• Journal of the Korea Convergence Society
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• v.11 no.4
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• pp.343-350
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• 2020

This study was intended to use the Inertia Sensor Units(IMU) for the national women's handball team to quantify movements for a total of 16 domestic or international practice games over five months and to identify the efficiency of training and differences in movements by position. A total of 15 players were participated excluding goalkeepers. The results are as follows. Player Load came in order of Wing>Back>Pivot and high in international games. Change of Direction(CoD) were found to have the most Pivot at low intensity, while middle and high intensity were the most in the Back. There have been a lot of low and middle intensity CoD in International games. Low-intensity acceleration(ACC) and deceleration(DEC) were found to have the most Pivot, while middle & high intensity ACC and DEC had the most Back. There have been many low and middle intensity ACC and low, middle and high intensity DEC in international games. There were many middle and high intensity jumps in Back and Wing, but there were no differences in the types of games.

• ETRI Journal
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• v.40 no.4
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• pp.522-530
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• 2018

In this study, we developed a robotic walker that actively controls its speed and direction of movement according to the user's gait intention. Sensor fusion between a low-cost light detection and ranging (LiDAR) sensor and inertia measurement units (IMUs) helps determine the user's gait intention. The LiDAR determines the walking direction by detecting both knees, and the IMUs attached on each foot obtain the angular rate of the gait. The user's gait intention is given as the directional angle and the speed of movement. The two motors in the robotic walker are controlled with these two variables, which represent the user's gait intention. The estimated direction angle is verified by comparison with a Kinect sensor that detects the centroid trajectory of both the user's feet. We validated the robotic walker with an experiment by controlling it using the estimated gait intention.

• Aerospace Engineering and Technology
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• v.10 no.2
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• pp.1-10
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• 2011

This is a comparative study of three inertia navigation units and focuses on the verification of reliability about GPS/INS for the SmartUAV(DGNS). Those GPS/INS have been tested using a manned aircraft and an automobile. The comparative aspect of units include details about the GPS positions and the inertia sensor performance. With the flight scenario, the DGNS guarantees the reliability of the navigation operation and performs the flight test for the development of the SmartUAV.