Biological Systems Engineering Lab

  • Biological Systems Engineering Lab
  • Research Groups
  • BIO-REMOTE
  • BIO-REMOTE
  • Biweekly lab seminar 1
  • Biweekly lab seminar 2
  • Biweekly lab seminar 3
  • Biweekly lab seminar 4
  • Biweekly lab seminar 5
  • Biological Systems Engineering Lab
  • Research Groups
  • BIO-REMOTE
  • BIO-REMOTE
  • Medical engineering group Seminar 1
  • Medical engineering group Seminar 2
  • Medical engineering group Seminar 3
  • Medical engineering group Seminar 4
  • Kansei brain group Seminar 1
  • Kansei brain group Seminar 2
  • Kansei brain group Seminar 3
  • Kansei brain group Seminar 4
  • Human modeling group Seminar 1
  • Human modeling group Seminar 2
  • Human modeling group Seminar 3
  • Human modeling group Seminar 4
  • Biological Signal Analysis Group Seminar 1
  • Biological Signal Analysis Group Seminar 2
  • Biological Signal Analysis Group Seminar 3
  • Biological Signal Analysis Group Seminar 4
  • Biological Systems Engineering Lab
  • Research Groups
  • BIO-REMOTE
  • BIO-REMOTE
  • Biweekly lab meeting 4
  • Biweekly lab meeting 4
  • Biweekly lab meeting 4
  • Biweekly lab meeting 4
  • Biweekly lab meeting 4
  • Biweekly lab meeting 4
  • Biweekly lab meeting 4
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Living organisms developed in nature through the evolution process are equipped with supremely skilled and sophisticated biological functions that cannot be realized with current engineering techniques. Analysis of these mechanisms may lead to not only elucidation of biological functions but also development of a wide variety of novel engineering systems.

From the viewpoint of a scientist approaching the secrets of living organisms and from that of an engineer developing machinery useful for human kind, the members of Biological Systems Engineering laboratory work on a wide variety of projects to analyze the characteristics of biological functions from theoretical and experimental approaches employing engineering techniques aiming to find new principles peculiar to biological systems, and develop novel medical/welfare apparatuses and industrial devices by applying the elucidated principles.

Through such research activities, the students can learn in-depth knowledge about biological systems based on electricity, electronics, systems and information engineering foundation allowing themselves to become creative engineers capable of seeking a new principle and expanding it into new fields.

Five research themes

There are still a lot of unknown functions and mechanisms hidden in the biological system. If we can elucidate and utilize them from engineering standpoint,then there is a possibility of creating new technologies to carve out the future of the 21st century. The Biological Systems Engineering Laboratory categorizes the broad research field of biological systems into five major research themes in order to explore specific research projects under each theme, and further functionally coordinate and fuse each theme to create novel research fields.

Biological signal analysis and its application to human interfaces

We develop novel signal processing algorithms that enablethe interpretation of human motions, intentions, and physiological/psychological states contained in biological signals, such as myoelectric signals, electroencephalograms, and electrocardiograms, as well as create robotic interfaces and medical welfare equipment.

Biomechanical analysis and its application to human-machine system design

We model human sensory/motor functions from electrical and electronicperspectives based on experimentally measured data, and develop novel movement support systems and next-generation automobile control systems by incorporating modeled human characteristics.

Statistical structure of neural networks based on novel machine learning algorithms

We propose new machine learning algorithms and neural networks based on probabilistic statistical theory and applythese to the development oflearning and control technologiesfor robots, medical welfare equipment, and medical data classificationtechnology.

Brain function/neural network modeling and artificial life models

Focusing on functions such as locomotion generation, sensation, perception, learning, and judgment, we model brain functions from an engineering viewpoint using artificial neural networks. Ultimately, we aim to model and analyze higher brain functions, especially social brain functions that understand the minds of others and live harmoniously, and Kansei that involves nonverbal, unconscious, and intuitive sensibilities. We also develop artificial life form models based on biological knowledge using the constructed brain models.

Biometric information mining technology and medical support systems

We are engaged in the research and development of novel medical support systems and medical devices through medicine-engineering collaborations by utilizing electric and electronic systems and information engineering technologies, such as biomechanical analysis technology, biological signal analysis technology, machine learning technology, and biological simulation technology that were developed in the Biological Systems Engineering laboratory.

Publications

Our research results have been published in scientific journals, books, conference proceedings, patent, etc.. The numbers of publications the lab produced are shown as follows
(as of August 18, 2017):

Latest papers

A Virtual Myoelectric Prosthesis Training System Capable of Providing Instructions on Hand Operations

Go Nakamura, Taro Shibanoki, Yuichi Kurita, Yuichiro Honda, Akito Masuda, Futoshi Mizobe, Takaaki Chin, and Toshio Tsuji
International Journal of Advanced Robotic Systems (IJARS) (Accepted) (SCI, IF=0.987)

A Voice Signal-Based Manipulation Method for the Bio-Remote Environment Control System Based on Candidate Word Discriminations

Taro Shibanoki, Go Nakamura, Takaaki Chin and Toshio Tsuji
Journal of Robotics, Networking and Artificial Life, Vol. 4, No. 1 (June 2017), pp. 87-90, 2017 (SCI, in press)

Obstacle Avoidance Method for Electric Wheelchairs Based on a Multi-Layered Non-Contact Impedance Model

Haruna Kokubo, Taro Shibaniki,Takaaki Chin and Toshio Tsuji
Journal of Robotics, Networking and Artificial Life, Vol. 4, No. 1 (June 2017), pp. 45-48, 2017 (SCI, in press)

Representative papers

Human Hand Impedance Characteristics during Maintained Posture in Multi-Joint Arm Movements

T.Tsuji, P.Morasso, K.Goto and K.Ito
Biological Cybernetics, Vol.72, pp.475-485, 1995.

A Human-Assisting Manipulator Teleoperated by EMG Signals and Arm Motions

Osamu Fukuda, Toshio Tsuji, Makoto Kaneko and Akira Otsuka
IEEE Transactions on Robotics and Automation, Vol.19, No.2, pp.210-222, April 2003.

A Recurrent Log-linearized Gaussian Mixture Network

Toshio Tsuji, Nan Bu, Makoto Kaneko, Osamu Fukuda
IEEE Transactions on Neural Networks, Vol.14, No.2, pp.304-316, March 2003.