KAGEYAMA Yoichi

写真a

Affiliation

Graduate School of Engineering Science  Department of Mathematical Science and Electrical-Electronic-Computer Engineering  Human-Centered Computing Course 

Laboratory Address

1-1 Tegata Gakuen-machi, Akita-shi , Akita

Homepage URL

https://adeos6.ie.akita-u.ac.jp/

Mail Address

E-mail address

Research Interests 【 display / non-display

  • ヒューマンセンシング

  • リモートセンシング

  • 画像情報処理

  • 機械学習

  • 視覚認知

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Graduating School 【 display / non-display

  • 1991.04
    -
    1995.03

    Akita University   Faculty of Mining   Graduated

Graduate School 【 display / non-display

  • 1995.04
    -
    1997.03

    Akita University  Graduate School, Division of Mining  Master's Course  Completed

Campus Career 【 display / non-display

  • 2016.04
    -
    Now

    Akita University   Graduate School of Engineering Science   Department of Mathematical Science and Electrical-Electronic-Computer Engineering   Human-Centered Computing Course   Professor  

  • 2013.07
    -
    2016.03

    Akita University   Graduate School of Engineering and Resource Science   Department of Computer Science and Engineering   Professor  

  • 2010.04
    -
    2013.06

    Akita University   Graduate School of Engineering and Resource Science   Department of Computer Science and Engineering   Associate Professor  

  • 2008.04
    -
    2010.03

    Akita University   Associate Professor  

  • 2004.03
    -
    2007.03

    Akita University   Department of Computer Science and Engineering   Associate Professor  

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Academic Society Affiliations 【 display / non-display

  • 2009.01
    -
    Now
     

    Japan

     

    Japan SOciety for Fuzzy Theory and intelligent informatics

  • 2008.11
    -
    Now
     

    Japan

     

    the Illuminating Engineering Institute of Japan

Research Areas 【 display / non-display

  • Informatics / Perceptual information processing

  • Informatics / Human interface and interaction

  • Informatics / Kansei informatics

  • Manufacturing Technology (Mechanical Engineering, Electrical and Electronic Engineering, Chemical Engineering) / Control and system engineering

 

Research Achievements 【 display / non-display

    ◆Original paper【 display / non-display

  • Estimation of Emotional Arousal using Facial Skin Temperature and Body Movement Information for Older People Playing Esports

    A. Miura, Y. Kageyama, H. Shirai, C. Ishizawa, K. Suehiro, N. Takahashi, H. Saito, T. Kobayashi, F. Watanabe, H. Satake, N. Sato

    ICIC Express Letters Part B: Applications   in press   2024.07  [Refereed]

    Research paper (journal)   Domestic Co-author

  • Defect Detection of Metal-ceramic Substrate Based on Image Processing and Machine Learning

    M. Zou, K. Matsunaga, Y. Ueda, T. Sugawara, H. Osanai, Y. Kageyama

    IEEJ Journal of Industry Applications   13 ( 4 ) in press   2024.06  [Refereed]

    Research paper (journal)   Domestic Co-author

  • Automated Correction of Eye-tracking Data for Detecting Difficult-to-Read Characters in Japanese Text

    Y. Ito, C. Ishizawa, Y. Kageyama

    IEEJ Transactions on Electrical and Electronic Engineering ( Wiley )  19 ( 6 )   2024.03  [Refereed]

    Research paper (journal)   Domestic Co-author

    DOI

  • Action Recognition of Simulated Workplace with Occlusion based on Interpolated Skeleton Data using OpenPose

    Hechen Yun, Etsuro Nakamura, Yoichi Kageyama, Chikako Ishizawa, Nobuhiko Kato, Ken Igarashi, Ken Kawamoto

    International Journal of Innovative Computing, Information and Control ( ICIC International )  20 ( 1 ) 231 - 247   2024.01  [Refereed]

    Research paper (journal)   Domestic Co-author

    DOI

  • Color Change Analysis of Raw Chicken Breast over Different Timestamps Using CNNs

    M. Zou, Y. Kageyama, A. Yuan

    IEEJ Transactions on Electrical and Electronic Engineering ( Wiley )  19 ( 4 ) tee.23996   2024.01  [Refereed]

    Research paper (journal)   International Co-author

    DOI

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    ◆Introduction and explanation【 display / non-display

  • Extraction of Character Sequences from Signboards by Using Background Color Information

    M. Nomura, T. Suzuki, Y. Kageyama, C. Ishizawa and M. Nishida

    Electronics and Communications in Japan ( Wiley Periodicals, Inc. )  98 ( 8 ) 57 - 68   2015.07

    Introduction and explanation (others)   Domestic Co-author

    DOI

  • Quantification of Emotions for Facial Expression: Generation of Emotional Feature Space Using Self-Mapping

    M. Ishii, T. Shimodate, Y. Kageyama, T. Takahashi, M. Nishida

    Developments and Applications of Self-Organizing Maps ( In-tech )    2012.11

    Introduction and explanation (commerce magazine)   Domestic Co-author

    DOI

  • Automatic Extraction of Ground Control Points from NOAA-AVHRR Data:Use of Run-Length Matrix and Features in the adjacent pixels

    Yoichi Kageyama, Makoto Nishida

    Image Lab.   21 ( 8 ) 27 - 32   2010.08

    Introduction and explanation (commerce magazine)   Domestic Co-author

  • Method for Recognizing Circular Road Signs in Color Scene Images: Recognition of Circular Road Signs due to Color and Shape Information

    Yoichi Kageyama, Makoto Nishida

    Image Lab.   18 ( 12 ) 7 - 11   2007.12

    Introduction and explanation (commerce magazine)   Domestic Co-author

  • Lineament Detection from Land Cover Information in Mixels Using Landsat-TM data

    Y. Kageyama, M. Nishida

    Electrical Engineering in Japan ( Wiley Periodicals, Inc. )  148 ( 4 ) 65 - 73   2004.09

    Introduction and explanation (scientific journal)   Domestic Co-author

    マルチスペクトルデータであるランドサットTMデータを用い,ミクセルを考慮した土地被覆物の空間情報を特徴量とする階層的リニアメント抽出法を提案した。提案手法はマルチスペクトル情報を効果的に用いることができるため,地質特徴の反映された連続性のある線分要素が抽出可能であること,ミクセルを含む土地被覆情報はリニアメントに対応する線分要素抽出のための特徴量として有効であることなどを明らかにした(翻訳)。

  • ◆International conference proceedings【 display / non-display

  • Emotional Arousal Estimation by LSTM Model Based on Time-Series Thermal and Visible Images

    Rio Tanabe, Yoichi Kageyama, Min Zou

    ICISIP2023 ( The 10th IIAE International Conference on Intelligent Systems and Image Processing 2023 )    28 - 31   2023.09  [Refereed]

    Research paper (international conference proceedings)   Domestic Co-author

    DOI

  • Emotional Arousal Interval Estimation Method for Older Adults Playing eSports by Focusing on Cheek Saturation

    Ryota Kikuchi, Yoichi Kageyama, Hikaru Shirai, Chikako Ishizawa, Kenji Suehiro, Nobuaki Takahashi, Hiroki Saito, Takuya Kobayashi, Fumito Watanabe, Hisami Satake, Naoko Sato

    ICISIP2023 ( The 10th IIAE International Conference on Intelligent Systems and Image Processing 2023 )    32 - 36   2023.09  [Refereed]

    Research paper (international conference proceedings)   Domestic Co-author

    DOI

  • Skeleton-based Interpolation approach with Motion Synthesis for Action Recognition on Diverse Occlusions

    Hechen Yun, Yoichi Kageyama, Chikako Ishzawa, Nobuhiko Kato, Ken Igarashi, Ken Kawamoto

    ICISIP2023 ( The 10th IIAE International Conference on Intelligent Systems and Image Processing 2023 )    37 - 43   2023.09  [Refereed]

    Research paper (international conference proceedings)   Domestic Co-author

    DOI

  • Detecting Difficult Japanese Characters using Eye-tracking from Multi-row Long Text

    Yudai Ito, Chikako Ishizawa, Yoichi Kageyama

    ICISIP2023 ( The 10th IIAE International Conference on Intelligent Systems and Image Processing 2023 )    91 - 95   2023.09  [Refereed]

    Research paper (international conference proceedings)   Domestic Co-author

    DOI

  • Distinguishing Mixed Waste-Printed Circuit Boards Using Image Processing

    Kiho Ito, Hikaru Shirai, Yoichi Kageyama, Shigeru Kawamura, Kazune Sasaki, Keita Ogawa, Satoshi Nakagawara

    ICISIP2023 ( The 10th IIAE International Conference on Intelligent Systems and Image Processing 2023 )    96 - 100   2023.09  [Refereed]

    Research paper (international conference proceedings)   Domestic Co-author

    DOI

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    ◆Other【 display / non-display

  • Defect detection application of metal ceramic substrate based on transfer learning

    M. Zou, Y. Kageyama, Y. Ueda, T. Sugawara, H. Osanai

    NICOGRAPH International 2022     2022.06  [Refereed]

    Summary of the papers read (international conference)   Domestic Co-author

  • Traveling Route Derivation Method in Logistics Warehouses with A<sup>*</sup> and Genetic Algorithm

    杉原海斗, 伊藤悠大, 景山陽一, 横山洋之, 橋本修司, 佐藤紀章

    産業応用工学会全国大会講演論文集(Web) ( The Institute of Industrial Applications Engineers )  2022   60 - 61   2022

    The modern distribution industry demands improved efficiency of their logistics systems to lower prices while maintaining product quality. However, the efficiency of "picking", performing collection work in the racks in a warehouse, which accounts for a large percentage of the total cost of logistics, has not yet improved.
    In this study, we propose a traveling route derivation method that allows the warehouse layout to be set arbitrarily. Specifically, we have combined the A* and genetic algorithms to reduce the walking distance of picking workers to improve picking efficiency in a warehouse. Furthermore, we have simulated the route derivation during picking work by assuming practical work, compared the walking distances with the brute-force method, and evaluated the usefulness of the proposed method.

    DOI J-GLOBAL

  • Detection of Convallaria Keiskei Flowers using a Combination of Machine Learning and Fuzzy c-Means

    H. Shirai, Y. Kageyama, D. Nagamoto, Y. Kanamori, N. Tokunaga, T. Kojima, M. Akisawa

    The Ninth International Conference on Materials Engineering for Resources     2021.10

    Summary of the papers read (international conference)   Domestic Co-author

  • Creating Water Quality Map through Neural Network Using Remote Sensing Data and Topographical Information of Lake Hosenko, Japan

    K. Matsui, Y. Kageyama

    The Ninth International Conference on Materials Engineering for Resources     2021.10

    Summary of the papers read (international conference)   Domestic Co-author

  • Analysis of Human Action in Infrared Images at Nighttime Using CNN

    Y. Liu, K. Matsui, Y. Kageyama, H. Shirai, C. Ishizawa

    The Ninth International Conference on Materials Engineering for Resources     2021.10

    Summary of the papers read (international conference)   Domestic Co-author

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Grant-in-Aid for Scientific Research 【 display / non-display

  • Grant-in-Aid for Scientific Research(C)

    Project Year: 2022.04  -  2025.03 

  • Grant-in-Aid for Scientific Research(C)

    Project Year: 2019.04  -  2022.03 

  • Grant-in-Aid for Scientific Research(C)

    Project Year: 2010.04  -  2013.03 

  • Grant-in-Aid for Young Scientists(B)

    Project Year: 2006.04  -  2009.03 

  • Grant-in-Aid for Young Scientists(B)

    Project Year: 2004.04  -  2006.03 

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Presentations 【 display / non-display

  • Use of unmanned aerial vehicle data in near-infrared region to estimate water quality of Miharu dam reservoir, Japan

    Yoichi Kageyama, Shin Totsuka, Masato Ishikawa, Bunyu Kobori, Daisuke Nagamoto

    The 32nd Asian Conf. on Remote Sensing Sensing for Green Asia (ACRS2011)  (Daejeon Convention Center (DCC)Daejeon; South Korea)  2019.10  -  2019.10  Asian Association on Remote Sensing

  • Method for Detecting Slight Physical-Condition Disorders Based on Lip-Motion Changes while Speaking

    T. Takahashi, H. Ishibashi, Y. Kageyama, M. Ishii and M. Nishida

    The Eighth International Conference on MaterialsEngineering for Resources(ICMR2017 AKITA)  (Akita, Japan)  2017.10  -  2017.10  The Society of Materials Engineering for Resources of JAPAN

  • Person region extraction and background replacement in images for privacy protection

    S. Sato, Y. Kageyama, C. Ishizawa and M. Nishida

    The Eighth International Conference on MaterialsEngineering for Resources(ICMR2017 AKITA)  (Akita, Japan)  2017.10  -  2017.10  The Society of Materials Engineering for Resources of JAPAN

  • Emotion Discrimination of Amusement by Focusing on 3-Dimensional Data on Body Movements

    H. Zhang, T. Takahashi, Y. Kageyama and M. Nishida

    The Eighth International Conference on MaterialsEngineering for Resources(ICMR2017 AKITA)  (Akita, Japan)  2017.10  -  2017.10  The Society of Materials Engineering for Resources of JAPAN

  • Generating Learning Data for Vegetation Classification Method with Support Vector Machine

    M. Suzuki, Y. Kageyama, C. Ishizawa, M. Nishida, K. Sato, M. Kaneko, T. Nagaki

    The Eighth International Conference on MaterialsEngineering for Resources(ICMR2017 AKITA)  (Akita, Japan)  2017.10  -  2017.10  The Society of Materials Engineering for Resources of JAPAN

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Academic Activity 【 display / non-display

  • Japan SOciety for Fuzzy Theory and intelligent informatics

    2023.04
    -
    Now

  • 2020.02
    -
    2022.03

  • 2019.04
    -
    2020.03

  • Japan SOciety for Fuzzy Theory and intelligent informatics

    2009.04
    -
    2023.03

  • 2008.04
    -
    Now

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Media Report 【 display / non-display

  • 25面