Deok-Won Lee

According to our database, Deok-Won Lee authored at least 16 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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, February, 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

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

2022

Azure Kinect 3D skeleton and foot pressure data for pathological gaits.

Kooksung Jun, Sanghyub Lee, Deok-Won Lee, Mun Sang Kim

Dataset, May, 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

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

Proceedings of the 31st IEEE International Conference on Robot and Human Interactive Communication, 2022

2021

Kinect v2 skeleton datasets of simulated abnormal gaits.

Kooksung Jun, Yongwoo Lee, Sanghyub Lee, Deok-Won Lee, Mun Sang Kim

Dataset, October, 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

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

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

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

2019

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

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2017

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

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

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

Proceedings of the 12th International Conference on Ubiquitous Robots and Ambient Intelligence, 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

Proceedings of the 12th International Conference on Ubiquitous Robots and Ambient Intelligence, 2015

Whole body imitation of human motion with humanoid robot via ZMP stability criterion.

Deok-Won Lee, Min-Jae Lee, Mun-Sang Kim

Proceedings of the 15th IEEE-RAS International Conference on Humanoid Robots, 2015