DocumentCode :
2037930
Title :
The analysis of lift up skill by human
Author :
Sakaida, Yuki ; Chugo, Daisuke ; Ikeura, Ryojun
Author_Institution :
Human-Interactive Robot Res., RIKEN, Nagoya, Japan
fYear :
2011
fDate :
13-18 Sept. 2011
Firstpage :
2494
Lastpage :
2499
Abstract :
In recent years, rapid aging in Japanese society advances and the care givers takes on large loads. Especially, transfer operation, such as a patient transfer from a bed to a wheelchair or back, is one of the most physically heavy tasks in nursing care. Therefore, there is strong demand for nursing assist system for them. We have developed the nursing-care assistant robot named RIBA that aimed to assist transferring a patient by lifting up. It is necessary to investigate how to transfer a human from a bed to a wheelchair or back. In this paper, we measure the lift up motion by human and analyze the skill of safety and efficient lift up in order to apply for base of the motion planning of RIBA. From analyzed results, a human can lift up the object only moving the arms small in front and rear. This means, it reduces the risk of dropping the object. Comparing with angle of the right and left arms, the angle of the head side arm is larger than the angle of the leg side arm. It recognized that the right and left arm take the different role when lifting up. Finally, we make the prototype lift up motion and implement to RIBA, and try to lift up the human.
Keywords :
biological organs; biomechanics; biomedical equipment; handicapped aids; medical computing; medical robotics; path planning; patient care; wheelchairs; head side arm; leg side arm; lift up motion; lift up skill analysis; motion planning; nursing care; nursing-care assistant robot; patient transfer; transfer operation; wheelchair; Elbow; Humans; Medical services; Motion measurement; Robots; Safety; Wheelchairs; Caregiver assistance; Lift-up motion; Nursing skill; RIVA;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SICE Annual Conference (SICE), 2011 Proceedings of
Conference_Location :
Tokyo
ISSN :
pending
Print_ISBN :
978-1-4577-0714-8
Type :
conf
Filename :
6060399
Link To Document :
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