DocumentCode
3124635
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
fYear
2011
fDate
27-30 June 2011
Firstpage
1459
Lastpage
1465
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems (FUZZ), 2011 IEEE International Conference on
Conference_Location
Taipei
ISSN
1098-7584
Print_ISBN
978-1-4244-7315-1
Electronic_ISBN
1098-7584
Type
conf
DOI
10.1109/FUZZY.2011.6007712
Filename
6007712
Link To Document