Title :
Human motion tracking for cognitive rehabilitation in informationally structured space based on sensor networks
Author :
Toda, Yuichiro ; Kodai, Yuki ; Hiwada, Eriko ; Kubota, Naoyuki
Author_Institution :
Tokyo Metropolitan Univ., Tokyo, Japan
Abstract :
This paper discusses measurement methods of human behaviors based on sensor network and human interaction of rehabilitation using robot partners. First, we explain robot partners and sensor networks for rehabilitation. Next, we apply a steady-state genetic algorithm to extract human motions from 3D distance image. Finally, we discuss the effectiveness of the proposed methods through several experimental results.
Keywords :
cognition; genetic algorithms; image motion analysis; medical robotics; patient rehabilitation; 3D distance image; cognitive rehabilitation; genetic algorithm; human behaviors; human interaction; human motion extraction; human motion tracking; informationally structured space; robot partners; sensor networks; Databases; Humans; Reliability; Robot sensing systems; Senior citizens; Three dimensional displays; Evolutionary Computation; Human Motion Tracking; Rehabilitation; Robot Partners; Sensor Networks;
Conference_Titel :
Fuzzy Systems (FUZZ), 2011 IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-7315-1
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZY.2011.6007712
