-Won Lee, Jong-In Kim:
Development of a soft robotic glove with high gripping force using force distributing compliant structures. IROS 2017: 3883-3890 - 2015
- [c3]Deok-Won Lee, Min-Jae Lee, Mun-Sang Kim:
Whole body imitation of human motion with humanoid robot via ZMP stability criterion. Humanoids 2015: 1003-1006 - [c2]Hyeong-Seok Jeon, Yong-Jun Jeong, Deok-Won Lee, Chang-Hyun Oh, Lo-Un Lee, Hyun-Min Kwon, Ki-Won Oh, Yong-Jae Kim:
Software architecture for humanoid robots with versatile task performing capabilities. URAI 2015: 555-559 - [c1]Deok-Won Lee, Hyun-Min Kwon, Hyeong-Seok Jeon, Yong-Jun Jeong, Chang-Hyun Oh, Lo-Un Lee, Ki-Won Oh, Yong-Jae Kim:
Selective dimensional admittance control for versatile manipulation. URAI 2015: 560-563
Data and Artifacts
- 2022
- [d2]Kooksung Jun, Sanghyub Lee, Deok-Won Lee, Mun Sang Kim:
Azure Kinect 3D skeleton and foot pressure data for pathological gaits. IEEE DataPort, 2022 - 2021
- [d1]Kooksung Jun, Yongwoo Lee, Sanghyub Lee, Deok-Won Lee, Mun Sang Kim:
Kinect v2 skeleton datasets of simulated abnormal gaits. IEEE DataPort, 2021
Coauthor Index
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