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Affiliation |
Graduate School of Engineering Science Department of Mathematical Science and Electrical-Electronic-Computer Engineering Human-Centered Computing Course |
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Laboratory Address |
1-1 Tegata Gakuen-machi, Akita-shi , Akita |
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Homepage URL |
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Mail Address |
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KAGEYAMA Yoichi
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Research Interests 【 display / non-display 】
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ヒューマンセンシング
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リモートセンシング
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画像情報処理
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機械学習
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視覚認知
Graduating School 【 display / non-display 】
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1991.04-1995.03
Akita University Faculty of Mining Graduated
Graduate School 【 display / non-display 】
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1995.04-1997.03
Akita University Graduate School, Division of Mining Master's Course Completed
Campus Career 【 display / non-display 】
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2016.04-Now
Akita University Graduate School of Engineering Science Department of Mathematical Science and Electrical-Electronic-Computer Engineering Human-Centered Computing Course Professor
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2013.07-2016.03
Akita University Graduate School of Engineering and Resource Science Department of Computer Science and Engineering Professor
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2010.04-2013.06
Akita University Graduate School of Engineering and Resource Science Department of Computer Science and Engineering Associate Professor
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2008.04-2010.03
Akita University Associate Professor
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2004.03-2007.03
Akita University Department of Computer Science and Engineering Associate Professor
Academic Society Affiliations 【 display / non-display 】
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2009.01-Now
Japan
Japan SOciety for Fuzzy Theory and intelligent informatics
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2008.11-Now
Japan
the Illuminating Engineering Institute of Japan
Research Areas 【 display / non-display 】
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Informatics / Perceptual information processing
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Informatics / Human interface and interaction
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Informatics / Kansei informatics
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Manufacturing Technology (Mechanical Engineering, Electrical and Electronic Engineering, Chemical Engineering) / Control and system engineering
Research Achievements 【 display / non-display 】
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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 2024.09 [Refereed]
Research paper (journal) Domestic Co-author
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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 ( IEEJ ) 13 ( 4 ) 379 - 388 2024.06 [Refereed]
Research paper (journal) Domestic Co-author
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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
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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
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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
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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
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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
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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
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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
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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）。
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Method for Distinguishing Identical and Non-Identical Pills in Unit-Dose Packages
Shuei Tatsumi, Min Zou, Katsuya Sasaki, Hideaki Kagaya, Nobuhiro Fujiyama, Yoichi Kageyama
Proceedings of the 11th IIAE International Conference on Intelligent Systems and Image Processing 2024 236 - 241 2024.09 [Refereed]
Research paper (international conference proceedings) Domestic Co-author
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Vison Transformer-based Tinea Unguium Classification Approach Using Foot Images
Kakeru Miura, Zou Min, Takehiro Sato, Hironori Waki, Yoichi Kageyama
Proceedings of the 11th IIAE International Conference on Intelligent Systems and Image Processing 2024 230 - 235 2024.09 [Refereed]
Research paper (international conference proceedings) Domestic Co-author
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Investigating Defect Detection Method for Photomasks
Hibiki Shimosako, Min Zou, Yoichi Kageyama, Takahiro Yamada, Shuichi Mafune, Tomohiko Shibata
Proceedings of the 11th IIAE International Conference on Intelligent Systems and Image Processing 2024 226 - 229 2024.09 [Refereed]
Research paper (international conference proceedings) Domestic Co-author
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Improving Vehicle and Human Action Detection and Distance Estimation Using Thermal Infrared Images with YOLO at Night
Yaru Liu, Yoichi Kageyama, Hikaru Shirai, Chikako Ishizawa
Proceedings of the 11th IIAE International Conference on Intelligent Systems and Image Processing 2024 222 - 225 2024.09 [Refereed]
Research paper (international conference proceedings) Domestic Co-author
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Emotion-arousal Interval Estimation Based on Cheek-saturation Changes in Older Adults Playing eSports
Ryota Kikuchi, Yoichi Kageyama, Hikaru Shirai, Chikako Ishizawa, Kenji Suehiro, Nobuaki Takahashi, Hiroki Saito, Takuya Kobayashi, Fumito Watanabe, Hisami Satake, Naoko Sato
Proceedings of the 11th IIAE International Conference on Intelligent Systems and Image Processing 2024 217 - 221 2024.09 [Refereed]
Research paper (international conference proceedings) Domestic Co-author
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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
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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. -
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
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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
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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
◆Original paper【 display / non-display 】
◆Introduction and explanation【 display / non-display 】
◆International conference proceedings【 display / non-display 】
◆Other【 display / non-display 】
Grant-in-Aid for Scientific Research 【 display / non-display 】
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Grant-in-Aid for Scientific Research(C)
Project Year： 2022.04 - 2025.03
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Grant-in-Aid for Scientific Research(C)
Project Year： 2019.04 - 2022.03
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Grant-in-Aid for Scientific Research(C)
Project Year： 2010.04 - 2013.03
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Grant-in-Aid for Young Scientists(B)
Project Year： 2006.04 - 2009.03
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Grant-in-Aid for Young Scientists(B)
Project Year： 2004.04 - 2006.03
Presentations 【 display / non-display 】
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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
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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
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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
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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
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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
Academic Activity 【 display / non-display 】
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Japan SOciety for Fuzzy Theory and intelligent informatics
2023.04-Now -
2020.02-2022.03
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2019.04-2020.03
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Japan SOciety for Fuzzy Theory and intelligent informatics
2009.04-2023.03 -
2008.04-Now