D
Dae-Jin Kim
Researcher at KAIST
Publications - 21
Citations - 368
Dae-Jin Kim is an academic researcher from KAIST. The author has contributed to research in topics: Soft computing & Robotic arm. The author has an hindex of 9, co-authored 21 publications receiving 351 citations.
Papers
More filters
Journal ArticleDOI
Integration of a Rehabilitation Robotic System (KARES II) with Human-Friendly Man-Machine Interaction Units
Zeungnam Bien,Myung Jin Chung,Pyung-Hun Chang,Dong-Soo Kwon,Dae-Jin Kim,Jeong-Su Han,Jae-Hean Kim,Do-Hyung Kim,Hyung-Soon Park,Sang Hoon Kang,Kyoobin Lee,Soo-Chul Lim +11 more
TL;DR: Some important results of design and evaluation of a wheelchair-based robotic arm system, named as KARES II (KAIST Rehabilitation Engineering Service System II), which is newly developed for the disabled are reported.
Proceedings ArticleDOI
Human-machine interface for wheelchair control with EMG and its evaluation
TL;DR: This paper classified the pre-defined motions such as rest case, forward movement, left movement, and right movement by fuzzy min-max neural networks (FMMNN) and shows the feasibility of EMG as an input interface for powered wheelchair.
Proceedings ArticleDOI
Development of a wheelchair-based rehabilitation robotic system (KARES II) with various human-robot interaction interfaces for the disabled
TL;DR: Experimental results show that all subsystems can perform the defined tasks through the robotic arm in an integrated way.
Proceedings ArticleDOI
Fuzzy neural networks(FNN)-based approach for personalized facial expression recognition with novel feature selection method
TL;DR: A method to construct a personalized classifier based on novel feature selection method in the frame of fuzzy neural networks(FNN) and actual experiments/simulations show that the proposed method is effective not only in view of facial expression recognition but also of pattern classifier itself.
Proceedings ArticleDOI
Facial Emotional Expression Recognition with Soft Computing Techniques
TL;DR: The state-of-the-art reports on FER in view of SCT are overview, fuzzy observer-based approach, personalized FER system based on fuzzy neural networks, and Gabor wavelet neural networks are briefly discussed.