Researcher Database | | Naofumi Wada |

（Last updated : 2026-07-30 08:41:19）

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Naofumi Wada

Department / Course Hokkaido University of Science

Job Professor

Academic background
2013/04～2015/09	Doctoral Program (2nd Semester) Graduate School, Division of Information Science Hokkaido University Finished
2002/04～2004/03	Doctoral Program (1st Semester) Graduate School, Division of Engineering Hokkaido University Finished
1998/04～2002/03	Faculty of Engineering Hokkaido University Graduated

Present specialized field
Perceptual information processing, Human interface and interaction

Book and thesis
Papers	Reproducing and Validating Performance Simulating Left Unilateral Spatial Neglect in a Line Bisection Task for Healthy Participants Using Immersive VR,pp.239-249 (Co-authored) 2025/09
Papers	HALF: Histogram of Angles in Linked Features for 3D Point Cloud Data Segmentation of Plants for Robust Sensing Sensors 25 (12) (Co-authored) 2025/06
Papers	Validity and Reliability of OpenPose-Based Motion Analysis in Measuring Knee Valgus during Drop Vertical Jump Test Journal of Sports Science & Medicine 23,pp.515-525 (Co-authored) 2024/09
Papers	Crack Detection in Borehole-wall Panoramic Images using Deep Learning,pp.658-664 (Co-authored) 2024/07
Papers	Estimation of Vertical Ground Reaction Force during Single-leg Landing Using Two-dimensional Video Images and Pose Estimation Artificial Intelligence Physical Therapy Research 27 (1),pp.35-41 (Co-authored) 2024/02
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Academic conference presentation
2026/07/07	Four-Stage Classification and Severity Estimation of Osteochondritis Dissecans of the Humeral Capitellum from Plain Radiographs
2025/09/28	Faculty and Staff Education Program on Generative AI (2025 7th International Workshop on Artificial Intelligence and Education (WAIE2025))
2023/08/30	Crack Detection in Borehole-wall Panoramic Images using Deep Learning
2023/08/01	Validity of Artificial Intelligence-based Motion Analysis System ～ AI Analysis VS. Human Analysis (XXIX Congress of International/Japanese Society of Biomechanics (ISB/JSB 2023))
2023/03	An Analysis of Factors that Cause Each User to Bookmark Posts in order to Forecast Buzz on Social Network
Display All（12）