ニューラルネットワークによるゴルフクラブヘッド・ボール運動の推定(機械力学,計測,自動制御)

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In sports that are one of the life science fields, the performance of tools such as wear, shoes, clubs and so on advances remarkably, and the record has improved spectacularly. However, it tends to the restriction of "tools that expand distance of a jump" in golf that is one of ball sports toward the target in the distance. The improvement of the sports skill will need not only improvement of tools performance but also improvement of human's sports skill in the future. In the previous paper, we related the golfer's cock-roll motions in the golf driver swing and eight club head and/or ball motions (head velocity, ball velocity, upper angle, side angle, back spin, side spin, carry and traverse) by experiment and multiple regression analysis method. In this paper, the club performance is newly added to the explaining variable. Moreover, by using measured variables and/or factors, the estimated system at head and ball velocity based on the neural network is proposed. When the estimated value by the suggesting method is compared with the measurement value, the maximum error margin and the average error margin are smaller. When the presumption value is compared with the measurement value, the maximum and the average error of the suggesting method are smaller than that of the previous method. Using the sensitivity analysis, we found that the most important factors in improving the head velocity and ball velocity
社団法人日本機械学会の論文
2007-12-25

ニューラルネットワークによるゴルフクラブヘッド・ボール運動の推定(機械力学,計測,自動制御)

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