Whole body imitation of human motion with humanoid robot via ZMP stability criterion. - Deok-Won Lee; Min-Jae Lee; Mun-Sang Kim (Humanoids, 2015)

Software architecture for humanoid robots with versatile task performing capabilities. - Hyeong-Seok Jeon; Yong-Jun Jeong; Deok-Won Lee; Chang-Hyun Oh; Lo-Un Lee; Hyun-Min Kwon; Ki-Won Oh; Yong-Jae Kim (URAI, 2015)

Selective dimensional admittance control for versatile manipulation. - Deok-Won Lee; Hyun-Min Kwon; Hyeong-Seok Jeon; Yong-Jun Jeong; Chang-Hyun Oh; Lo-Un Lee; Ki-Won Oh; Yong-Jae Kim (URAI, 2015)

Development of a soft robotic glove with high gripping force using force distributing compliant structures. - Yong-Jae Kim; Yong-Jun Jeong; Hyeong-Seok Jeon; Deok-Won Lee; Jong-In Kim (IROS, 2017)

Abnormal Gait Recognition Using 3D Joint information of Multiple Kinects System and RNN-LSTM. - Deok-Won Lee; Kooksung Jun; Sanghyub Lee; Joong-Kwang Ko; Mun-Sang Kim (EMBC, 2019)

Feature Extraction Using an RNN Autoencoder for Skeleton-Based Abnormal Gait Recognition. - Kooksung Jun; Deok-Won Lee; Kyoobin Lee; Sanghyub Lee; Mun Sang Kim (IEEE Access, 2020)

Pathological Gait Classification Using Kinect v2 and Gated Recurrent Neural Networks. - Kooksung Jun; Yongwoo Lee; Sanghyub Lee; Deok-Won Lee; Mun Sang Kim (IEEE Access, 2020)

Deep Learning-Based Multimodal Abnormal Gait Classification Using a 3D Skeleton and Plantar Foot Pressure. - Kooksung Jun; Sanghyub Lee; Deok-Won Lee; Mun Sang Kim (IEEE Access, 2021)

Deep Neural Network-Based Double-Check Method for Fall Detection Using IMU-L Sensor and RGB Camera Data. - Deok-Won Lee; Kooksung Jun; Khawar Naheem; Mun Sang Kim (IEEE Access, 2021)

Kinect v2 skeleton datasets of simulated abnormal gaits. - Kooksung Jun; Yongwoo Lee; Sanghyub Lee; Deok-Won Lee; Mun Sang Kim (IEEE DataPort, 2021)

Automatic pathological gait recognition by a mobile robot using ultrawideband-based localization and a depth camera. - Kooksung Jun; Sojin Oh; Sanghyub Lee; Deok-Won Lee; Mun Sang Kim (RO-MAN, 2022)

Markerless 3D Skeleton Tracking Algorithm by Merging Multiple Inaccurate Skeleton Data from Multiple RGB-D Sensors. - Sanghyub Lee; Deok-Won Lee; Kooksung Jun; Wonjun Lee; Mun Sang Kim (Sensors, 2022)

Azure Kinect 3D skeleton and foot pressure data for pathological gaits. - Kooksung Jun; Sanghyub Lee; Deok-Won Lee; Mun Sang Kim (IEEE DataPort, 2022)

Deep Learning-Based ADHD and ADHD-RISK Classification Technology through the Recognition of Children's Abnormal Behaviors during the Robot-Led ADHD Screening Game. - Wonjun Lee; Sanghyub Lee; Deok-Won Lee; Kooksung Jun; Dong Hyun Ahn; Mun Sang Kim (Sensors, 2023)

Deep-Learning-Based ADHD Classification Using Children's Skeleton Data Acquired through the ADHD Screening Game. - Wonjun Lee; Deok-Won Lee; Sanghyub Lee; Kooksung Jun; Mun Sang Kim (Sensors, 2023)

A Deep Learning-Based Semantic Segmentation Model Using MCNN and Attention Layer for Human Activity Recognition. - Sanghyub Lee; Deok-Won Lee; Mun Sang Kim (Sensors, 2023)