論文 - 仰木　裕嗣

脳卒中患者の回復過程におけるBox and Block Testの手先軌跡の滑らかさの変化

榊原時生，仰木裕嗣

バイオメカニズム学会誌 47 （ 3 ） 172 - 179 2023年

研究論文（学術雑誌）, 共著, 査読有り

障がい者スポーツを支える技術開発-東京パラリンピックを振り返る-

仰木裕嗣

電子情報通信学会誌 105 （ 8 ） 771 - 776 2022年

研究論文（学術雑誌）, 単著, 筆頭著者

FIDO2 認証サーバーによる退学者防止効果の研究——出席不良者と退学率相関関係の視点にて——

杉本理，志田崇，仰木裕嗣

電子情報通信学会論文誌 A J105-A （ 12 ） 168 - 174 2022年

共著

Features of acceleration and angular velocity using thigh IMUs during walking in water

Kaneda K., Ohgi Y., McKean M., Burkett B.

International Journal of Aquatic Research and Education （International Journal of Aquatic Research and Education）  12 （ 4 ）  2020年04月

共著,  ISSN  19329997

　概要を見る

Ten participants were assessed while walking in water and on land with wearable inertial measurement units (IMUs) attached to the right thigh. Longitudinal acceleration, anterior-posterior acceleration, and frontal axis angular velocity were measured at 100 Hz, matched with video analysis sampled at 25 Hz during the walking trials. The longitudinal acceleration showed almost 1 g from initial heel contact to 70% of one cycle, and the anterior-posterior acceleration showed a sinusoidal pattern, synchronizing the approximate posture of the thigh in water. The frontal axis angular velocity fluctuated less while walking in water compared with on land, because thigh motion speed was slower in water than on land. The acceleration and angular velocity in water were stable and did not fluctuate. Walking exercises in water may be effective in individuals with knee- or thigh-related medical issues.

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SFC におけるパラリンピック支援研究開発

仰木裕嗣

KEIO SFC Journal （SFC学会）  20 （ 1 ） 50 - 65 2020年

研究論文（学術雑誌）, 単著

Features of Acceleration and Angular Velocity Using Thigh IMUs during Walking in Water

Koichi Kaneda, Yuji Ohgi, Mark McKean, Brendan Burkett

International Journal of Aquatic Research and Education 12 （ 4 ） Article 12 2020年

Prediction of physical activity intensity with accelerometry in young children

Tanaka C., Hikihara Y., Ando T., Oshima Y., Usui C., Ohgi Y., Kaneda K., Tanaka S.

International Journal of Environmental Research and Public Health （International Journal of Environmental Research and Public Health）  16 （ 6 ）  2019年03月

研究論文（学術雑誌）, 共著,  ISSN  16617827

　概要を見る

© 2019 by the authors. Licensee MDPI, Basel, Switzerland. Background: An algorithm for the classification of ambulatory and non-ambulatory activities using the ratio of unfiltered to filtered synthetic acceleration measured with a triaxial accelerometer and predictive models for physical activity intensity (METs) in adults and in elementary school children has been developed. The purpose of the present study was to derive predictive equations for METs with a similar algorithm in young children. Methods: Thirty-seven healthy Japanese children (four-to six-years old) participated in this study. The five non-ambulatory activities including low-intensity activities, and five ambulatory activities were selected. The raw accelerations using a triaxial accelerometer and energy expenditure by indirect calorimetry using the Douglas bag method during each activity were collected. Results: For non-ambulatory activities, especially light-intensity non-ambulatory activities, linear regression equations with a predetermined intercept (0.9) or quadratic equations were a better fit than the linear regression. The equations were different from those for adults and elementary school children. On the other hand, the ratios of unfiltered to filtered synthetic acceleration in non-ambulatory activities were different from those in ambulatory activities, as in adults and elementary school children. Conclusions: Our calibration model for young children could accurately predict intensity of physical activity including low-intensity non-ambulatory activities.

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Development of a kick timing estimation algorithm in the crawl stroke for a biofeedback training system using neural oscillators

Motomu NAKASHIMA, Takahiro MIYAZAWA, Yuji OHGI

Mechanical Engineering Journal 5 （ 3 ） 17-00518 2018年04月

研究論文（学術雑誌）, 共著, 査読有り

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Measuring and Classifying Land-Based and Water- Based Daily Living Activities Using Inertial Sensors

Koichi Kaneda, Yuji Ohgi, Mark R. McKean, Brendan J. Burkett

Proceedings (ISEA2018) 2 （ 298 ） doi:10.3390/proceedings2060298 2018年

査読有り

Learning to judge like a human: Convolutional networks for classification of ski jumping errors

Heike Brock, Yuji Ohgi, James Lee

Proceedings - International Symposium on Wearable Computers, ISWC （Association for Computing Machinery）  130534   106 - 113 2017年09月

査読有り,  ISSN  1550-4816

　概要を見る

Advanced machine learning technologies are seldom applied to wearable motion sensor data obtained from sport movements. In this work, we therefore investigated neural networks for motion performance evaluation utilizing a set of inertial sensor-based ski jump measurements. A multidimensional convolutional network model that related the motion data under aspects of time, placement and sensor type was implemented. Additionally, its applicability as a measure for automatic motion style judging was evaluated. Results indicate that one multi-dimensional convolutional layer is sufficient to recognize relevant performance error representations. Furthermore, comparisons against a Support Vector Machine and a Hidden Markov Model show that the new model outperforms feature-based methods under noisy and biased data environments. Architectures such as the proposed evaluation system can hence become essential for automatic performance analysis and style judging systems in future.

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光学式モーションキャプチャシステムと大面積圧力センサを用いた歩行解析

仰木 裕嗣石塚 辰郎 , 前田 時生 , 山路 紗皇 , 柴山 史明 , 渡津 裕次 , 萩原 心一 , 久保田 拓也 , 関 英子

シンポジウム: スポーツ・アンド・ヒューマン・ダイナミクス講演論文集 2017 （ 0 ） A-36 2017年

走行するサラブレッドの遊脚期における振動数の調整

仰木 裕嗣松本 拓也 , 太田 憲 , 高橋 敏之 , 間 弘子 , 湯川 治敏

バイオメカニズム学会誌 41 （ 2 ） 91-97 2017年

床反力計を用いない歩行解析方法の評価

仰木 裕嗣前田 時生

シンポジウム: スポーツ・アンド・ヒューマン・ダイナミクス講演論文集 2017 （ 0 ） A-17 2017年

Corrigendum to "The development of an estimation model for energy expenditure during water walking by acceleration and walking speed" [J. Sci. Med. Sport 17 (1) (2014) 96-101].

Kaneda K, Ohgi Y, Tanaka C, Burkett B

Journal of Science and Medicine in Sport 20 （ 1 ） 104 - 105 2017年

Assessing Motion Style Errors in Ski Jumping Using Inertial Sensor Devices

Heike Katrein Brock, Yuji OHGI

IEEE Sensors Journal 17 （ 12 ） 3794 - 3804 2017年

共著

Design Optimization of the Landing Slope of a Ski Jumping Hill

Kazuya Seo, Yuji Nihei, Ryutaro Watanabe, Toshiyuki Shimano, Yuji Ohgi

Sports Science Research and Technology Support, Communications in Computer and Information Science (Revised Selected Papers, icSPORTS 2015) 632   57 - 70 2017年

共著

Development of an inertial motion capture system for kinematic analysis of ski jumping

Heike Brock, Yuji Ohgi

Journal of Sports Engineering and Technology 231 （ 4 ）  2016年12月

単著

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運動機疾患を扱うメディカルスタッフのためのバイオメカニクス必携 II.各論 モダリティ 運動器動作・疾患解析に有用な動作解析 1)―モーションキャプチャ―

仰木 裕嗣

関節外科 35 （ 11 ） 1136 - 1140 2016年11月

ヒューマンダイナミクス バイオメカニクスからのアプローチ スポーツバイオメカニクスと生体計測

仰木 裕嗣

自動車技術 70 （ 10 ） 71 - 76 2016年10月

Appendix ウェアラブル・デバイスでブレークスルーだ! 可能性満点!スポーツ×センサ最前線 (特集 ビッグデータ/IoTのキー・テクノロジ スポーツに健康に! ウェアラブル人間センサ入門)

仰木 裕嗣

インターフェース = Interface 42 （ 9 ） 16 - 19 2016年09月