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Affiliation |
Office for Establishment of New Faculty |
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Mail Address |
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YUN HECHEN
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Research Interests 【 display / non-display 】
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Human Sensing
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Image Processing
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Machine Learning
Graduating School 【 display / non-display 】
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2013.09-2017.06
Hangzhou Normal University School of Information Science and Engineering Graduated
Graduate School 【 display / non-display 】
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2021.10-2024.09
Akita University Graduate School, Division of Integrated Science and Engineering Doctor's Degree Program Completed
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2019.10-2021.09
Akita University Graduate School, Division of Science and Engineering Master's Degree Program Completed
Degree 【 display / non-display 】
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Akita University - Doctor (Engineering)
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Akita University - Master (Engineering)
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Hangzhou Normal University (China) - bachelor (Engineering)
Campus Career 【 display / non-display 】
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2024.10-Now
Akita University Office for Establishment of New Faculty Assistant Professor
Research Areas 【 display / non-display 】
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Others / Others / 知能情報学，コンピュータビジョン，画像処理，機械学習，パターン認識
Research Achievements 【 display / non-display 】
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A Basic Study of Skeleton Interpolation Approach for Action Recognition using Motion Synthesis
Yun Hechen, Kageyama Yoichi, Ishizawa Chikako, Kato Nobuhiko, Igarashi Ken, Kawamoto Ken
Proceedings of IIAE Annual Conference ( The Institute of Industrial Applications Engineers ) 2023 ( 0 ) 53 - 54 2023
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A Study of Features for Action-Recognition Approach in Human Body with Occlusion
Yun Hechen, Nakamura Etsuro, Kageyama Yoichi, Ishizawa Chikako, Kato Nobuhiko, Igarashi Ken, Kawamoto Ken
Proceedings of the Fuzzy System Symposium ( Japan Society for Fuzzy Theory and Intelligent Informatics ) 37 ( 0 ) 497 - 498 2021
<p>Recently, Japan's worker is keeping aging. Specifically, in construction site, it is necessary to have a safety-management system for older workers. Moreover, the system that identifies and collects information of behavior and physical condition from workers, including but not limited to older workers, will contribute to improving the efficiency and safety of work site. Currently, our research group discussed an action-recognition approach using skeleton data as a key part of the system, which for the purpose of developing work-management system that can recognize the action from workers. However, a situation usually happened that when workers moving and carrying in work size, some parts of body are shielded or blurred by objects. It became difficult to extract whole skeleton data and generate low action-recognition accuracy due to the losing of body parts. In this paper, we discussed the feasibility of features for action-recognition approach in human body with occlusion situation.</p>
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Basic Study on Development of Action Recognition Technology Based on Human-Skeleton Data
Yun Hechen, Nakamura Etsuro, Kageyama Yoichi, Ishizawa Chikako, Kato Nobuhiko, Igarashi Ken, Suzuki Mamoru
Proceedings of the Japan Joint Automatic Control Conference ( The Japan Joint Automatic Control Conference ) 63 ( 0 ) 553 - 555 2020