Won-Hyuck Choi
Hanseo University
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Publication
Featured researches published by Won-Hyuck Choi.
Archive | 2018
Seung-Hun Kim; Min-Seok Jie; Da-Un Kim; Chan-Syb Yeum; Ju-Young Lim; Hyun-Wook Moon; Won-Hyuck Choi
Min-Seok Jie, Seung-Hun Kim, Chan-Syb Yeum and Won-Hyuck Choi Department of Avionics Engineering Hanseo University 236-49, Gomseom-ro, Nam-myeon, Taean-gun, 32158 Chungcheongnam-do, Republic of Korea Department of Aeronautical Systems Engineering, 236-49, Gomseom-ro, Nammyeon, Taean-gun, 32158 Chungcheongnam-do, Republic of Korea People i Co., Ltd., 49, Techno 8-ro, Yuseong-gu, Daejeon, Republic of Korea {choiwh, jiems}@hanseo.ac.kr, [email protected]
International journal of advanced science and technology | 2018
Min-Seok Jie; Seung-Hun Kim; Won-Hyuck Choi
In this paper, we developed a wireless transceiver based 3D motion recognition device for HMD (Head Mounted Display). This unit uses a gyro sensor and acceleration sensor. A device that recognizes the users head and body parts in 3D motion. You can recognize it by attaching it to an object. Human interface devices (HID) systems also connect directly to the user. It utilizes the users movement obtained from the device. The Kalman filter is used to increase the accuracy of the data. It connects to UAV and provides more accurate information and freedom of space. It can be applied to all areas of the remote control.
International Journal of Control and Automation | 2018
Min-Seok Jie; Seung-Hun Kim; Won-Hyuck Choi
On this paper, we used a separate MEMS sensor on the quad-copter to perceive and maintain the posture from the vibration the quad-copter received. We propose a stable posture adjustment method by merging the complementary filter and the Kalman filter. The safety improvement of the attitude control was verified by simulation and actual quad helicopter. MALTAB simulation results were compared using Kalman filters and complementary filters for gyro data and acceleration data received from MEMS sensors. In this study, we investigated the stability analysis of the flight posture using the MEMS sensor equipped with the equipment and the quad pilot. Based on the data output of the convergence type complementary filter and the Kalman filter, it is attached to the real quad to control the motor speed and verify the stability control performance.
International Journal of Control and Automation | 2017
Hyeon-Woo Lim; Min-Seok Jie; Won-Hyuck Choi
The Journal of Advanced Navigation Technology | 2016
Kang-Seok Lee; Min-Seok Jie; Won-Hyuck Choi
Archive | 2018
Kang-Seok Lee; Seung-Hun Kim; Won-Hyuck Choi
Archive | 2018
Min-Seok Jie; Seung-Hun Kim; Won-Hyuck Choi
Archive | 2018
Da-Un Kim; Min-Seok Jie; Won-Hyuck Choi
Archive | 2018
Min-Seok Jie; Seung-Hun Kim; Won-Hyuck Choi
International journal of advanced science and technology | 2018
Da-Un Kim; Min-Seok Jie; Won-Hyuck Choi