Dong‐Joo Kim

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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
   Comparative analysis of features extracted from EEG spatial, spectral and temporal domains for binary and multiclass motor imagery classification

   99 citations · 2019
3. 3
   Classification of Hand Motions within EEG Signals for Non-Invasive BCI-Based Robot Hand Control

   55 citations · 2018
4. 4
   Trajectory Decoding of Arm Reaching Movement Imageries for Brain-Controlled Robot Arm System

   40 citations · 2019
5. 5
   Decoding of Multi-directional Reaching Movements for EEG-Based Robot Arm Control

   23 citations · 2018
6. 6
   A Novel Approach to Classify Natural Grasp Actions by Estimating Muscle Activity Patterns from EEG Signals

   15 citations · 2020
7. 7
   Classification of Upper Limb Movements Using Convolutional Neural Network with 3D Inception Block

   6 citations · 2020
8. 8
   Recurrent convolutional neural network model based on temporal and spatial feature for motor imagery classification

   5 citations · 2019

Key Collaborators