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Towards personalized interaction and corrective feedback of a socially assistive robot for post-stroke rehabilitation therapy

dc.contributor.authorLee, Min Hun
dc.contributor.authorSiewiorek, Daniel P.
dc.contributor.authorSmailagic, Asim
dc.contributor.authorBernardino, Alexandre
dc.contributor.authorBermúdez i Badia, Sergi
dc.date.accessioned2022-07-20T14:23:05Z
dc.date.available2022-07-20T14:23:05Z
dc.date.issued2020
dc.description.abstractA robotic exercise coaching system requires the capability of automatically assessing a patient’s exercise to in teract with a patient and generate corrective feedback. However, even if patients have various physical conditions, most prior work on robotic exercise coaching systems has utilized generic, pre-defined feedback. This paper presents an interactive approach that combines machine learning and rule-based models to automatically assess a patient’s rehabilitation exercise and tunes with patient’s data to generate personalized corrective feedback. To generate feedback when an erroneous motion occurs, our approach applies an ensemble voting method that leverages predictions from multiple frames for frame-level assessment. According to the evaluation with the dataset of three stroke rehabilitation exercises from 15 post-stroke subjects, our interactive approach with an ensemble voting method supports more accurate frame level assessment (p < 0.01), but also can be tuned with held-out user’s unaffected motions to significantly improve the perfor mance of assessment from 0.7447 to 0.8235 average F1-scores over all exercises (p < 0.01). This paper discusses the value of an interactive approach with an ensemble voting method for personalized interaction of a robotic exercise coaching system.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationLee, M. H., Siewiorek, D. P., Smailagic, A., Bernardino, A., & Badia, S. B. (2020). Towards personalized interaction and corrective feedback of a socially assistive robot for post-stroke rehabilitation therapy. In 2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) (pp. 1366-1373). IEEE.pt_PT
dc.identifier.doi10.1109/RO-MAN47096.2020.9223462pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.13/4437
dc.language.isoengpt_PT
dc.publisherIEEEpt_PT
dc.relationThe AHA project aims to develop a robotic assistance plataform for supporting healthy lifestyle and sustain active aging.
dc.relationLaboratory of Robotics and Engineering Systems
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectAssistive robotpt_PT
dc.subjectPost-stroke rehabilitation therapypt_PT
dc.subjectRobotpt_PT
dc.subjectStroke rehabilitation therapypt_PT
dc.subject.pt_PT
dc.subjectFaculdade de Ciências Exatas e da Engenhariapt_PT
dc.titleTowards personalized interaction and corrective feedback of a socially assistive robot for post-stroke rehabilitation therapypt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleThe AHA project aims to develop a robotic assistance plataform for supporting healthy lifestyle and sustain active aging.
oaire.awardTitleLaboratory of Robotics and Engineering Systems
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//SFRH%2FBD%2F113694%2F2015/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50009%2F2020/PT
oaire.citation.endPage1373pt_PT
oaire.citation.startPage1366pt_PT
oaire.citation.title2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameBermúdez i Badia
person.givenNameSergi
person.identifier239789
person.identifier.ciencia-idCA17-5E88-2B37
person.identifier.orcid0000-0003-4452-0414
person.identifier.ridC-8681-2018
person.identifier.scopus-author-id6506360007
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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relation.isProjectOfPublicationa7d87d10-aada-456c-8552-7896d28a2552
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