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Affiliation |
Faculty of Informatics and Data Science Department of Informatics and Data Science |
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Mail Address |
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SHIRAI Hikaru
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Graduating School 【 display / non-display 】
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2007.04-2011.03
Akita University Faculty of Engineering and Resource Science Graduated
Graduate School 【 display / non-display 】
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2014.04-2017.03
Akita University Graduate School of Engineering and Resource Science Doctor's Degree Program Completed
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2011.04-2013.03
Akita University Graduate School of Engineering and Resource Science Master's Degree Program Completed
Campus Career 【 display / non-display 】
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2025.04-Now
Akita University Faculty of Informatics and Data Science Department of Informatics and Data Science Lecturer
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2023.04-2025.03
Akita University Lecturer
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2023.04-2025.03
Akita University Graduate School of Engineering Science Department of Mathematical Science and Electrical-Electronic-Computer Engineering Human-Centered Computing Course Lecturer
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2020.10-2023.03
Akita University Graduate School of Engineering Science Department of Mathematical Science and Electrical-Electronic-Computer Engineering Human-Centered Computing Course Assistant Professor
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 2024.12 [Refereed]
Research paper (journal) Domestic Co-author
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Improving a Faster R-CNN Model for Vehicle Detection and Human Action Recognition at Night via Infrared Thermal Imaging using Transfer Learning, International Journal of Innovative Computing
Y. Liu, K. Matsui, Y. Kageyama, H. Shirai, C. Ishizawa
International Journal of Innovative Computing, Information and Control (IJICIC) 2024.12 [Refereed]
Research paper (journal) Domestic Co-author
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A CNN-based method for human action analysis using nighttime infrared images
Y. Liu, K. Matsui, Y. Kageyama, H. Shirai, C. Ishizawa
International Journal of Innovative Computing, Information and Control (IJICIC) ( International Journal of Innovative Computing, Information and Control (IJICIC) ) 19 ( 6 ) 1861 - 1875 2023.12 [Refereed]
Research paper (journal) Domestic Co-author
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Estimating water quality through neural networks using Terra ASTER data, water depth, and temperature of Lake Hachiroko, Japan
K. Matsui, H. Shirai, Y. Kageyama, H. Yokoyama, M. Asano
Environmental Modelling & Software (Elsevier) 159 ( 105584 ) 2023.01 [Refereed]
Research paper (journal) Domestic Co-author
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Discrimination of Animals in Japan by Machine Learning Using Footprint Images
N. Sugawara, Y. Kageyama, H. Shirai, D. Nagamoto, Y. Yamaguchi
ICIC Express Letters, Part B: Applications ( ICIC Express Letters, Part B: Applications ) 13 ( 9 ) 2022.09 [Refereed]
Research paper (journal) Domestic Co-author
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Estimation of water quality status of Lake Hachiroko, Japan, using remote sensing data and water depth and temperature
H. Shirai, N. Thanh Tuan, Y. Kageyama, M. Asano, S. Ito
2024 Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems (SCIS&ISIS2024) 2024.11 [Refereed]
Research paper (international conference proceedings) Domestic Co-author
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Method for Classifying Emotions in Older Adults Playing eSports
R. Kikuchi, Y. Kageyama, H. Shirai, C. Ishizawa, K. Suehiro, N. Takahashi, H. Saito, T. Kobayashi, F. Watanabe, H. Satake, N. Sato
2024 Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems (SCIS&ISIS2024) 2024.11 [Refereed]
Research paper (international conference proceedings) Domestic Co-author
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Image Similarity Judgment Method for Mixed Waste-Printed Circuit Boards
H. Shirai, K. Ito, Y. Kageyama, S. Kawamura, K. Sasaki, K. Ogawa, S. Nakagawara
The 11th IIAE International Conference on Intelligent Systems and Image Processing 2024 (ICISIP2024) 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
R. Kikuchi, Y. Kageyama, H. Shirai, C. Ishizawa, K. Suehiro, N. Takahashi, H. Saito, T. Kobayashi, F. Watanabe, H. Satake, N. Sato
The 11th IIAE International Conference on Intelligent Systems and Image Processing 2024 (ICISIP2024) 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
Y. Liu, Y. Kageyama, H. Shirai, C. Ishizawa
The 11th IIAE International Conference on Intelligent Systems and Image Processing 2024 (ICISIP2024) 2024.09 [Refereed]
Research paper (international conference proceedings) Domestic Co-author
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Improving a Faster R-CNN Model for Vehicle Detection and Human Action Recognition at Night via Infrared Thermal Imaging using Transfer Learning
Liu Yaru, Matsui Kai, Kageyama Yoichi, Shirai Hikari, Ishizawa Chikako
Proceedings of IIAE Annual Conference ( The Institute of Industrial Applications Engineers ) 2023 ( 0 ) 21 - 22 2023.09
Summary of the papers read (national conference and other science council) Domestic Co-author
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Method for Distinguishing Mixed Waste-Printed Circuit Board Using Image Processing
Ito Kiho, Shirai Hikaru, Kageyama Yoichi, Kawamura Shigeru, Sasaki Kazune, Ogawa Keita, Nakagawara Satoshi
Proceedings of IIAE Annual Conference ( The Institute of Industrial Applications Engineers ) 2023 ( 0 ) 57 - 58 2023.09
Domestic Co-author
Waste-printed circuit boards (WPCBs) are recycled in nonferrous metal smelters to recover valuable metals. Workers visually determine the similarity between images of previously handled WPCBs and images of substrates to be measured for their valuable metal content and classify the substrates to so that appropriate processing methods can be selected. In particular, groups of substrates of multiple types (mixed WPCBs) are more difficult for workers to process. Therefore, in this study, we propose a method to evaluate different types of substrates using segmented images of mixed WPCBs. Our results show that the proposed approach was able to classify substrates appearing in segmented images well.
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Emotional Arousal Intervals Estimation Method for Older Adults Playing eSports by Focusing on Cheek Saturation
Kikuchi Ryota, Kageyama Yoichi, Shirai Hikaru, Ishizawa Chikako, Suehiro Kenji, Takahashi Nobuaki, Saito Hiroki, Kobayashi Takuya, Watanabe Fumito, Satake Hisami, Sato Naoko
Proceedings of IIAE Annual Conference ( The Institute of Industrial Applications Engineers ) 2023 ( 0 ) 59 - 60 2023.09
Domestic Co-author
With the recent emergence of a super-aging society, extending the healthy life expectancy of older adults has become increasingly important. Dementia has been reported to hinder the extension of healthy life expectancy. Electronic sports (eSports) have recently attracted wide attention to prevent dementia. People experience various emotions while playing eSports. The quantification of these emotions indicates the extent to which they enjoy playing eSports. This indicator can be used to evaluate eSports activities. We propose a method to estimate when emotions occur while playing eSports with the aim of creating a quantitative index to determine people's emotions while playing eSports. Consequently, we determined the possibility of estimating emotional arousal intervals by examining the changes in the saturation of the cheeks using machine learning.
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八郎湖を対象としたUAVデータのバンド比を用いた擬似的な分解能向上と水質状況解析
松井 解, 山田 奈津美, 白井 光, 景山 陽一, 横山 洋之
2020年度電気関係学会東北支部連合大会 2020.08
Summary of the papers read (national conference and other science council) Domestic Co-author
◆Original paper【 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 Early-Career Scientists
Project Year： 2021.04 - 2023.03
Presentations 【 display / non-display 】
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Estimation of water quality status of Lake Hachiroko, Japan, using remote sensing data and water depth and temperature
H. Shirai, N. Thanh Tuan, Y. Kageyama, M. Asano, S. Ito
2024 Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems (SCIS&ISIS2024) 2024.11 - 2024.11
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Image Similarity Judgment Method for Mixed Waste-Printed Circuit Boards
H. Shirai, K. Ito, Y. Kageyama, S. Kawamura, K. Sasaki, K. Ogawa, S. Nakagawara
The 11th IIAE International Conference on Intelligent Systems and Image Processing 2024 (ICISIP2024) 2024.09 - 2024.09
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Study on Image Similarity Judgment Method by Grouping Processing for Waste‐Printed Circuit Boards
H. Shirai, R. Ohishi, Y. Kageyama, S. Kawamura, K. Sasaki, K. Ogawa, S. Nakagawara
The 10th IEEJ International Workshop on Sensing, Actuation, Motion Control, and Optimization (SAMCON2024) 2024.03 - 2024.03
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Estimating Colors Focusing on Fabric Features of Different Materials
H. Shirai, N. Watanabe, Y. Kageyama, I. Ohwada, H. Sangawa
2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS2022) 2022.11 - 2022.11
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Detection of Convallaria Keiskei Flower by Combining Convolutional Neural Network and Fuzzy C-means Using Unmanned Aerial Vehicle-based Data
H. Shirai, Y. Kageyama, D. Nagamoto, M. Noguchi, A. Narita, Y. Nishimura, T. Kojima, M. Akisawa
The 9th IIAE International Conference on Intelligent Systems and Image Processing 2022 (ICISIP2022) 2022.09 - 2022.09