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dc.contributor.authorCasas, Jen
dc.contributor.authorGomez, NCen
dc.contributor.authorSenft, Een
dc.contributor.authorIrfan, Ben
dc.contributor.authorGutierrez, LFen
dc.contributor.authorRincon, Men
dc.contributor.authorMunera, Men
dc.contributor.authorBelpaeme, Ten
dc.contributor.authorCifuentes, CAen
dc.date.accessioned2019-04-04T13:12:51Z
dc.date.available2019-04-04T13:12:51Z
dc.date.issued2018-12-24en
dc.identifier.isbn9781538684641en
dc.identifier.urihttp://hdl.handle.net/10026.1/13637
dc.description.abstract

Social robots are demonstrating to have potential in several healthcare applications, especially in rehabilitation areas. This paper presents an architecture for a socially assistive robot system for cardiac rehabilitation, based on a model-controller structure through a finite-state machine and a behaviour module. The platform has been designed to provide social support and assistance during the therapy, aiming to improve the quality of the provided service, as well as the engagement and performance of the patients. This architecture has been tested under clinical conditions with a patient during a typical therapy session. The results show that the proposed architecture is able to adapt to the various situations present during a session, providing a robust framework to further develop the robot's behaviour towards a more natural and intuitive interaction with the patients.

en
dc.language.isoenen
dc.titleArchitecture for a Social Assistive Robot in Cardiac Rehabilitationen
dc.typeConference Contribution
plymouth.publication-statusPublisheden
plymouth.journal2018 IEEE 2nd Colombian Conference on Robotics and Automation, CCRA 2018en
dc.identifier.doi10.1109/CCRA.2018.8588133en
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/Research Groups
plymouth.organisational-group/Plymouth/Research Groups/Marine Institute
plymouth.organisational-group/Plymouth/Users by role
dc.rights.embargoperiodNot knownen
rioxxterms.versionofrecord10.1109/CCRA.2018.8588133en
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.typeConference Paper/Proceeding/Abstracten


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