Toru Kumagai, Ph.D.
Mobility Service Research Team
Digital Architechture Research Institute
National Institute of Advanced Industrial Science and Technology (AIST)
1-1-1, Umezono, Tsukuba, Ibaraki 305-8568, Japan
E-mail: kumagai.toru @ aist.go.jp
Toru KUMAGAI joined Industrial Products Research Institute in 1991. He had been a researcher of NIBH since 1993. He was a planning officer of AIST planning office in 2001 and a senior research scientist of Institute for Human Science and biomedical Engineering of AIST since 2002 to 2010. He had been a senior research scientist of Human Technology Research Institute of AIST since 2010. He has been a senior researcher of Digital Architechture Research Institute of AIST since 2022. His primary areas of interest are modeling of human behavior. He received his BE and ME in Mechanical Control Engineering from Univ. of Electronic Communications in 1989 and 1991. He received his Ph.D. in Systems and Information Engineering from Hokkaido University in 1997.
Research Topics
Modeling of driving behavior
Toru Kumagai, Akihiko Takahashi, Influence of Repeated Experience on Unsignalized Intersection Crossing Behavior of Drivers without Right-of-way, Communications in Computer and Information Science: HCI International 2013, Proceedings, Part II, 374, pp.323-326 (2013). poster
Akihiko Takahashi, Toru Kumagai, Shin Tanaka, Edgar Yoshio Morales Teraoka, Tsutomu Mochida, Tetsuo Kurahashi, Transactions of Society of Automotive Engineers of Japan, 44-6, pp.1465-1470 (2013).
Toru Kumagai, Motoyuki Akamatsu, Crash Rate Analysis on Expressways Using Poisson Mixture Models -- for Mobile Device-based Situational Safety Information Services, Journal of Mobile Interactions, (accepted, in Japanese).
Toru Kumagai, Motoyuki Akamatsu, Prediction of human driving behavior using dynamic Bayesian networks, IEICE Trans. Inf. & Syst. , E89D-2, pp.857-860 (2006).sumarry, pdf
Toru Kumagai, Motoyuki Akamatsu, Human Driving Behavior Prediction using Dynamic Bayesian Networks, Proceedings of the 2005 JSAE Annual Congress, Yokohama, Japan, 64-05, pp.13-18 (2005). abstract
Toru Kumagai, Motoyuki Akamatsu, Modeling and prediction of driving behavior, The second International Symposium on Measurement, Analysis and Modeling of Human Functions , Genoa, Italy, pp.357-361 (2004). abstract
Toru Kumagai, Yasuo Sakaguchi, Masayuki Okuwa and Motoyuki Akamatsu, Prediction of Driving Behavior through Probabilistic Inference, Proceedings of the Eighth International Conference on Engineering Applications of Neural Networks (EANN), Malaga, Spain, pp.117-123 (2003). pdf
Development of instruction system for endoscopic surgery
Juli Yamashita, Kazunori Yokoyama, Toru Kumagai, A Manual Skills Traiing System for Endoscopic Paranasal Sinus Surgery, Journal of Japan Society for Design Engineering, 44, pp.15-20 (2009) (in Japanese)
Toru Kumagai, Juli Yamashita, Osamu Morikawa, Kazunori Yokoyama, Shin'ichi Fujimaki, Taku Konishi , Hiroshi Ishimasa , Hideyuki Murata , Koichi Tomoda, Distance education system for teaching manual skills in endoscopic paranasal sinus surgery using "HyperMirror" telecommunication interface, Proceedings of IEEE Virtual Reality 2008, pp.233-236.
Toru Kumagai, Juli Yamashita, Osamu Morikawa, Kazunori Yokoyama, Shin'ichi Fujimaki, Taku Konishi , Hiroshi Ishimasa , Hideyuki Murata , Koichi Tomoda, Remote technical skills training in endoscpic nasal surgery, 24th Congress of the Pan-Pacific Surgical Association-Japan Chapter (2007).
Toru Kumagai, Juli Yamashita, Osamu Morikawa, Kazunori Yokoyama, A new Force-based Objective Assessment of Technical Skills in Endoscopic Sinus Surgery, Proceedings of Medicine Meets Virtual Reality 15 (2007) .
Pattern recognition through mixture models
Toru Kumagai and Akio Utsugi, Removal of Artifacts and Fluctuations from MEG data by Clustering Methods, Neurocomputing, 62, pp.153-160 (2004). summary
Akio Utsugi, Toru Kumagai, Bayesian Analysis of Mixtures of Factor Analyzers, Neural Computation, 13, pp.993-1002 (2001). abstract
Toru Kumagai, and Akio Utsugi, Removal of Artifacts Contaminated Records from MEG Records using Mixture of Factor Analyzers, Proceedings of the 12th International Conference on Biomagnetism, Espoo, Finland, pp.854-856 (2001). pdf
Toru Kumagai, and Akio Utsugi, Analysis of magnetoencephalogram through mixture of factor analyzers, Transaction of SICE, 36(7), (2000). abstract (In Japanese)
Toru Kumagai, and Akio Utusgi, Handwritten letter recognition through mixture of factor analyzers, International Conference on Engineering application of Neural netowrks, pp.29-33 (1999).
Design of Recurrent Neural Networks through Genetic Algorithm
Toru Kumagai, Mitsuo Wada, Ryoichi Hashimoto, and Akio Utsugi, Dynamical contrl by recurrent neural networks through genetic algorithms, International Journal of Adaptive Control and Signal Processing, 13, pp.261-271(1999). abstract
Toru Kumagai, Mitsuo Wada. Sadayoshi Mikami, and Ryoichi Hashimoto, Learning of Recurrent Neural Networks through Genetic Algorithm with Internal Copy Operator, The Transsactions of the Institute of Electronics, Information and Communication Engineers, J81-D2, pp.378-385 (1998) (In Japanese). abstract
Toru Kumagai, Mitsuo Wada, Sadayoshi Mikami, and Ryoichi Hashimoto, Dynamical control by recurrent neural networks through genetic algorithm, International Conference on Engineering application of Neural networks, Stockholm, pp.333-336(1997).
Toru Kumagai, Mitsuo Wada, Sadayoshi Mikami, and Ryoichi Hashimoto, Structured Learning in Recurrent Neural Network Using Genetic Algorithm with Internal Copy Operator, IEEE International Conference on Evolutionary Computation, Indianapolis, pp.651-656(1997).
Toru Kumagai, Mitsuo Wada, Genetic Algorithm with Internal Copy Operator, International Conference on Neural Networks, Washington, DC(1996).
Analysis of Recurrent Neural Networks
Toru Kumagai, Ryoichi Hashimoto, Mitsuo Wada, Learning of Limit Cycles in Discrete-Time Neural Network, Neurocomputing, 12, pp.1-10(1996). summary
Simone Gardella, Toru Kumagai, Ryoichi Hashimoto, Mitsuo Wada, On the dynamics and applications of a discrete time binary neural network with time delay, Journal of Intelligent and fuzzy Systems, 2, pp.221-228(1994).
Toru Kumagai, Ryoichi Hashimoto, Mitsuo Wada, Learning of Limit Cycles in Discrete-Time Neural Network with Time Delay, The third Inteligent System Symposium, Asahikawa, Japan (1993).
Simone Gardella, Ryoichi Hashimoto, Toru Kumagai and Mitsuo Wada, Periodic Responses of a Hysteresis Neuron Model, IEICE Trans. INF. & SYST. Vol.E76-D, 3, pp.368-376(1993).
Simone Gardella, Toru kumagai, Ryoichi Hashimoto and Mitsuo Wada, On the Dynamics and Potentialities of a Discrete-Time Binary Neural Network with Time Delay, Proc.2nd International Conference on Fuzzy Logic & Neural Networks, July 1992, pp.493-499.
Neural Network Control for Multi Degree of Freedom System
Toru Kumagai, Mitsuo Wada, Sadayoshi Mikami, Ryoichi Hashimoto, Learning Control Method for Robotic Dynamical System, Journal of Robotics and Mechatronics Vol.9, No.1(1997).
Toru Kumagai, Ryoichi Hashimoto and Mitsuo Wada, Control of a multi degree of freedom system using neural networks, Proceedings of the Asian Control Conference Tokyo, pp.293-296(1994).
Toru Kumagai, Ryoichi Hashimoto and Mitsuo Wada, Control of an active mass damper using a neural network, Trans. Japan Society of mechanical Eng., 59-564C, pp.2305-2311(1993) (In Japanese).
Toru Kumagai, Ryoichi Hashimoto, Mitsuo Wada, M.Tanaka and Y.Yoshida, Control of an Active Mass Damper Using Layered Neural Networks, Proceedings of the 1993 JSME International Conference on Advanced Mechatronics (1993).
Ryoichi Hashimoto, Simone Gardella, Toru Kumagai, Tadashi Masuda, Y.Kuba and Mitsuo Wada, Solving Optimal Control Problems of Higher Order Motion Dynamic By Combining Moduled Neural Networks, International Symposium on Measurement and Control of Robot (1992).
Toru Kumagai, Satoshi Akita and Mitsuo Wada, Learning Control of an Inverted Pendulum Using Neural Networks, Trans. Japan Society of mechanical Eng.,58-550C,1781-1786 (1992)(In Japanese)
Ryoichi Hashimoto, Tadashi Masuda, Toru Kumagai and Mitsuo Wada, Self-Organization of General Solution for a Family of Optimal Control Problems with Neural Networks, International Joint Conference on Neural Networks (1991)
MEG studies : Measurement of Human Brain Responses
Toru Kumagai and Akio Utsugi, Removal of Artifacts and Fluctuations from MEG data by Clustering Methods, Neurocomputing (2004). summary
Toru Kumagai, and Akio Utsugi, Removal of Artifacts Contaminated Records from MEG Records using Mixture of Factor Analyzers, Proceedings of the 12th International Conference on Biomagnetism(2001)
Toru Kumagai, Hiroshi Endo, Tsunehiro Takeda, Measurement of MEG Responses Evoked by Visual Discrimination Task, Proceedings of the 10th International Conference on Biomagnetism (2000)
Yoshiaki Kikuchi, Hiroshi Endo, Shuji Yoshizawa, Michiko Kita, Chiaki Nishimura, Masayuki Tanaka, Toru Kumagai and Tsunehiro Takeda, Human cortico-hippocampal activity related to auditory discrimination revealed by neuromagnetic field, NeuroReport, 8(1997)
Tatsu Kobayakawa, Hiroshi Endo, Saho Ayabe-Kanamura, Toru Kumagai, Yoshiko Yamaguchi, Yoshiaki Kikuchi, Tsunehiro Takeda, Sachiko Saito and Hisashi Ogawa, The primary gustatory area in human cerebral cortex studied by magnetoencephalography, Neuroscience Letters, 212, 155-158(1996)
Review
Toru Kumagai, Ryoichi Hashimoto and Mitsuo Wada, Learning Control Using Neural Networks, Journal of Society of Bio-Mechanism, Vol.18, No.3 (1994) 144-150 (In Japanese).
Toru Kumagai and Eiichi Ono, Adaptive Control, in Practical Robot Control, Tokyo: Corona Publishing, 1997 (In Japanese).