Updated on 2025/06/25

写真a

 
OKUSA Kosuke
 
Organization
Faculty of Science and Engineering Associate Professor
Other responsible organization
Data Science for Business Innovation Course of Graduate School of Science and Engineering, Master's Program
Data Science for Business Innovation Course of Graduate School of Science and Engineering, Doctoral Program
Profile

機械学習/統計解析や数理モデリングに関する知見をセンサデータ解析技術へ展開することに興味を持ち研究をしています.近年では「独居老人の見守りシステム開発」や「非接触バイタルセンシングシステムの開発」,「屋内測位システム開発」などを実施しています.また,企業との共同研究としてセンサデータを用いたスマートファクトリー実現に関する研究や,医療機関と協力して内視鏡検査システムやシミュレーションモデルの開発などを実施しています.

研究室ホームページ:https://0093lab.r.chuo-u.ac.jp/
個人ホームページ:https://www.0093.tv/

External link

Degree

  • 博士(工学) ( 中央大学 )

  • 修士(工学) ( 中央大学 )

Education

  • 2012.3
     

    Chuo University   Graduate School, Division of Science and Engineering   doctor course   completed

  • 2009.3
     

    Chuo University   Graduate School, Division of Science and Engineering   master course   completed

  • 2008.3
     

    Chuo University   Graduate School, Division of Science and Engineering   others   others

  • 2007.3
     

    Chuo University   Faculty of Science and Engineering   graduated

Research History

  • 2022.4 - Now

    Chuo University   Faculty of Science and Engineering Department of Data Science for Business Innovation   Associate Professor

  • 2022.3 - Now

    Yokohama City University   School of Data Science   Visiting Associate Professor

  • 2020.4 - Now

    Kyushu University   Physiological Anthropology Research Center   Visiting Researcher

  • 2020.10 - 2022.3

    Chuo University

  • 2020.4 - 2022.3

    Yokohama City University   School of Data Science   Associate Professor

  • 2016.4 - 2020.3

    Fukuoka Women's University   International College of Arts and Sciences

  • 2014.4 - 2020.3

    Kyushu University   Faculty of Design Department of Communication Design Science   Assistant Professor

  • 2013.4 - 2014.3

    Hosei University   Faculty of Business Administration

  • 2012.4 - 2014.3

    Chuo University   Faculty of Science and Engineering   Assistant Professor

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Professional Memberships

  • 日本計算機統計学会

  • 電子情報通信学会

  • 日本統計学会

  • IEEE Industrial Electronics Society

  • 日本分類学会

  • 日本生理人類学会

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Research Interests

  • センサデータ解析

  • 機械学習

  • 計算機統計学

Research Areas

  • Informatics / Theory of informatics  / Sensing Data Analysis

  • Informatics / Theory of informatics  / Computational Statistics

  • Informatics / Statistical science  / 統計科学

Papers

  • Study on Model-Based Estimation of Continuous Blood Pressure From Pulse Arrival Time Using Two Doppler Radar Sensors Reviewed

    Takashi Ota, Kosuke Okusa

    IEEE Access   2025.6

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    Authorship:Last author, Corresponding author   Publishing type:Research paper (scientific journal)  

    DOI: 10.1109/ACCESS.2025.3579243

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  • Cost-effective Endoscopic Screening Strategies for Asymptomatic Gastric Cancer Invited Reviewed

    Fumiaki Ishibashi, Kosuke Okusa

    Digestion   1 - 16   2025.6

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    Authorship:Last author   Publishing type:Research paper (scientific journal)   Publisher:S. Karger AG  

    Background: In Japan, biennial esophagogastroduodenoscopy (EGD) screening for gastric cancer (GC) has been implemented for adults aged ≥50 years as part of a population-based screening program. This approach has facilitated early GC detection and demonstrated individual-level benefits. However, due to a generational decline in Helicobacter pylori infection, a reduction in the long-term effectiveness of this strategy is anticipated. Given the allocation of national resources, a cost-effectiveness evaluation is essential.Summary: As GC prevalence declines in the target population, the cost-effectiveness of existing screening practices may diminish. Mathematical simulation models are commonly employed to assess the comparative effectiveness and cost-effectiveness of various cancer screening strategies. Microsimulation models, which track individual-level outcomes, are utilized to evaluate person-level effects. By contrast, macrosimulation models—such as Markov and decision tree models—are used to assess population-level outcomes. Key Messages: Nine studies have compared different EGD screening strategies. These studies support the effectiveness of biennial screening in high-risk countries. In low- to intermediate-risk countries—and among lower-risk populations within high-risk countries—extending the screening interval to ≥3 years appears reasonable. Additionally, strategies incorporating risk stratification using alternative modalities, such as serological tests, are more cost-effective. Continued discussion is necessary to optimize the EGD screening approach.

    DOI: 10.1159/000546835

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  • Eye movement patterns associated with colorectal adenoma detection: a post hoc analysis of randomized controlled trial Reviewed

    Ishibashi, F., Okusa, K., Nagai, M., Mochida, K., Ozaki, E., Suzuki, S.

    Endoscopy International Open   2025

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    DOI: 10.1055/a-2549-1033.

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  • Effects of a training system that tracks the operator’s gaze pattern during endoscopic submucosal dissection on hemostasis. Reviewed

    Tonishi, T., Ishibashi, F., Okusa, K., Mochida, K., Suzuki, S.

    World Journal of Gastrointestinal Endoscopy   17 ( 3 )   2025

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  • Optimal visual gaze pattern of endoscopists for improving adenoma detection during colonoscopy Reviewed

    Nagai, M., Ishibashi, F., Okusa, K., Mochida, K., Ozaki, E., Morishita, T., Suzuki, S.

    Gastrointestinal Endoscopy   101 ( 3 )   639 - 646   2025

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  • Impact of Reviewing Visual Gaze Pattern Using Eye-Tracking Technology on Improving Endoscopic Submucosal Dissection Skills in Trainee Endoscopists Reviewed

    Dang, H.T., Ishibashi, F., Suzuki, S., Mochida, K., Tonishi, T., Okusa, K.

    Gastrointestinal Endoscopy   101 ( 5 )   2025

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  • Emotion Recognition through Skeletal Keypoints Extracted from Movie Frames by Ensemble Learning–Exploring the Approach of Training Emotion-Recognition Model for a Small Dataset– Reviewed

    KASUGAI, K., OKUSA, K., SHOJI, H.

    International Symposium on Affective Science and Engineering ISASE2025. Japan Society of Kansei Engineering.   2025

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  • Impact of Reviewing Procedure With Visual Gaze Patterns on Improving Endoscopic Submucosal Dissection Skills Reviewed

    Dang, H.T., Ishibashi, F., Okusa, K., Mochida, K., Tonishi, T., Suzuki, S.

    JGH Open   9 ( 6 )   2025

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  • Model-based estimation of heart movements using microwave Doppler radar sensor Reviewed

    Ota, T., Okusa, K.

    Journal of Physiological Anthropology volume   43 ( 2 )   2024

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  • A mathematical simulation model to determine the optimal endoscopic screening strategy for detection of H-pylori-naïve gastric neoplasms Reviewed

    Ishibashi, F., Okusa, K., Tokai, Y., Hirasawa, T., Kawakami, T., Mochida, K., Yanai, Y., Yokoi, C., Hayashi, Y., Ozawa, S., Uraushihara, K., Minato, Y., Nakanishi H., Ueyama, H., Kataoka, M., Toyama, Y., Mizokami, Y., Suzuki, S.

    Gastric Cancer   27   1078 - 1087   2024

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  • An Online System of Detecting Anomalies and Estimating Cycle Times for Production Lines Reviewed

    Ishizone, T., Higuchi, T., Okusa, K., Nakamura, K.

    48th Annual Conference of the IEEE Industrial Electronics Society (IECON 2022)   2022

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  • 移動体のシルエット形状のスケール補正法に関する研究 – 歩容解析への応用 - Invited Reviewed

    大草孝介

    計算機統計学   30 ( 2 )   201 - 212   2021

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  • A Statistical Study on Highly Accurate Quality Prediction for High-Mix Low-Volume Semiconductor Products Reviewed

    Okusa, K., Okazaki, T. & Yasuda, S.

    IEEE International Symposium on Semiconductor Manufacturing (ISSM).   2020

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  • The Reality of the Loudness War in Japan -The Case Study on Japanese Popular Music- Reviewed

    Watanabe, K., Kawahara, K., Nishida, K. & Okusa, K.

    Audio Engineering Society Convention   2020

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  • Relationship between Personality Traits and Constituent Factors in Impressions of Public Service: Impressions of City Office Staff as a Case Study Reviewed

    Kishida, F., Egashira, Y., Motoi, M., Okusa, K., Noto, H., Fuji, T., Ogata, Y. and Watanuki, S.

    Psychology   11 ( 1 )   1 - 12   2020

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  • 避難所に対するネガティブな先入観と性格特性の関連 Reviewed

    岸田文・江頭優佳・本井碧・大草孝介・能登裕子・藤智亮・尾方義人・綿貫茂喜

    地区防災計画学会誌   11 ( 1 )   1 - 12   2019

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  • Estimates for the Spatial Locations of the Indoor Objects by Using Radial Extreme Value Weibull Distribution Reviewed

    Okusa, K. & Kamakura, T.

    IAENG Transactions on Engineering Sciences   2019   59 - 70   2019

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  • Prediction of the number of defects in image sensors by VM using equipment QC data Reviewed

    Okazaki, T., Okusa, K. & Yoshida, K.

    IEEE Transactions on Semiconductor Manufacturing   32 ( 4 )   434 - 437   2019

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  • マイクロ波ドップラーセンサを用いたモデルベースの転倒状態推定に関する研究 Reviewed

    永沼暁・大草孝介

    計算機統計学   30 ( 1 )   17 - 30   2018

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  • Prediction of the number of defects in image sensors by VM using equipment QC data Reviewed

    Okazaki, T., Okusa, K. & Yoshida, K.

    IEEE International Symposium on Semiconductor Manufacturing (ISSM).   2018

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  • A Simulation Study for Performance Validate of Indoor Location Estimation based on the Radial Weibull/Extreme-Value Weibull Distribution Reviewed

    Okusa, K. & Kamakura, T.

    International Journal of Applied Mathematics   48 ( 2 )   111 - 117   2018

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  • 複数業務を行う窓口のサービス時間に着目した平均待ち時間の改善に関する研究 Reviewed

    永沼暁・大草孝介

    計算機統計学   30 ( 1 )   43 - 50   2018

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  • A Simulation Study on Performance Validation of Indoor Location Estimation Based on the Radial Positive Distribution Reviewed

    Okusa, K. & Kamakura, T.

    IAENG Transaction of Engineering Technologies   89 - 100   2017

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    Publishing type:Research paper (scientific journal)  

    DOI: 10.1007/978-981-10-2717-8

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  • Statistical Indoor Location Estimation for the NLoS Environment Using Radial Extreme Value Weibull Distribution. Reviewed

    Okusa, K. & Kamakura, T.

    Proceedings of The 2017 International Conference of Computational Statistics and Data Engineering   555 - 560   2017

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  • 日本のプロ・オーケストラのプログラミングに影響を及ぼす要因 –統計分析を通じて- Reviewed

    西田紘子・大草孝介

    日本文化政策学会   44 - 59   2017

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  • Young and Elderly, Normal and Pathological Gait Analysis Using Frontal View Gait Video Data Based on the Statistical Registration of Spatiotemporal Relationship Reviewed

    Okusa, K. & Kamakura, T.

    Cross-Cultural Design   668 - 678   2016

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    Publishing type:Research paper (scientific journal)  

    DOI: 10.1007/978-3-319-40093-8_66

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  • 個人の購買特性と閲覧回数を考慮した最適レコメンデーションシステムの設計 Reviewed

    大草 孝介・阿部 興・榎本 大起・桑原 洋祐・森 健人・加田 拓磨・佐藤 のぞみ・黒田 淑恵・長 亜沙美・猿田 将英・沖原 史章・露崎 博之・高須 靖子・勝 裕周・永井 利昌・吉田 敦・吉田 啓悟・鎌倉 稔成

    計算機統計学   29 ( 1 )   49 - 56   2016

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  • Young and Elderly, Normal and Pathological Gait Analysis Using Frontal View Gait Video Data Based on the Statistical Registration of Spatiotemporal Relationship Reviewed

    Okusa, K. & Kamakura, T.

    Proceedings of the 18th International Conference on Human-Computer Interaction (HCI International 2016)   2016

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  • 検索条件の共起性を用いた物件推薦アルゴリズムに関する研究 Reviewed

    大草 孝介・阿部 興・内藤 貴也・山口 直人・加田 拓磨・黒田 淑恵・佐藤 のぞみ・日高 明日香・森 健人・鎌倉 稔成

    計算機統計学   28 ( 2 )   147 - 154   2015

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  • Indoor Location Estimation based on the RSS method using Radial Log-normal Distribution. Reviewed

    Okusa, K. & Kamakura, T.

    Proceedings of the 16th IEEE International Symposium on Computational Intelligence and Informatics (CINTI2015)   29 - 34   2015

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  • Indoor Location Estimation based on the Statistical Spatial Modeling and Radial Distributions. Reviewed

    Okusa, K. & Kamakura, T.

    Proceedings of the World Congress on Engineering and Computer Science 2015 (WCECS 2015)   835 - 840   2015

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  • A Study on Gait Parameter Estimation Stability for the Frontal View Gait Video Data based on Simulation Reviewed

    Okusa, K. & Kamakura, T.

    IAENG Transactions on Engineering Sciences   421 - 428   2014

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    Publishing type:Research paper (scientific journal)  

    DOI: 10.1201/b16763-46

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  • Statistical Registration of Frontal View Gait Silhouette with Application to Gait Analysis Reviewed

    Okusa, K. & Kamakura, T.

    Proceedings of the International Conference of Computational Statistics (COMPSTAT 2014)   411 - 418   2014

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  • アクセス遷移の傾向解析に基づくページ分類とそこから得られる知見について Reviewed

    大草孝介・阿部興・乾秀平・五十嵐悠貴・岩井佑二郎・小林千鶴・辻村朋大・福元啓祐・呂佳興・吉江勇人・鎌倉稔成

    計算機統計学   27 ( 1 )   81 - 93   2014

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  • Fast Frontal View Gait Authentication Based on the Statistical Registration and Human Gait Modeling Reviewed

    Okusa, K. & Kamakura, T.

    Proceedings of the World Congress on Engineering 2013 (WCE 2013)   274 - 279   2013

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  • Gait Parameter and Speed Estimation from the Frontal View Gait Video Data Based on the Gait Motion and Spatial Modeling Reviewed

    Okusa, K. & Kamakura, T.

    International Journal of Applied Mathematics   43 ( 1 )   37 - 44   2013

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  • Fast Gait Parameter Estimation for Frontal View Gait Video Data Based on the Model Selection and Parameter Optimization Approach Reviewed

    Okusa, K. & Kamakura, T.

    International Journal of Applied Mathematics   43 ( 4 )   220 - 225   2013

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  • Statistical Recognition of Aspiration Presence with Microwave Doppler Signals Reviewed

    Inui, S., Okusa, K., Maeno, K. & Kamakura, T.

    IAENG Transaction of Engineering Technologies   541 - 553   2013

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  • Human Gait Modeling and Statistical Registration for the Frontal View Gait Data with Application to the Normal/Abnormal Gait Analysis Reviewed

    Okusa, K. & Kamakura, T.

    IAENG Transaction of Engineering Technologies   525 - 539   2013

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  • 移動体の大きさの変動を考慮した歩容解析のための動作パラメータ・移動速度変動の推定 Reviewed

    大草孝介・鎌倉稔成

    計算機統計学   24 ( 2 )   89 - 108   2012

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  • Statistical Disturbance Rejection of the Background Noise by Microwave Doppler Radar - Modelization of a Electric Fan Noise Reviewed

    Tsujimura, T., Okusa, K., Maeno, K. & Kamakura, T.

    Proceedings of the World Congress on Engineering and Computer Science 2012 (WCECS 2012)   455 - 458   2012

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  • Recognizing Aspiration Presence using Model Parameter Classification from Microwave Doppler Signals Reviewed

    Inui, S., Okusa, K., Maeno, K. & Kamakura, T.

    Proceedings of the World Congress on Engineering and Computer Science 2012 (WCECS 2012)   509 - 512   2012

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  • Normal/Abnormal Gait Analysis based on the Statistical Registration and Modeling of the Frontal View Gait Data Reviewed

    Okusa, K. & Kamakura, T.

    Proceedings of the World Congress on Engineering and Computer Science 2012 (WCECS 2012)   443 - 448   2012

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  • Statistical Registration and Modeling of Frontal View Gait Data with Application to the Human Recognition Reviewed

    Okusa, K. & Kamakura, T.

    Proceedings of the International Conference of Computational Statistics.(COMPSTAT 2012)   677 - 688   2012

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  • 動画像に基づく移動オブジェクトの大きさに関する統計的レジストレーション - 歩行動画像への応用 Reviewed

    大草孝介・鎌倉稔成・村上秀俊

    計算機統計学   23 ( 2 )   97 - 111   2011

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Books

  • 新編生理人類士入門

    生理人類士認定委員会

    国際文献社  2022.2  ( ISBN:9784910603025

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    Total pages:4, 263p   Language:Japanese  

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  • Pythonによる機械学習 : 予測解析の必須テクニック

    Bowles, Michael, 露崎, 博之, 山本, 康平, 大草, 孝介

    共立出版  2019.4  ( ISBN:9784320124387

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    Total pages:xvi, 316p   Language:Japanese  

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  • 統計科学百科事典

    Lovric, Miodrag, 日本統計学会

    丸善出版  2018.12 

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    Total pages:p1631-2054   Language:Japanese  

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Presentations

  • ベイズ推定の理論と実践 ベイズ的仮説検定を例に

    大草孝介

    2024年度日本生理人類学会フロンティアミーティング(秋期)  2024 

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    Event date: 2024 -  

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  • シミュレーションモデルによるH.pylori未感染胃腫瘍スクリーニング戦略の最適化

    石橋史明, 大草孝介, 鈴木翔

    肝臓 65  2024 

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  • 大腸内視鏡検査における施行医の視線誘導システムの開発

    永井瑞紀, 石橋史明, 大草孝介

    Gastroenterological Endoscopy 66  2024 

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    Event date: 2024 -  

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  • 大腸内視鏡検査時の視線移動パターンとADRの関係に関する研究

    蛯名こころ, 石橋史明, 大草孝介

    2024年度日本生理人類学会フロンティアミーティング  2024 

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  • マイクロ波レーダーを用いた心動作モデリングによる非接触ストレス推定法の開発

    土谷睦月, 渡邊葵, 太田隆, 大草孝介

    2024年度日本生理人類学会フロンティアミーティング  2024 

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  • ドップラセンサを用いた心動作のモデリングによるRR間隔の推定

    太田隆, 大草孝介

    日本生理人類学会第85回大会  2024 

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  • 骨格座標データを用いた姿勢からの感情予測の試み

    春日井海, 牧草夏実, 大草孝介, 庄司 裕子

    第19回日本感性工学会春季大会  2024 

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  • アイトラッキング技術による大腸ポリープ発見率を向上させるための内視鏡医の視線パターンの探索

    石橋史明, 永井瑞紀, 鈴木翔, 大草孝介, 持田賢太郎, 森下鉄夫, 海老沼浩利

    国際医療福祉大学学会誌 28  2023.9 

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    Event date: 2023.9 -  

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  • マイクロ波ドップラセンサを用いた心動作のモデリングによる心周期の推定

    太田隆, 大草孝介

    日本計算機統計学会第37回シンポジウム  2023 

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  • オートエンコーダを用いたモデルベースのレーダー信号異常検出と歩行分析への応用

    田中琉偉, 大草孝介

    日本計算機統計学会第37回シンポジウム  2023 

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  • 転移学習を用いた楽器編成の自動認識

    片山健悟, 大草孝介

    日本計算機統計学会第37回大会  2023 

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  • 競走馬の画像データによる各個体が持つ特性の抽出

    相川優哉, 大草孝介

    日本計算機統計学会第37回大会  2023 

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  • Model-Based Radar Signal Anomaly Detection Using Autoencoder with Application to Gait Analysis

    Tanaka, R., Okusa, K.

    The 12th conference of the Asian Regional Section of the International Association for Statistical Computing (IASC-ARS)  2023 

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  • Statistical estimation of heart movements by microwave Doppler radar sensor

    Ota, T., Okusa, K.

    The 25th International Conference on Computational Statistics (COMPSTAT2023)  2023 

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  • 生理・性格データからの快不快情動の統計的推測 Invited

    大草孝介

    未来デザイン学センター・生理人類学会共催シンポジウム「サイエンスとデザイン5「AIとヒト」」  2022 

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    Event date: 2022 -  

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  • 統計学における個人差のモデリング:階層ベイズモデルの視点から Invited

    大草孝介

    第81回日本生理人類学会大会  2020 

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  • 混合モデルの構造と解析手法について – 一般線形モデルと比較して

    大草孝介

    日本生理人類学会第81回大会  2020 

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  • 円周状確率分布を用いた高精度屋内位置推定システムの開発と災害時避難誘導への応用

    大草孝介, 鎌倉稔成

    日本計算機統計学会第34回シンポジウム  2020 

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  • モーションキャプチャシステムを用いた長距離走選手の走行フォーム解析に関する研究

    大草孝介, 鎌倉稔成

    日本計算機統計学会第33回シンポジウム  2019 

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  • 円周状確率分布を用いた高速な屋内測位技術の開発と対象の行動状態推定に関する研究

    大草孝介, 武尾信之介, 鎌倉稔成

    日本計算機統計学会第33回大会  2019 

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  • 援助要請行動の抑制要因と性格特性の関連 −役所への負の印象に着目して−

    岸田文, 本井碧, 西村英伍, 尾方義人, 藤智亮, 大草孝介, 綿貫茂喜

    日本生理人類学会第78回大会  2018 

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  • 個人の特性に適した防災教育基礎的検討

    岸田文, 中島孝明, 大草孝介, 能登裕子, 藤智亮, 尾方義人, 綿貫茂喜

    日本生理人類学会第77回大会  2018 

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  • 複数業務を行う窓口のサービス時間に着目した平均待ち時間の改善に関する研究

    永沼暁, 大草孝介

    日本計算機統計学会第31回シンポジウム  2017 

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  • 円周状対数正規分布を用いた NLoS 環境下における室内位置推定とその高速化に関する研究

    武尾信之介, 大草孝介, 鎌倉稔成

    日本計算機統計学会第31回シンポジウム  2017 

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  • 熊本地震避難所の掲示情報からみる生活者のレジリエンス分析

    尾方義人, 江頭優佳, 能登裕子, 縄田健悟, 大草孝介, 藤智亮, 綿貫茂喜, 山田クリス孝介

    地区防災計画学会第3回大会  2017 

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  • レジリエンスデザインによるサービス設計方法

    尾方義人, 西村英伍, 山田クリス孝介, 江頭優佳, 能登裕子, 縄田健悟, 大草孝介, 藤 智亮, 綿貫茂喜

    サービス学会第5回国内大会  2017 

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  • センシングデータの統計解析 Invited

    大草孝介

    第11回日本統計学会春季集会  2017 

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  • マイクロ波ドップラーセンサによる転倒検知のための幾つかの分類モデルの評価

    永沼暁, 大草孝介

    科研費シンポジウム「空間データと災害の統計モデル」  2017 

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  • 映像データを用いた撮影方向にロバストな歩容特徴量の抽出 - 歩容解析への応用

    原晋之介, 大草孝介, 鎌倉稔成

    科研費シンポジウム「空間データと災害の統計モデル」  2017 

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  • 円周状分布を用いた室内位置推定のための幾つかの正の分布の評価

    武尾信之介, 大草孝介, 鎌倉稔成

    科研費シンポジウム「空間データと災害の統計モデル」  2017 

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  • Direction of services to improve resilience capability during disasters

    Noto, H., Ogata, Y., Nawata, K., Watanuki, S., Fuji, T., Okusa, K.

    TNMC & WANS International Nursing Research Conference 2017  2017 

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  • Statistical Analysis for Estimating Multiple Stopped States in Walking Motions

    Kamakura, T., Okusa, K.

    10th International Conference on Multiple Comparison Procedure  2017 

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  • ドップラーセンサを用いた転倒動作のモデリングに関する研究 - 転倒検知システムへの応用

    永沼暁, 大草孝介

    日本計算機統計学会第30回大会  2016 

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  • ドップラーセンサを用いた転倒動作の統計的モデリング

    永沼暁, 大草孝介

    科研費シンポジウム「空間データと災害の統計モデル」  2016 

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  • Statistical indoor location estimation for the NLoS environment using radial distributions

    Okusa, K., Kamakura, T.

    Australian Statistical Conference  2016 

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  • Gröbner basis calculation over the finite field GF(p) by R-program and its application to tensor rank determination problems

    Sakata, T., Okusa, K., Sumi, T., Miyazaki, M.

    Proceedings of Joint Meeting of IASC-ABE  2015 

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  • 個人の購買特性と閲覧回数を考慮した最適レコメンデーションシステムの設計

    森健人, 秋元良友, 加田拓磨, 桑原洋祐, 吉田敦, 露崎博之, 大草孝介, 鎌倉稔成

    日本計算機統計学会第28回シンポジウム  2014 

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  • ドップラーセンサを用いた信号平面上の分布に基づく統計的解析

    秋元良友, 大草孝介, 鎌倉稔成

    日本計算機統計学会第28回シンポジウム  2014 

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  • 形状に基づく歩容認証への適⽤のための正⾯歩⾏映像のスケール補正法に関する研究

    大草孝介, 鎌倉稔成

    西東京統計研究会  2014 

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  • Functional data analysis of running data by 3D-motion capture

    Sakumura, T., Okusa, K., Kamakura, T.

    Proceedings of The 7th International Conference of the ERCIM WG on Computational and Methodological Statistics  2014 

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  • Statistical analysis of human respiration based on complex signals with Doppler radar

    Akimoto, Y., Okusa, K., Kamakura, T.

    Proceedings of The 7th International Conference of the ERCIM WG on Computational and Methodological Statistics  2014 

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  • Frontal view gait analysis using weighted center of gait silhouette based on the scale registration

    Isaka, W., Okusa, K., Kamakura, T.

    Proceedings of The 7th International Conference of the ERCIM WG on Computational and Methodological Statistics  2014 

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  • Estimation of running distance of top tennis players from video images and its applications

    Sakata, T., Okusa, K., Sakamoto, H., Yoshinaga, Y., Ohnishi, T.

    Proceedings of The 7th International Conference of the ERCIM WG on Computational and Methodological Statistics  2014 

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  • ドップラーセンサを用いた外乱環境下における生体検知に関する研究

    大草孝介, 鎌倉稔成

    日本計算機統計学会第27回シンポジウム  2013 

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  • 空間上のイベントの発生および位置の計測と統計的モデリング

    鎌倉稔成, 大草孝介

    2013年度統計関連学会連合大会  2013 

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  • ドップラーセンサを用いた人体モデリングによる異常状態検知に関する研究

    大草孝介, 鎌倉稔成

    2013年度統計関連学会連合大会  2013 

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  • 検索条件の共起関係に基づく物件推薦アルゴリズムに関する統計的研究

    大草孝介, 阿部興, 内藤貴也, 山口直人, 加田拓磨, 黒田淑恵, 佐藤のぞみ, 日高明日香, 森健人, 鎌倉稔成

    日本計算機統計学会第27回大会  2013 

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  • 正面歩行動画像による歩容認証のためのパラメータ選択に関する研究

    大草孝介, 鎌倉稔成

    西東京統計研究会  2013 

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  • Detecting the Wave Pattern of Respiration Based on Circular Distribution of Doppler Signals

    Akimoto, Y., Okusa, K., Kamakura, T.

    Proceedings of Ishigaki International Conference on Modern Statistics Theories Practices  2013 

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  • General Computing on GPU for Statistical Calculation and Benchmarks

    Hoshino, R., Okusa, K., Kamakura, T.

    Proceedings of Ishigaki International Conference on Modern Statistics Theories Practices  2013 

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  • Human Gait Analysis Using Microwave Doppler Signal Based on the Gait Modeling and Parameter Estimation

    Okusa, K., Kamakura, T.

    Proceedings of Ishigaki International Conference on Modern Statistics Theories Practices  2013 

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  • Estimates for the Spatial Locations of the Indoor Objects by Radial Distributions

    Kamakura, T., Okusa, K.

    Proceedings 59th ISI World Statistics Congress  2013 

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  • A Study on Statistical Human Joint Models with Application to the Long-distance Running

    Okusa, K., Kamakura, T.

    Proceedings 59th ISI World Statistics Congress  2013 

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  • Statistical Estimation for Fixation Points of Eye Movements

    Kamakura, T., Okusa, K.

    Proceedings of the 8th International Conference on Multiple Comparison Procedures  2013 

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  • 人体関節軌道の統計的モデリング -長距離走への応用-

    大草孝介, 鎌倉稔成

    科研費シンポジウム「統計的推測とその応用 正則と非正則」  2012 

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  • モーションキャプチャを用いた長距離走選手の運動フォームのモデリングに関する統計的研究

    大草孝介, 鎌倉稔成

    日本計算機統計学会  2012 

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  • モーションキャプチャシステムを用いた長距離走選手の運動特性解析に関する統計的研究

    大草孝介, 鎌倉稔成

    統計関連学会連合大会. p.241  2012 

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  • アクセス遷移の傾向に関する分析とそこから得られる知見について

    大草孝介, 阿部興, 乾秀平, 五十嵐悠貴, 岩井佑二郎, 小林千鶴, 辻村朋大, 福元啓祐, 呂佳興, 吉江勇人, 鎌倉稔成

    日本計算機統計学会  2012 

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  • マイクロ波ドップラーセンサを用いた非接触型心拍推定に関する統計的研究

    乾秀平, 大草孝介, 鎌倉稔成

    西東京統計研究会  2012 

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  • マイクロ波ドップラーセンサを用いた歩容解析に関する統計的研究

    大草孝介, 福元啓祐, 鎌倉稔成

    西東京統計研究会  2012 

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  • Statistical Estimation of the Accurate Location Based on the Indoor Positioning Systems

    Kamakura, T., Okusa, K.

    Proceedings of the International Conference of Computational Statistics  2012 

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  • 移動体の大きさに関するレジストレーションと動作パラメータ・移動速度変動の推定 - 歩容解析への応用

    大草孝介, 鎌倉稔成

    日本計算機統計学会  2011 

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  • 動的時間伸縮法を用いた行動認識手法の提案と検証

    上溝斎, 大草孝介, 鎌倉稔成

    西東京統計研究会  2011 

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  • 移動体のスケールに関する統計的レジストレーション - 歩容認証への応用

    大草孝介, 鎌倉稔成

    西東京統計研究会  2011 

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  • Statistical Gait Analysis Based on the Microwave Doppler Sensor Data

    Fukumoto, K., Okusa, K., Kamakura, T.

    Proceedings of Joint Meeting of the Korea-Japan Conference of Computational Statistics and the 25th Symposium of Japanese Society of Computational Statistics  2011 

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  • Feature Selection for Conditional Random Field Based on the Multivariate Time Series Data with Application to the Activity Recognition

    Tsujimura, T., Okusa, K., Kamakura, T.

    Proceedings of Joint Meeting of the Korea-Japan Conference of Computational Statistics and the 25th Symposium of Japanese Society of Computational Statistics  2011 

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  • Statistical Heartbeat Pace Estimation Based on the Microwave Doppler Sensor Data

    Inui, S., Okusa, K., Kamakura, T.

    Proceedings of Joint Meeting of the Korea-Japan Conference of Computational Statistics and the 25th Symposium of Japanese Society of Computational Statistics  2011 

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  • A Statistical Registration of Scale-Changing and Moving Objects with Application to the Human Gait Authentication

    Okusa, K., Kamakura, T.

    ISI World Statistical Congress  2011 

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  • スポーツ解析と統計教育

    鎌倉稔成, 小椋透, 大草孝介

    統計関連学会連合大会  2010 

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  • 多次元時系列データのクラス分類に関する研究 - 行動認識への応用

    大草孝介, 鎌倉稔成

    応用統計学会  2010 

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  • Hybrid Multiple-HMM/SVM による角速度・加速度センサ を用いた運動識別に関する統計的研究

    大草孝介, 鎌倉稔成

    西東京統計研究会  2010 

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  • Statistical classification algorithm for infrasonic frequency multivariate time-series data with application to human activity recognition

    Okusa, K., Kamakura, T.

    Australian Statistical Conference  2010 

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  • An application of the sound recognition technique to the human action acknowledgment

    Uemizo, I., Okusa, K., Kamakura, T.

    Australian Statistical Conference  2010 

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  • 行動認識における音声認識手法の適用

    上溝斎, 大草孝介, 鎌倉稔成

    日本計算機統計学会  2009 

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  • 変数に制約のあるクラスタリングのシミュレーション研究

    清水時子, 大草孝介, 鎌倉稔成

    統計関連学会連合大会  2009 

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  • 変化点のモデリングによる注視領域の推定

    大草孝介, 村上秀俊, 鎌倉稔成

    統計関連学会連合大会  2009 

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  • 変数に時間的順序のあるクラスタリングに関する研究

    清水時子, 大草孝介, 鎌倉稔成

    応用統計学会  2009 

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  • 視覚データを用いた注視点推定に関する統計的研究

    大草孝介, 大根田知也, 鎌倉稔成

    応用統計学会  2009 

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  • 動画像に基づく歩行運動の特徴量の統計的比較

    大草孝介, 鎌倉稔成, 村上秀俊

    日本計算機統計学会  2008 

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  • 正面歩行動画像の統計的補正法に関する研究

    大草孝介, 鎌倉稔成, 村上秀俊

    西東京統計研究会  2008 

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  • 動画像による移動オブジェクトの計測とレジストレーション

    大草孝介, 鎌倉稔成, 村上秀俊

    統計関連学会連合大会  2007 

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  • 歩行状態の動画データによる統計解析

    大草孝介, 鎌倉稔成

    日本計算機統計学会  2007 

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Awards

  • SIIQ技術大賞

    2019.7   九州半導体・エレクトロニクスイノベーション協議会(SIIQ)   半導体製造における撮像欠陥数の推定に関する統計的研究

  • Best of the Best Paper Award

    2018.12   Prediction of the Number of Defects in Image Sensors by VM using Equipment QC Data

  • Best Paper Award

    2017.7   The 2017 International Conference of Computational Statistics and Data Engineering   Statistical Indoor Location Estimation for the NLoS Environment Using Radial Extreme Value Weibull Distribution

  • 学術研究奨励賞

    2013.3   中央大学  

  • データ解析コンペティション課題設定部門 日本計算機統計学会スタディグループ 優秀賞

    2013.2   日本計算機統計学会  

  • Certificate of Merit

    2012.11   International Association of Engineers   Normal/Abnormal Gait Analysis based on the Statistical Registration and Modeling of the Frontal View Gait Data.

  • 奨励賞

    2012.5   日本計算機統計学会   動画像に基づく移動オブジェクトの大きさに関する統計的レジストレーション - 歩行動画像への応用 及び 移動体の大きさの変動を考慮した歩容解析のための動作パラメータ・移動速度変動の推定

  • データ解析コンペティション自由課題学生部門 日本計算機統計学会スタディグループ 優秀賞

    2012.3   日本計算機統計学会  

  • 渋谷健一賞

    2011.3   中央大学   多次元時系列データのクラス分類に関する研究‐行動認識への応用

  • 優秀ポスター発表賞

    2010.5   応用統計学会   多次元時系列データのクラス分類に関する研究‐行動認識への応用

  • 学員会会長賞

    2009.3   中央大学   動画像に基づく歩行運動の特徴量の統計的比較

  • 学生研究発表賞

    2008.5   日本計算機統計学会   動画像に基づく歩行運動の特徴量の統計的比較

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Research Projects

  • Estimation of dream content by machine learning using magnetoencephalographic data.

    Grant number:24K02980  2024.4 - 2029.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (B)  Kyushu University

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    Grant amount: \18460000 ( Direct Cost: \14200000 、 Indirect Cost: \4260000 )

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  • Integration of a deep probabilistic model and an outlier detection method with an attention mechanism and its application to super-high dimensional time series data

    Grant number:23K28047  2023.4 - 2027.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (B)  Chuo University

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    Grant amount: \18330000 ( Direct Cost: \14100000 、 Indirect Cost: \4230000 )

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  • 大腸腫瘍発見率向上を目指した視線移動パターン指図システムの開発

    Grant number:23K11902  2023.4 - 2026.3

    日本学術振興会  科学研究費助成事業  基盤研究(C)  国際医療福祉大学

    石橋 史明, 大草 孝介

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    Grant amount: \4680000 ( Direct Cost: \3600000 、 Indirect Cost: \1080000 )

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  • 後工程AGVの渋滞予測モデル構築に関する研究

    2025.4 -  

    ソニーセミコンダクタマニュファクチャリング株式会社 

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  • シリコンウェハーの面内分布予測に関する数理モデル開発

    2022.4 - 2025.3

    ソニーセミコンダクタマニュファクチャリング株式会社 

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  • Development of pattern recognition algorithm for ultra low frequency multivariate time-series data considering dimensional correlation

    Grant number:21K11938  2021.4 - 2024.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (C)  Yokohama City University

    OKUSA KOSUKE

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    Grant amount: \3770000 ( Direct Cost: \2900000 、 Indirect Cost: \870000 )

    When performing pattern recognition using multidimensional time-series data, it is crucial to consider the frequency characteristics and the correlations between dimensions. However, when the observed sequences, such as human motions, are short-term and ultra-low frequency signals, these features are not easily extractable, making it exceedingly difficult to analyze them while taking these aspects into account. This study aims to develop an analysis method that can stably infer features under the constraint of the observed sequences being multidimensional ultra-low frequency stream data. Specifically, the research focused on vital detection such as heart rate and blood pressure, conducting experiments and validations. By incorporating mathematical models using information obtained from multidimensional sensor data with one or multiple microwave sensors, the study aims to improve measurement accuracy.

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  • 半導体原材料の品質予測に関する研究

    2023.11 -  

    東京応化工業株式会社 

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    Authorship:Principal investigator 

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  • 半導体原材料サプライチェーンの需要予測

    2023.11 -  

    東京応化工業株式会社 

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  • TEM画像におけるナノクリスタルの特徴抽出に関する研究

    2020.10 - 2023.10

    東京応化工業株式会社 

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  • 半導体製造における仕掛り分析に関する統計的研究

    2020.4 -  

    ソニーセミコンダクタマニュファクチャリング株式会社 

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  • 人情動状態をグループ分類推定する技術の予備検討

    2018.1 - 2019.6

    株式会社ホンダ・リサーチ・インスティチュート・ジャパン 

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    Authorship:Principal investigator 

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  • 製品出来栄え予測モデル構築に関する統計的研究

    2018.4 - 2019.3

    ソニーセミコンダクタマニュファクチャリング株式会社 

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  • Efficient Use of a Weakly Informative Prior: Bayesian Likelihood and the Unification of Multiple Sources of Information

    Grant number:15K00061  2015.4 - 2019.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (C)  The Institute of Statistical Mathematics

    Yanagimoto Takemi, Ogura Toru, Tahata Kouji, Ohkusa Kosuke

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    Grant amount: \3510000 ( Direct Cost: \2700000 、 Indirect Cost: \810000 )

    The proposed research subject was to obtain properties of the e-mixture Bayesian likelihood and its implications to the unification of multiple sources of information. This task was performed in a satisfactory way. This success is fortunately supported by the fact that Jeffreys' or the reference prior implies favorable estimators. In other words, the maximum likelihood estimator behaves poorly. In the last scheduled yea necessary risk comparison studies were conducted.
    In this process we obtain a new idea of our further studies. The Laplace distribution has been attracted reseachers' attentions, because of its favorable relationship between the median and the maximum likelihood estimator. It becomes clear that our approach can be extended to covering this distribution, which allows us the efficient use of this promising distribution.

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  • 半導体製造における撮像欠陥数の推定に関する統計的研究

    2017.10 - 2018.3

    ソニーセミコンダクタマニュファクチャリング株式会社 

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  • Service Design Utilizing Daily Life Information to Improve the Quality of Life of the Healthy Older People

    Grant number:15H01761  2015.4 - 2018.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (A)  Kyushu University

    Tamura Ryoichi

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    Grant amount: \38610000 ( Direct Cost: \29700000 、 Indirect Cost: \8910000 )

    This study aims to consider services utilizing daily life information to improve the quality of life of healthy older people through conducting the large-scale questionnaire survey, the field survey using devices to measure indoor or outdoor daily life, and consideration of the indoor sensing technology.
    As a result, from the questionnaire survey, it was found that proposal of services aiming for enjoyment, anxiety, and ikigai are necessary considering the differences in household structure and gender. From field survey, we found the possibility of development of applications utilizing living records, and humane services that watch based on daily life information. And we built the indoor position estimation algorithm using RSS type sensors.

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  • A study on pattern recognition of infrasonic multivariate time-series data

    Grant number:26730021  2014.4 - 2017.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Young Scientists (B)  Kyushu University

    OKUSA KOSUKE

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    Grant amount: \2990000 ( Direct Cost: \2300000 、 Indirect Cost: \690000 )

    In this research, we focused on statistical analysis of multivariate low frequency stream data, especially the pattern recognition method. To confirm the performance of proposed method, we mainly focused on the sensing data analysis which is a typical example of multivariate low frequency stream data.
    In this study, as a specific example, we focused on two cases of sensing data analysis. First case is developing the life-watching system using microwave Doppler rader. Second case is statistical indoor location estimation system using ToA/RSS measurement system. Finally, our proposed method showed good performance for both examples than previous methods.
    These results were reported to peer-reviewed papers and international conferences.

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  • Evaluation of location estimates based on the Radial distributions generated by positive distributions

    Grant number:26540014  2014.4 - 2017.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Challenging Exploratory Research  Chuo University

    Kamakura Toshinari, OKUSA Kosuke

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    Grant amount: \3640000 ( Direct Cost: \2800000 、 Indirect Cost: \840000 )

    We have developed algorithms for finding the confidence region for specifying the confidence level that trusts the location estimates by constructing the statistical model and estimating its parameters of the position estimation of the person in the room with high precision. It is possible to accurately estimate the location parameter by the rotation distributions from the Weibull distribution and the lognormal distribution which are positive distributions. By using the implicit function theorem, we can calculate the asymptotic distribution of the conditional maximum likelihood estimators for confidence regions of the location.

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Committee Memberships

  • 2025.4 - Now

    日本計算機統計学会   広報理事  

  • 2025.1 - Now

    日本統計学会   代議員  

  • 2023.1 - Now

    日本生理人類学会   代議員  

  • 2021.10 - Now

    International Association for Statistical Computing   Executive Committee  

  • 2015.1 - Now

    日本計算機統計学会   和文誌編集委員  

  • 2014.5 - Now

    日本計算機統計学会   広報委員  

  • 2021.1 - 2025.3

    日本計算機統計学会   評議員  

  • 2019.1 - 2025.3

    日本計算機統計学会   庶務理事  

  • 2019.4 - 2023.3

    統計関連学会連合   幹事  

  • 2021.1 - 2022.12

    日本統計学会   代議員  

  • 2015.1 - 2018.12

    日本計算機統計学会   広報理事  

  • 2014.1 - 2015.12

    日本計算機統計学会   選挙管理委員  

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Media Coverage

  • 熊本地震、張り紙に「隠れた課題」 Newspaper, magazine

    西日本新聞  2017.3

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  • 被災者のニーズ、貼り紙から解読 Newspaper, magazine

    朝日新聞  2017.3

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  • 高齢者の見守り、安静時でも Newspaper, magazine

    日本経済新聞  2012.12

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