• Title/Summary/Keyword: Taekwondo Trainer system

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Development of Taekwondo Trainer System for Improvement of Training Effects (훈련효과 향상을 위한 태권도 트레이너 시스템의 개발)

  • Song, Y.R.;Lee, S.M.
    • Journal of rehabilitation welfare engineering & assistive technology
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    • v.4 no.1
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    • pp.43-51
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    • 2010
  • In this paper, we developed a digital Taekwondo trainer system based on the electronic protector was authorized by the World Taekwondo Federation for the improvement of user's training effects and athletic performances. Our system consists of E-Kick Bag with sensors for sensing hits, taekwondo trainer program and receiver for interconnection of E-kick Bag to program. Taekwondo trainer system also has an advantage to improve training effects and athletic performances such as hit-accuracy and reaction velocity by appointing a hitting target for users with 6 LED indicators. The taekwondo trainer program is a user interface to provide training courses such as progress training of response time and stamina, preparation training for real sparring by training scenario. It has also characteristics which are to strengthen and supplement user's pros and cons by analyzing hitting intensity and accuracy from training. In this paper, we implemented a test targeting eight taekwondo players on the playing list include a member of the Korea national team and conducted a survey in order to evaluate the utility of our system.

A Study on Taekwondo Training System using Hybrid Sensing Technique

  • Kwon, Doo Young
    • Journal of Korea Multimedia Society
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    • v.16 no.12
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    • pp.1439-1445
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    • 2013
  • We present a Taekwondo training system using a hybrid sensing technique of a body sensor and a visual sensor. Using a body sensor (accelerometer), rotational and inertial motion data are captured which are important for Taekwondo motion detection and evaluation. A visual sensor (camera) captures and records the sequential images of the performance. Motion chunk is proposed to structuralize Taekwondo motions and design HMM (Hidden Markov Model) for motion recognition. Trainees can evaluates their trial motions numerically by computing the distance to the standard motion performed by a trainer. For motion training video, the real-time video images captured by a camera is overlayed with a visualized body sensor data so that users can see how the rotational and inertial motion data flow.