著者
相原 伸平 坂井 宝 塩野谷 明
出版者
公益社団法人 日本生体医工学会
雑誌
生体医工学 (ISSN:1347443X)
巻号頁・発行日
vol.Annual60, no.Proc, pp.290-292, 2022 (Released:2023-05-12)

跳躍動作は,スポーツの様々な場面でみられる基本動作である.跳躍動作の評価は,技能や体力の評価のみならず,競技パフォーマンス向上を目的としたトレーニングの実践にも貢献する.跳躍動作の評価には,最も基礎的な跳躍動作の垂直跳びが広く採用される.標準機器としてフォースプレートを使用し,床反力が計測されるが,利便性やコストの課題がある.本研究では,跳躍動作の新しい計測技術の実現にむけて,簡易的に使用できる単眼カメラを用いた床反力推定手法を開発した.時系列のカメラ画像を入力として,画像中の人物の3次元姿勢を推定し,さらに,3次元姿勢情報にTransformerをベースとしたディープラーニングモデルを適用することにより,跳躍動作時の床反力推定を可能とした.データ収集試験を行い,モデルの学習と評価を実施した.提案手法で推定した時系列データとフォースプレートで計測した床反力の時系列データとの相関係数は0.87であり,有意に強い相関を有することを確認した(P <0.001).垂直跳びの評価に使用される跳躍時の最大床反力の相関は0.90を達成した.先行研究で報告される回帰モデルを比較した結果, 最も高い精度となった.本研究により,カメラのみで床反力を推定できる可能性を見出した.また,本研究のアプローチは,歩行動作や走行動作などの床反力推定が可能であり,ヘルスケアやリハビリテーションへの応用が期待できる.
著者
小島 輝明 高本 俊一 森岡 賢次 山本 晋平 綿貫 雅也 長谷川 光彦 三宅 仁 塩野谷 明
出版者
Society of Biomechanisms
雑誌
バイオメカニズム (ISSN:13487116)
巻号頁・発行日
vol.16, pp.231-241, 2002

It is effective to determine running pace in advance, based on individual ability, in order to demonstrate the highest performance in long-distance running. The evaluation indices for a long-distance runner are maximum oxygen uptake, lactate threshold (LT), and ventilatory threshold (VT). These, however, are mostly used stastistically, so results may differ from real ability in a personal equation.<BR>The purposes of this study were to construct an energy-metabolism model and to optimize the running pace of long-distance running using a genetic algorithm (GA). The energy-metabolism model constructed in the study was composed of an anaerobic energy feeder structure, an aerobic energy feeder structure, and the section to be run. These elements were expressed as differential equations and restricted inequality formulas. The running speed for each subject, calculated from the best time for 300 meters, the amount of oxygen uptake, and running speed at the VT in each subject were used as parameters for the energy-metabolism model.<BR>VT was measured by a gradually increasing speed exercise using a treadmill because it was difficult to measure during field running. There are many differences between treadmill running and field running, however. In this study, the subject ran continuously on a treadmill with traction to his back using a rubber tube. The running speed for treadmill running was adjusted to that in field running based on heart rate.<BR>The energy-metabolism model had two controlled variables, and running speed could be controlled by these variables. We tried to optimize the energy-metabolism model by determining the two controlled variables using a GA. The spurt start point was also determined during optimization. The GA determined the spurt start point based on the energy-metabolism model.<BR>The running speed in 5000-meter races was optimized as follows: (1) speed ascends immediately after the start of the race, and then descends by a constant degree; (2) speed ascends again at 1000 to 1400 meters before the goal; and (3) almost 1 minute later, running goes to maximum speed then descends again by a constant degree all the way to the goal. This optimization result corresponded closely to the actual racing of the subject, who trained for improved ability in long-distance running.
著者
小島 輝明 高本 後一 森岡 賢次 山本 晋平 綿貫 雅也 長谷川 光彦 三宅 仁 塩野谷 明
出版者
バイオメカニズム学会
雑誌
バイオメカニズム
巻号頁・発行日
vol.16, pp.231-241, 2002-06-25

It is effective to determine running pace in advance, based on individual ability, in order to demonstrate the highest performance in long-distance running. The evaluation indices for a long-distance runner are maximum oxygen uptake, lactate threshold (LT), and ventilatory threshold (VT). These, however, are mostly used stastistically, so results may differ from real ability in a personal equation. The purposes of this study were to construct an energy-metabolism model and to optimize the running pace of long-distance running using a genetic algorithm (GA). The energy-metabolism model constructed in the study was composed of an anaerobic energy feeder structure, an aerobic energy feeder structure, and the section to be run. These elements were expressed as differential equations and restricted inequality formulas. The running speed for each subject, calculated from the best time for 300 meters, the amount of oxygen uptake, and running speed at the VT in each subject were used as parameters for the energy-metabolism model. VT was measured by a gradually increasing speed exercise using a treadmill because it was difficult to measure during field running. There are many differences between treadmill running and field running, however. In this study, the subject ran continuously on a treadmill with traction to his back using a rubber tube. The running speed for treadmill running was adjusted to that in field running based on heart rate. The energy-metabolism model had two controlled variables, and running speed could be controlled by these variables. We tried to optimize the energy-metabolism model by determining the two controlled variables using a GA. The spurt start point was also determined during optimization. The GA determined the spurt start point based on the energy-metabolism model. The running speed in 5000-meter races was optimized as follows: (1) speed ascends immediately after the start of the race, and then descends by a constant degree; (2) speed ascends again at 1000 to 1400 meters before the goal; and (3) almost 1 minute later, running goes to maximum speed then descends again by a constant degree all the way to the goal. This optimization result corresponded closely to the actual racing of the subject, who trained for improved ability in long-distance running.
著者
森岡 賢次 高本 俊一 山本 晋平 綿貫 雅也 SALA Maximiliano 大場 昌昭 塩野谷 明
出版者
一般社団法人日本機械学会
雑誌
ジョイント・シンポジウム講演論文集 : スポーツ工学シンポジウム : シンポジウム:ヒューマン・ダイナミックス : symposium on sports engineering : symposium on human dynamics
巻号頁・発行日
vol.2001, pp.38-41, 2001-11-07

In thinking about an improvement of a performance in swimming, it is important to progress the self-propulsive force in swimming. The purpose of this study was to develop the equipment and procedure, which measured and evaluated by 3 type of swimming as follows ; Semi-tethered swimming (STS), stream swimming with water flow and STS with water flow. From the basis of these results, the mutual relations between swimming velocity, propulsive force and resistance in swimming were considered.
著者
塩野谷 明
出版者
長岡技術科学大学
雑誌
基盤研究(C)
巻号頁・発行日
2011

本研究は、スキー実滑走時模擬振動暴露シミュレータの開発を行なうとともに、スキー滑走メカニズム解明のための基盤構築を目的とする。シミュレータは、スキーヤーを想定した雪塊を、雪面に見立てたスキー滑走面で滑走させるものである。スキー板の振動は、ボールバイブレータを圧縮空気で回転させ、発生させる。シミュレータでは雪塊が滑走する際の動摩擦力、動摩擦係数、滑走速度が算出される。実験の結果、250Hz付近の振動を板に暴露した場合、滑走速度の増加、摩擦係数の低減、滑走速度の増加に伴う動摩擦係数の低下が認められた。以上の結果より、本シミュレータはスキー滑走メカニズム解明の基盤として適当であることが示唆された。
著者
塩野谷 明 畠 圭祐 篠田 崇 西條 暁里 江田 茂行
出版者
一般社団法人日本機械学会
雑誌
ジョイント・シンポジウム講演論文集 : スポーツ工学シンポジウム : シンポジウム:ヒューマン・ダイナミックス : symposium on sports engineering : symposium on human dynamics
巻号頁・発行日
vol.2008, pp.281-284, 2008-11-05

The purpose of this study was to evaluate the spike shoes for the sprint race by the parallel measurement of mechanical power of foot joint and the lower limbs muscular strength. To perform this purpose, the system for the parallel measurement of mechanical power of foot joint and the lower limbs muscular strength was developed. Furthermore, the mechanical power of subject's foot joint in wearing the high performance spike, the general competition spike and the running shoes was measured in the conditions of the plantar flexion jump (PFJ ), the counter movement jump (CMJ) and the drop jump (DJ) using the sliding seat. The experiment led us conclusions as follows; the mechanical power of the high performance spike in DJ was the highest of experimental shoes. The increasing ratio from CMJ to DJ of the high performance spike was the highest of these, too. The iEMG in wearing the high performance shoes in DJ was the lowest. The high performance spike could be output the high mechanical power in the phase of the plantar flexion.