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Development of high-performance sports machine and elucidation of Two-seam ball gyroball
Author(s) -
Shinobu Sakai
Publication year - 2021
Publication title -
impact
Language(s) - English
Resource type - Journals
eISSN - 2398-7081
pISSN - 2398-7073
DOI - 10.21820/23987073.2021.5.75
Subject(s) - throwing , sports equipment , engineering , machine tool , matlab , ball (mathematics) , computer science , simulation , mechanical engineering , industrial engineering , artificial intelligence , mathematical analysis , mathematics , operating system
Sports engineering uses mathematics and physics to develop solutions to sporting problems. It involves the design and manufacture of sports equipment and facilities that can help maximise athletic performance. In order to develop fit-for-purpose products, it is necessary to consider the motions and movements of athletes. Professor Shinobu Sakai, Production Systems Engineering and Sciences, Komatsu University, Japan, is combining AI and neural networks (NN) to develop multifunctional and high-performance sports equipment and training machines that can benefit athletes and people across the globe who play sports. Believing that machines are subordinate to human beings, a key goal for Sakai is to augment the performance of sports players through the development of tools and machines. Some of the state-of-the-art tools and methodologies he uses in his work are high-resolution sensors, laser-speed sensors, MATLAB and general finite element method analysis software (ANSYS/LS-DYNA). He has developed a shuttlecock launching machine for badminton that can launch at high speed, a high-performance baseball pitching machine that is able to generate an efficient and objective gyro spin and has a high throwing performance and a pitching control method that uses AI.

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