TY - GEN
T1 - Human motion tracking for cognitive rehabilitation in informationally structured space based on sensor networks
AU - Toda, Yuichiro
AU - Kodai, Yuki
AU - Hiwada, Eriko
AU - Kubota, Naoyuki
PY - 2011/9/27
Y1 - 2011/9/27
N2 - 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.
AB - 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.
KW - Evolutionary Computation
KW - Human Motion Tracking
KW - Rehabilitation
KW - Robot Partners
KW - Sensor Networks
UR - http://www.scopus.com/inward/record.url?scp=80053084604&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80053084604&partnerID=8YFLogxK
U2 - 10.1109/FUZZY.2011.6007712
DO - 10.1109/FUZZY.2011.6007712
M3 - Conference contribution
AN - SCOPUS:80053084604
SN - 9781424473175
T3 - IEEE International Conference on Fuzzy Systems
SP - 1459
EP - 1465
BT - FUZZ 2011 - 2011 IEEE International Conference on Fuzzy Systems - Proceedings
T2 - 2011 IEEE International Conference on Fuzzy Systems, FUZZ 2011
Y2 - 27 June 2011 through 30 June 2011
ER -