著者

長谷川 光一

出版者

研究・イノベーション学会

雑誌

年次学術大会講演要旨集

巻号頁・発行日

vol.32, pp.870-873, 2017-10-28

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一般講演要旨

著者

永田 晃也 小林 俊哉 西釜 義勝 長谷川 光一 諸賀 加奈

出版者

研究・イノベーション学会

雑誌

年次学術大会講演要旨集

巻号頁・発行日

vol.32, pp.765-769, 2017-10-28

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一般講演要旨

著者

長谷川 光一

出版者

研究・イノベーション学会

雑誌

年次学術大会講演要旨集

巻号頁・発行日

vol.32, pp.709-712, 2017-10-28

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一般講演要旨

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

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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

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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

長谷川 光一 永田 晃也 平田 透 佐々木 達也 遠山 亮子

出版者

研究・イノベーション学会

雑誌

年次学術大会講演要旨集

巻号頁・発行日

vol.15, pp.15-18, 2000-10-21

被引用文献数

1

著者

佐々木 達也 永田 晃也 平田 透 長谷川 光一 遠山 亮子

出版者

研究・イノベーション学会

雑誌

年次学術大会講演要旨集

巻号頁・発行日

vol.15, pp.40-43, 2000-10-21

被引用文献数

1

著者

長谷川光著

出版者

辰巳出版

巻号頁・発行日

2004

著者

河野 嘉憲 長谷川 光司 阿山 みよし 春日 正男

出版者

一般社団法人映像情報メディア学会

雑誌

映像情報メディア学会技術報告 (ISSN:13426893)

巻号頁・発行日

vol.25, no.64, pp.1-6, 2001-10-18

参考文献数

10

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本稿では, 動的マルチメディア環境において, 動く映像と音声を同時に呈示した際の映像が音像の定位に与える影響について, 走るパトカーのCGムービーとそのサイレン音を様々に組み合わせた呈示実験により検討を行った.その結果, 音像は刺激の呈示開始時にもっとも強く映像の影響を受けることがわかった.また, 音源が映像と逆方向に移動する場合は, 実際に音源と映像が一致する位置においても, ほとんどの被験者は映像と音像が離れていると知覚した.

著者

吉田 準史 長谷川 光司 春日 正男

出版者

一般社団法人映像情報メディア学会

雑誌

映像情報メディア学会技術報告 (ISSN:13426893)

巻号頁・発行日

vol.32, no.21, pp.9-12, 2008-05-26

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本研究では,ゲームコンテンツの評価に適した用語を選定することを目的に,ゲーム雑誌およびユーザアンケートから数十種類の評価用語を抽出した.さらに20種類のゲームを実際に被験者にプレイさせ,各用語についての当てはまり具合を回答する実験を行った.実験結果に対し,分散分析,クラスタ分析などの統計的な処理を施すことにより,ゲームコンテンツの評価に相応しい用語として「革新的な」,「リアルな」,「幻想的な」,「大勢で楽しめる」,「待ち時間の多い」,「コミカルな」という6種類の評価用語が最終的に選定された.