Research output per year
Research output per year
Personal profile
In Korean
이연정 교수(IT대학 전자공학부)
Education
o (1984) B.S., Electronic Engineering, Hanyang University, Korea
o (1986) M.S., Electrical Engineering, KAIST, Korea
o (1994) Ph.D., Electrical Engineering, KAIST, Korea
o (1986) M.S., Electrical Engineering, KAIST, Korea
o (1994) Ph.D., Electrical Engineering, KAIST, Korea
Professional Experience
o (1995 - Present) Professor, Kyungpook National University
o (1986-1989) Researcher of Korea Institute of Machinery and Metals
o (1986-1989) Researcher of Korea Institute of Machinery and Metals
Research Interests
o Biologically Inspired Robots and Systems,
o Healthcare & Service Robots,
o Deep Learning & Intelligent Control,
o Embedded Systems and Automatic Control Systems
o Healthcare & Service Robots,
o Deep Learning & Intelligent Control,
o Embedded Systems and Automatic Control Systems
Major Research Achievements
o Conjugate-Prior-Penalized Learning of Gaussian Mixture Models for Multifunction Myoelectric Hand Control,
o Biomimetic variable-focus lens system controlled by winding-type SMA actuator
o KisBot: New Spherical Robot with Arms
o Biomimetic variable-focus lens system controlled by winding-type SMA actuator
o KisBot: New Spherical Robot with Arms
url
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Prediction of Minimum Night Flow for Enhancing Leakage Detection Capabilities in Water Distribution Networks
Lee, S. S., Lee, H. H. & Lee, Y. J., 1 Jul 2022, In: Applied Sciences (Switzerland). 12, 13, 6467.Research output: Contribution to journal › Article › peer-review
Open Access10 Scopus citations -
Hand Gesture Recognition using RVC Normalization and Transfer Learning
Kim, S. Y., Kim, I. J., Lee, Y. C. & Lee, Y. J., Jan 2021, In: Transactions of the Korean Institute of Electrical Engineers. 70, 1, p. 190-200 11 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
초기 융합 기반 다중 모드 딥 러닝을 사용한 손 제스처 분류
Translated title of the contribution :Hand gesture classification using early fusion based multimodal deep learning Research output: Contribution to journal › Article › peer-review
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다채널 말초 신경신호의 실시간 디코딩
Yun-Jung, L., 2020, In: 전기전자학회논문지.Research output: Contribution to journal › Article › peer-review
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와이어 구동형 손 재활 시스템 및 사용자 반력을 고려한 공유 제어
Yun-Jung, L., 2019, In: 재활복지공학회논문지.Research output: Contribution to journal › Article › peer-review