Grant-in-Aid for Scientific Research (B).
|Section||University-to-University Cooperative Research|
|Research Institution||The University of Tokushima|
SUZUKI Takayuki Faculty of Engineering, The University of Tokushima, Professor, 工学部, 教授 (40035605)
PANDYA A.S. フロリダアトランティック大学, 工学部, 助教授
NEELAKANTA P フロリダアトランティック大学, 工学部, 教授
NAGASHINO Hirofumi Faculty of Engineering, The University of Tokushima, Associate Professor, 工学部, 助教授 (40035655)
KINOUCHI Yohsuke Faculty of Engineering, The University of Tokushima, Professor, 工学部, 教授 (80035807)
MORITA Yusuke School of Medicine, The University of Tokushima, Professor, 医学部, 教授 (00035479)
SUDHAKAR R. フロリダアトランティック大学, 工学部, 教授
MURAKAMI Riichi Faculty of Engineering, The University of Tokushima, Professor, 工学部, 教授 (00112235)
山口 久雄 徳島大学, 医学部, 助教授 (90035436)
森本 忠興 徳島大学, 医療技術短期大学部, 教授 (10112244)
NIKI Noboru Faculty of Engineering, The University of Tokushima, Professor, 工学部, 教授 (80116847)
|Project Fiscal Year
1997 – 1999
Completed(Fiscal Year 1999)
|Budget Amount *help
¥5,800,000 (Direct Cost : ¥5,800,000)
Fiscal Year 1999 : ¥2,000,000 (Direct Cost : ¥2,000,000)
Fiscal Year 1998 : ¥1,700,000 (Direct Cost : ¥1,700,000)
Fiscal Year 1997 : ¥2,100,000 (Direct Cost : ¥2,100,000)
|Keywords||Brain / Biological function / Neural Network / Recognition / Learning / Control / Multi-freedom movement / Cooperation / 脳 / 生体機能 / ニューラルネットワーク / 認識 / 学習 / 制御 / 多自由度運動 / 協調|
The purpose of this research project is to develop new technologies based on superior biological functions under the coorperation with professors of Florida Atlantic University.
Sumary of the research results is as follows :
1. Measurement of biological functions
Movement and its control of the findings and the jaws, electric properties of the tissue, biological effects of electro magnetic fields, and signal source activities in the brain were measured to evaluate biological functions from viewpoints of new technology development. A new real time measurement system for biological movement and a new EEG measurement system for biological source localization were developed.
2. Signal processing based on biological functions.
A new algorithm for spatiotemporal signals has been developed after evaluating the integrating functions of the brain which include adaptive learning and recognition of multidimensional signals, and adaptive cooperation and control.
3. Development of applied systems.
Based of the biological functions, a self-learning pattern recognition system and a multidimensional integrated control system, and their applications were developed.
International mini-symposium were held every year to discuss research results and plans with foreign researchers in cooperation.