Toru Kumagai, Ph.D.

Human Ubiquitous-Environment Interaction Group

Human Technology Research Institute

National Institute of Advanced Industrial Science and Technology (AIST)

1-1-1, Higashi, Tsukuba, Ibaraki 305-8566, 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 has been a senior research scientist of Human Technology Research Institute of AIST since 2010. 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

  1. BulletToru 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

  2. BulletAkihiko 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).

  3. BulletToru 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).

  4. BulletToru Kumagai, Motoyuki Akamatsu, Prediction of human driving behavior using dynamic Bayesian networks, IEICE Trans. Inf. & Syst. , E89D-2, pp.857-860 (2006).sumarry, pdf

  5. BulletToru 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

  6. BulletToru 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

  7. BulletToru 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

  1. BulletJuli 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)

  2. BulletToru 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.

  3. BulletToru 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).

  4. BulletToru 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

  1. BulletToru Kumagai and Akio Utsugi, Removal of Artifacts and Fluctuations from MEG data by Clustering Methods, Neurocomputing, 62, pp.153-160 (2004). summary

  2. BulletAkio Utsugi, Toru Kumagai, Bayesian Analysis of Mixtures of Factor Analyzers, Neural Computation, 13, pp.993-1002 (2001). abstract

  3. BulletToru 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

  4. BulletToru Kumagai, and Akio Utsugi, Analysis of magnetoencephalogram through mixture of factor analyzers, Transaction of SICE, 36(7), (2000). abstract (In Japanese)

  5. BulletToru 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

  1. BulletToru 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

  2. BulletToru 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

  3. BulletToru 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).

  4. BulletToru 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).

  5. BulletToru Kumagai, Mitsuo Wada, Genetic Algorithm with Internal Copy Operator, International Conference on Neural Networks, Washington, DC(1996).


Analysis of Recurrent Neural Networks

  1. BulletToru Kumagai, Ryoichi Hashimoto, Mitsuo Wada, Learning of Limit Cycles in Discrete-Time Neural Network, Neurocomputing, 12, pp.1-10(1996). summary

  2. BulletSimone 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).

  3. BulletToru 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).

  4. BulletSimone 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).

  5. BulletSimone 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

  1. BulletToru Kumagai, Mitsuo Wada, Sadayoshi Mikami, Ryoichi Hashimoto, Learning Control Method for Robotic Dynamical System, Journal of Robotics and Mechatronics Vol.9, No.1(1997).

  2. BulletToru 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).

  3. BulletToru 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).

  4. BulletToru 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).

  5. BulletRyoichi 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).

  6. BulletToru 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)

  7. BulletRyoichi 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

  1. BulletToru Kumagai and Akio Utsugi, Removal of Artifacts and Fluctuations from MEG data by Clustering Methods, Neurocomputing (2004). summary

  2. BulletToru 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)

  3. BulletToru Kumagai, Hiroshi Endo, Tsunehiro Takeda, Measurement of MEG Responses Evoked by Visual Discrimination Task, Proceedings of the 10th International Conference on Biomagnetism (2000)

  4. BulletYoshiaki 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)

  5. BulletTatsu 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

  1. BulletToru 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).

  2. BulletToru Kumagai and Eiichi Ono, Adaptive Control, in Practical Robot Control, Tokyo: Corona Publishing, 1997 (In Japanese).


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