Seong‐Whan Lee

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Research Focus

Key Achievements

Top Papers

1. 1
   Brain-Controlled Robotic Arm System Based on Multi-Directional CNN-BiLSTM Network Using EEG Signals

   288 citations · 2020
2. 2
   Gesture Spotting and Recognition for Human–Robot Interaction

   154 citations · 2007
3. 3
   Movement intention decoding based on deep learning for multiuser myoelectric interfaces

   148 citations · 2016
4. 4
   Comparative analysis of features extracted from EEG spatial, spectral and temporal domains for binary and multiclass motor imagery classification

   99 citations · 2019
5. 5
   An adaptive deep reinforcement learning framework enables curling robots with human-like performance in real-world conditions

   94 citations · 2020
6. 6
   Multimodal signal dataset for 11 intuitive movement tasks from single upper extremity during multiple recording sessions

   76 citations · 2020
7. 7
   Real-time 3D pointing gesture recognition for mobile robots with cascade HMM and particle filter

   71 citations · 2010
8. 8
   Classification of Hand Motions within EEG Signals for Non-Invasive BCI-Based Robot Hand Control

   55 citations · 2018
9. 9
   EEG Classification of Forearm Movement Imagery Using a Hierarchical Flow Convolutional Neural Network

   41 citations · 2020
10. 10
    Trajectory Decoding of Arm Reaching Movement Imageries for Brain-Controlled Robot Arm System

    40 citations · 2019

Key Collaborators