Faculty Information - OKAMOTO Masaru |

（Last updated : 2025-02-28 19:09:50）

OKAMOTO Masaru

Department / Course

Hiroshima City University Graduate School Graduate School of Information Sciences Major in Intelligent Systems

Hiroshima City University Faculty of Information Sciences Department of Intelligent Systems

Job Lecturer

Business career
2006/04/30 ～ 2007/03/15	Creative Office IPC
2011/04/01 ～	Lecturer Hiroshima City University Graduate School Graduate School of Information Sciences Major in Intelligent Systems
2011/04/01 ～	Lecturer Hiroshima City University Faculty of Information Sciences Department of Intelligent Systems

Academic background
2009/03/23 Degree Acquisition	Doctor of Engineering

Present specialized field
Statistical Science, Intelligent Informatics, Educational Technology

Book and thesis
Papers	Hierarchical Clustering with Tree Structure Based on Probabilistic Neural Networks,pp.283-290 (Co-authored) 2005/03
Papers	Novel Human Interface for Game Control Using Voluntarily Generated Biological Signals Journal of Robotics and Mechatronics 18 (5),pp.626-633 (Co-authored) 2006/05
Papers	Pattern Discrimination Method with Boosting Approach using Hierarchical Neural Trees Proceedings of the Institution of Mechanical Engineers, Part I, Journal of Systems and Control Engineering 222 (7),pp.701-710 (Co-authored) 2008/10
Papers	Development of a VR-based Astronomy Learning Environment using Intuitive Manipulation and Switching of the View corresponding to User's Body Movement,pp.153-160 (Co-authored) 2010/12
Papers	A PRESENTATION METHOD FOR TACTILE SENSE FOCUSED ON SURFACE SHAPE AND ITS APPLICABILITY TO KANSEI EVALUATION Kansei Engineering International Journal,pp.1-9 (Co-authored) 2010/12
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Academic conference presentation
2004/08	Unsupervised Learning for Hierarchical Clustering Using Statistical Infomation (Proceedings of the International Symposium on Neural Networks, Part I)
2005/09	A Universal Interface for Video Game Machines using Biological Signals (Proceedings of 4th International Conference on Entertainment Computing)
2008/09	DEVELOPMENT OF COLLABORATIVE LEARNING SUPPORT SYSTEM FOCUSED ON DIFFERENT ROLES (Proceedings of the Ninth International Conference on Industrial Management (ICIM' 2008))
2008/11	Neuro-based Pattern Classification Method for EMG Signals not Belonging to Predefined Classes (Proceedings of 11th International Conference on Human and Computers (HC-2008))
2008/12	EMG Pattern Classification using Hierarchical Network based on Boosting Approach (2008 International Symposium on Intelligent Informatics, Extended Abstracts)
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Belonging society
2008	Japan Society for Fuzzy Theory and Intelligent Informatics
2008	Japanese Society for Information and Systems in Education