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Conference Paper: Bio-inspired wearable soft upper-limb exoskeleton robot for stroke survivors

TitleBio-inspired wearable soft upper-limb exoskeleton robot for stroke survivors
Authors
Issue Date2017
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000856
Citation
Proceedings of 2017 IEEE International Conference on Robotics and Biomimetics (ROBIO), Macau, China, 5-8 December 2017, p. 2693-2698 How to Cite?
AbstractOver the years, the exoskeleton robot has become an effective technical means in the field of limb action function recovery. In this paper, a bionic wearable upper limb exoskeleton robot is proposed for stroke survivors. The robot is designed on the basis of anatomy and biomechanics. Based on the skeletal structure of the human body, the bones and muscles of the human body movement system are modeled. The skeletal muscle and the muscle tendon are simulated by the tension line and the flexible band respectively. The robot is tested on a humanoid platform. Test results show that the joint motion range and trajectory curve are highly similar to the human body. The effectiveness of the bionic design is proved. The whole device motion chain has a similar motion configuration of the human body, and the drive mode conforms to the principle of human driving, so that the wearer's movement conforms to the normal mode of the human body. The robot is wearable and light in structure. This work will assist the upper-limbs in both activities of daily livings (ADLs) and physical therapy, and improve the life confidence and self-care ability of patients with movement ability disorders.
Persistent Identifierhttp://hdl.handle.net/10722/261964

 

DC FieldValueLanguage
dc.contributor.authorLi, N-
dc.contributor.authorYu, P-
dc.contributor.authorYang, T-
dc.contributor.authorZhao, L-
dc.contributor.authorLiu, Z-
dc.contributor.authorXi, N-
dc.contributor.authorLiu, L-
dc.date.accessioned2018-09-28T04:51:03Z-
dc.date.available2018-09-28T04:51:03Z-
dc.date.issued2017-
dc.identifier.citationProceedings of 2017 IEEE International Conference on Robotics and Biomimetics (ROBIO), Macau, China, 5-8 December 2017, p. 2693-2698-
dc.identifier.urihttp://hdl.handle.net/10722/261964-
dc.description.abstractOver the years, the exoskeleton robot has become an effective technical means in the field of limb action function recovery. In this paper, a bionic wearable upper limb exoskeleton robot is proposed for stroke survivors. The robot is designed on the basis of anatomy and biomechanics. Based on the skeletal structure of the human body, the bones and muscles of the human body movement system are modeled. The skeletal muscle and the muscle tendon are simulated by the tension line and the flexible band respectively. The robot is tested on a humanoid platform. Test results show that the joint motion range and trajectory curve are highly similar to the human body. The effectiveness of the bionic design is proved. The whole device motion chain has a similar motion configuration of the human body, and the drive mode conforms to the principle of human driving, so that the wearer's movement conforms to the normal mode of the human body. The robot is wearable and light in structure. This work will assist the upper-limbs in both activities of daily livings (ADLs) and physical therapy, and improve the life confidence and self-care ability of patients with movement ability disorders.-
dc.languageeng-
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000856-
dc.relation.ispartofIEEE International Conference on Robotics and Biomimetics Proceedings-
dc.rightsIEEE International Conference on Robotics and Biomimetics Proceedings. Copyright © IEEE.-
dc.titleBio-inspired wearable soft upper-limb exoskeleton robot for stroke survivors-
dc.typeConference_Paper-
dc.identifier.emailXi, N: xining@hku.hk-
dc.identifier.authorityXi, N=rp02044-
dc.identifier.doi10.1109/ROBIO.2017.8324826-
dc.identifier.hkuros292503-
dc.identifier.spage2693-
dc.identifier.epage2698-
dc.publisher.placeUnited States-

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