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Home >> Researchers & Themes >> Keiki Takadama

Researchers & Themes

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  • Kiyoshi Izumi
  • Tetsuya Ogata
  • Hiroaki Ogata
  • Hiroyuki Kajimoto
  • Keiki Takadama
  • Katsuya Takanashi
  • Fumihide Tanaka
  • Toshiaki Tsuji
  • Shoichi Hasegawa
  • Tatsuya Harada
  • Mayumi Bono
  • Noriko Yamagishi
Keiki Takadama

Keiki Takadama

Spiral Care Support System based on Learning and Evolutionary Mechanism5 year type

Research Site The University of Electro-Communications Department of Information and Communication Engineering, Professor


Researchers Theme Outline

This research focuses on care of aged persons in a super aging society and aims at developing the care support system that can improve the quality of care by solving the problems of aged persons, care workers, and managers. This research, in particular, implements the care support system for each aged person by introducing both learning and evolutionary mechanisms, and shows its effectiveness in the real care house. Furthermore, this research pursues the standardization and de facto standard of care support systems that are not systemized in comparison with the medical system.