TY - JOUR
T1 - Rehabilitation Robot for Elderly with Estimation of Stride
AU - Okazaki, Junya
AU - Hoshina, Atsushi
AU - Sugaya, Midori
PY - 2017/1/1
Y1 - 2017/1/1
N2 - In the literature pertaining to supporting rehabilitation for elderly people, methods such as robot suits and belts has been proposed, however the method to be used casually by individuals is not provided sufficiently. In this research, we propose a rehabilitation robot that allows elderly people to perform rehabilitation individually. Specifically, the robot provides adaptive motion according to the stride of a person, based on the estimation of stride length by a statistical method. We develop a prototype of a rehabilitation robot that assists the movement of people, based on the estimation of the stride. To evaluate performance, we evaluate the ratio of recall and relevance rate of the proposed rehabilitation robot, with the proposed method that based on the estimation of stride length. The result shows that the effectiveness of estimation.
AB - In the literature pertaining to supporting rehabilitation for elderly people, methods such as robot suits and belts has been proposed, however the method to be used casually by individuals is not provided sufficiently. In this research, we propose a rehabilitation robot that allows elderly people to perform rehabilitation individually. Specifically, the robot provides adaptive motion according to the stride of a person, based on the estimation of stride length by a statistical method. We develop a prototype of a rehabilitation robot that assists the movement of people, based on the estimation of the stride. To evaluate performance, we evaluate the ratio of recall and relevance rate of the proposed rehabilitation robot, with the proposed method that based on the estimation of stride length. The result shows that the effectiveness of estimation.
KW - human detection
KW - mobile robot
KW - welfare
UR - http://www.scopus.com/inward/record.url?scp=85032338768&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85032338768&partnerID=8YFLogxK
U2 - 10.1016/j.procs.2017.08.134
DO - 10.1016/j.procs.2017.08.134
M3 - Article
AN - SCOPUS:85032338768
VL - 112
SP - 2004
EP - 2013
JO - Procedia Computer Science
JF - Procedia Computer Science
SN - 1877-0509
ER -