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MURAKAMI Makoto

Faculty
Department of Information Sciences and Arts
Research Institute of Industrial Technology
Course of Information Sciences and Arts
PositionAssociate Professor
Mailmurakami_m[at]toyo.jp In case of sending E-mail, please alternate [at] to @
HomepageURL
Birthday
Last Updated :2017/05/25

Researcher Profile and Settings

Degree

  • Doctor (Information and Computer Science), Waseda University

Association Memberships

  • ACM
  • IEEE
  • THE JAPANESE SOCIETY FOR ARTIFICIAL INTELLIGENCE
  • THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS
  • INFORMATION PROCESSING SOCIETY OF JAPAN

Academic & Professional Experience

  •   2009 04  - 現在, Toyo University, Faculty of Information Sciences and Arts, Associate Professor
  •   2007 04  - 2009 03 , Toyo University, Faculty of Engineering, Associate Professor
  •   2005 04  - 2007 03 , Toyo University, Faculty of Engineering, Assistant Professor
  •   2002 04  - 2005 03 , Toyo University, Faculty of Engineering, Lecturer
  •   2000 04  - 2002 03 , Waseda University, School of Science and Engineering, Research Associate

Research Activities

Research Areas

  • Informatics, Human interface and interaction, Augmented Reality
  • Informatics, Intelligent informatics, Human-Agent Interaction

Research Interests

    Human-Agent Interaction, Human Interface, Augmented Reality, Multimodal Interface, Human-Computer Interaction, Pattern Recognition, Image Processing, Speech Processing, Computer Vision, Human Face Recognition

Published Papers

Misc

  • AR WoZシステムを用いた対話に適したユーザとARキャラクタの位置関係の分析,   2013 01 , 査読有り
  • 拡張現実を用いた遠隔共食コミュニケーションシステムの構築,   2013 01 , 査読有り
  • AR WoZシステムの構築と対話に適したユーザとARキャラクタの位置関係の分析,   2012 , 査読有り
  • 能動的情報収集対話システムを目的とした対話終了判断モデルの構築,   2011 03 , 査読有り, 我々はユーザと能動的にコミュニケーションを取り,感想情報のような再利用する価値のある情報を言語情報として所得するシステムの実現を目指している.このようなシステムにおいては,システムがしつこく情報収集を続けてしまうと次回からの情報収集に支障をきたす恐れがあるため,ユーザが対話したくないことをシステムが判断する必要がある.そこで本研究では,音声情報を用いて対話終了を判断するためのモデル構築を行った.
  • Accurate Face Extraction and the Pose Detection using Subspace Method and Genetic Algorithm,   2011 , 査読有り
  • J-014 Effective feature analysis to construct decision model for a system to end communicating with a human, OTSUKA Naoki, MURAKAMI Makoto, YAMAGIWA Motoi, UEHARA Minoru, 9, (3) 497 - 498,   2010 08 20
  • 能動的情報収集を目的とした対話終了判断に有効な特徴量の分析,   2010 08 , 査読有り
  • 能動的情報収集対話における対話開始判断モデルの構築,   2010 03 , 査読有り
  • Activation of dialogue for active information-gathering dialogue system, 58,   2010 02 12
  • 能動的情報収集対話システム構築を目的とした対話の活性化,   2010 02 , 査読有り
  • Reconstruction of Ultrasonic Deterioration Image Using Constructive Solid Geometry and Strongly Typed Genetic Programming, 51, (2) 555 - 563,   2010 02
  • Construction of Decision Model for a System to Start Communicating with a Human Using Hidden Markov Model,   2010 , 査読有り, The purpose of this paper is to develop a robot that actively communicates with a human, and extracts information from the human mind that is rarely expressed as verbal information explicitly. The spoken dialogue system for information collection must independently decide whether it may or may not start communicating with a human. In this paper, we assume that the system starts to communicate with a human sitting at a desk, analyze the relationship between the human's behavioral pattern and the decisions made by the other subjects, i.e., whether or not to communicate with the human, and construct the decision model for the system to start communicating with the human using hidden Markov model.
  • 再利用可能情報収集のための構造化データベースの提案,   2009 03 , 査読有り
  • Decision Model for a Robot to Start Communicating with a Human,   2009 , 査読有り, The purpose of this paper is to develop a robot that actively communicates with a human, and explicitly extracts information from the human mind that is rarely expressed as verbal information. The spoken dialogue system for information collection must independently decide whether it may or may not start communicating with a human. In this paper, we assume that the system begins to communicate with a human sitting and working at a desk, analyze the relationship between his behavioral pattern and the decisions made by the other humans, i.e., whether or not to communicate with the former, and construct the decision model for the system to start communicating with the human.
  • Decision Model for a System to Start Communicating with a Human Using HMM,   2009 , 査読有り, The purpose of this paper is to develop a robot that actively communicates with a human, and explicitly extracts information from the human mind that is rarely expressed as verbal information. The spoken dialogue system for information collection must independently decide whether it may or may not start communicating with a human. In this paper, we assume that the system begins to communicate with a human sitting and working at a desk, analyze the relationship between his behavioral pattern and the decisions made by the other humans, i.e., whether or not to communicate with the former, and construct the decision model for the system to start communicating with the human using hidden Markov model.
  • Human Motion and Speech Analysis to Construct Decision Model for a Robot to End Communicating with a Human,   2009 , 査読有り
  • Stereo Vision-based Detection and Tracking of Humans Using Reeb Graph,   2009 , 査読有り
  • Reconstruction for two dimentional artificially degraded image using constructive solid geometry and genetic programming, Industrial technology, (31) 62 - 65,   2009
  • The Evaluations of Meta Grid using WebDisk, Tanaka Kenichi, Uehara Minoru, Murakami Makoto, Yamagiwa Motoi, IPSJ SIG Notes, 2008, (117) 79 - 84,   2008 11 20 , Recently, according to increases hardware performance, the resources of each PC are enlarged. But, those resources are not used entirely. There are many free or idle parts in those resources. We are studying on controlling full grid on Windows PC by using Virtual Machine. This study aims to utilize idle resources of Windows PC using Linux Grid on Virtual Machine (Virtual Grid). And we have developed Meta Grid that controls Virtual Grid. In this paper, we propose a method of using Web Storage for Meta Grid. IN this method, Virtual Grid can use massive Web Storage through NBD. As this result,...
  • ロボットを用いた情報収集対話における対話終了判断方法の検討,   2008 03 , 査読有り
  • ロボットを用いた情報収集対話における対話継続方法の検討,   2008 03 , 査読有り
  • ロボットから人に話しかける判断モデルの構築,   2007 08 , 査読有り
  • ロボットを用いたインタビュー形式の対話における非言語情報の分析,   2007 03 , 査読有り
  • 人物の姿勢推定を目的とした距離画像と3次元モデルとのフィッティング,   2007 03 , 査読有り
  • K_014 Human Motion Analysis in Different Concentration Levels for User-oriented e-learning System, Gomi Mariko, Murakami Makoto, Yoneyama Masahide, 5, (3) 401 - 402,   2006 08 21
  • ディジタルアクタシステム実現のための感情表出モデルの構築,   2006 08 , 査読有り
  • デジタルカメラワークによるサッカー映像生成,   2006 08 , 査読有り
  • ロボットの状況判断モデル構築のための人物動作分析,   2006 08 , 査読有り
  • 学習者の集中状態に応じたe-learningシステム構築のための動作分析,   2006 08 , 査読有り
  • D-15-33 Human motion analysis in different concentration levels for user-oriented e-learning system, Gomi Mariko, Murakami Makoto, Yoneyama Masahide, Proceedings of the IEICE General Conference, 2006,   2006 03 08
  • ユーザの集中状態に応じた仮想講義型e-learningシステム構築のための動作分析,   2006 03 , 査読有り
  • Inverse Kinematicsを用いた教師役CGキャラクタの動作制御,   2006 , 査読有り
  • D-12-73 Human Face Recognition using Labeled Graph Matching, Maruyama Sachiko, Rin Chiei, Murakami Makoto, Yoneyama Masahide, Proceedings of the IEICE General Conference, 2005,   2005 03 07
  • Construction of the Motion Representation and Control Model for Animated Characters' Walking Motion,   2005 , 査読有り
  • サッカー映像における近景切替の要因分析,   2004 08 , 査読有り
  • モーションキャプチャデータを用いた多様な歩行動作制御手法の検討,   2004 08 , 査読有り
  • Reconstruction from Ultrasonic Image using Genetic Algorithm, AOKI Koushirou, YAMAGIWA Motoi, MURAKAMI Makoto, YONEYAMA Masahide, 2004, (1) 1083 - 1084,   2004 03 17
  • Optimization of Control Parameter for Extraction of Human Face based on Extended Labeled Graph Matching, ONO Yukimasa, MARUYAMA Sachiko, MURAKAMI Makoto, YONEYAMA Masahide, 103, (453) 19 - 24,   2003 11 21
  • Optimization of Control Parameter for Extraction of Human Face based on Extended Labeled Graph Matching, ONO Yukimasa, MARUYAMA Sachiko, MURAKAMI Makoto, YONEYAMA Masahide, Technical report of IEICE. HIP, 103, (455) 19 - 24,   2003 11 14 , W e applied Labeled Graph Matching used for object recognition of still picture to the moving image. It became possible that the process sequentially dealt with until now by this technique was integratedly processed. However, it is necessary that the recognition accuracy and processing time consider the control method, since it is affected in feature quantity control parameter. In this paper, we carried out the analysis on the parametric control method for optimizing the extraction accuracy by applying the proposal technique to the problem of the head region extraction.
  • Optimization of Control Parameter for Extraction of Human Face based on Extended Labeled Graph Matching, ONO Yukimasa, MARUYAMA Sachiko, MURAKAMI Makoto, YONEYAMA Masahide, Technical report of IEICE. PRMU, 103, (453) 19 - 24,   2003 11 14 , W e applied Labeled Graph Matching used for object recognition of still picture to the moving image. It became possible that the process sequentially dealt with until now by this technique was integratedly processed. However, it is necessary that the recognition accuracy and processing time consider the control method, since it is affected in feature quantity control parameter. In this paper, we carried out the analysis on the parametric control method for optimizing the extraction accuracy by applying the proposal technique to the problem of the head region extraction.
  • Extraction of Characteristic Features from Letter Images for Personal Font Creation, Tamaru Masazumi, Murakami Makoto, Sugimoto Futoshi, Yoneyama Masahide, Proceedings of the Society Conference of IEICE, 2003,   2003 09 10
  • Reconstruction of Ultrasonic Image using CSG by Genetic Algorithm, Aoki Koushirou, Yamagiwa Motoi, Murakami Makoto, Yoneyama Masahide, Proceedings of the Society Conference of IEICE, 2003,   2003 09 10
  • モーションキャプチャデータを用いた歩行動作の分析と制御,   2003 , 査読有り
  • ラベルグラフマッチングを用いた顔画像による個人認証,   2003 , 査読有り
  • 基本動作制御モデル構築のための歩行動作の分析・生成,   2003 , 査読有り
  • Accurate Human Face Extraction using Genetic Algorithm and Subspace Method,   2002 , 査読有り
  • パラメトリック固有空間法を用いた顔方向認識に最適な特徴抽出の検討,   1999 03 , 査読有り
  • 部分有空間法を用いた顔の位置と方向推定,   1998 , 査読有り
  • Accurate Human Face Extraction using Genetic Algorithm and Subspace Method , Frontiers in Artificial Intelligence and Applications Vol. 87 SOFT COMPUTING SYSTEMS IOS Press, pp. 745-754,   2002
  • Accurate Face Extraction and the Pose Detection using Subspace Method and Genetic Algorithm, SOCO2001, CD-ROM,   2001
  • Human Face Extraction using Genetic Algorithm with Similarity Subspace Method as a Fitness Value, Proc. of the 2nd ISPA, pp. 144-148,   2001

Conference Activities & Talks

  • Gesture recognition for a cooking assistant system, Yuma Hijioka, Makoto Murakami, Kimoto Tadahiko, IEEE TENCON 2015,   2015 11 , IEEE, Our objective to develop a system that recognizes cooking gestures to display cooking information in real time. Hence, we construct models for cooking gesture recognition. Our approach extracts joint positions using Kinect and constructs a model using hidden Markov models (HMMs). In this study, we use OpenNI/NiTE to extract the features, and the Hidden Markov Models Toolkit (HTK) to construct HMMs. When we select the torso and elbows as the combination of joint positions, the structured models have a 90.6% gesture recognition rate.
  • Investigating Appropriate Spatial Relationship between User and AR Character Agent for Communication Using AR WoZ System, Reina Aramaki, Makoto Murakami, 15th ACM International Conference on Multimodal Interaction,   2013 12 , ACM, We aim to construct a system that can communicate with humans in everyday life environments, such as in their homes and on the street. To achieve this, we propose using a human--agent communication system that utilizes augmented reality (AR) technology, in which the AR character agent has no physical body, thus facilitating its safe performance in real environments. As a first step towards implementing the motion control component of the AR agent, we focus on investigating the appropriate spatial relationships between the user and the AR agent in experimental settings. Consequently, in this paper, we report on the construction of an AR agent Wizard of Oz (WoZ) system, in which the agent is operated by a hidden operator via remote control, to acquire human--agent interaction data through experimental trials. The interaction data are collected from a simple experimental setting in which a user sits at a desk and communicates with the AR agent standing on the desk. We also investigate the spatial relationship appropriate for communication between the user and the AR agent, and propose a position control strategy for the AR agent.
  • Investigating Appropriate Relative Position of User and AR Character Agent for Communication Using AR WoZ System, Reina Aramaki, Makoto Murakami, The 1st International Conference on Human-Agent Interaction,   2013 08 , The aim of this study is to construct a system that can communicate with humans in their daily life environments, such as their home or a pedestrian street. We propose a human-agent communication system using augmented reality (AR) technology, in which the AR character agent has no physical body, thus facilitating its safe performance in the real environment of daily life. As the first step in implementing the motion control component of the AR agent, we focused on investigating the appropriate spatial relationship between the user and the AR agent using some experimental settings. We constructed an AR agent Wizard of Oz (WoZ) system, in which the agent is operated by a hidden operator using remote control, to acquire human--agent interaction data through experimental trials. We collected the interaction data in a simple experimental setting: the user sits at a desk and communicates with the AR agent standing in various positions on the desk. We investigated the spatial relationship between the user and the AR agent appropriate for communication. The results show that many subjects felt that it was appropriate to talk with the AR agent when it was straight in front of and approximately 70-93 cm away from them.
  • Accurate Extraction of Human Face Area using Subspace Method and Genetic Algorithm, Makoto Murakami, Masahide Yoneyama, Katsuhiko Shirai, IEEE International Conference on Multimedia and Expo,   2000 08 , IEEE, The human face has important information, such as eyes, expression and facial pose. To construct the interface using visual information, recognition is indispensable. The first point to be considered is the accurate extraction method of human faces from images with many kinds of background. In this paper, we propose an extraction method for human faces using the subspace method and genetic algorithm, then report the experimental results to be obtained
  • A Study of Feature Extraction for Facial Pose Detection using Parametric Eigenspace Method, Makoto Murakami, Natsuko Ono, Masahide Yoneyama, Katsuhiko Shirai, International Workshop on Systems, Signals and Image Processing,   1999 06 , Human face has important information, such as eyes and facial pose on an equality with facial expression. To construct the interface using visual information, the recognition of them is indispensable. In this paper, we propose the recognition method for the facial pose using parametric eigenspace method that is one of methods to recognize 3D object from visual appearance. To recognize the facial pose of anyone with few sample data, we must improve the recognition rate for the unlearned person. As the experimental result, it was obtained that the recognition rate for the unlearned person was improved by using the features being suppressed individuality.

Works

  • Study on Multimodal Emotional Expression Model to make Digital Animation

Research Grants & Projects

  • Study on Human Face Recognition, The Other Research Programs