Publication
Towards personalized interaction and corrective feedback of a socially assistive robot for post-stroke rehabilitation therapy
dc.contributor.author | Lee, Min Hun | |
dc.contributor.author | Siewiorek, Daniel P. | |
dc.contributor.author | Smailagic, Asim | |
dc.contributor.author | Bernardino, Alexandre | |
dc.contributor.author | Bermúdez i Badia, Sergi | |
dc.date.accessioned | 2022-07-20T14:23:05Z | |
dc.date.available | 2022-07-20T14:23:05Z | |
dc.date.issued | 2020 | |
dc.description.abstract | A 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.version | info:eu-repo/semantics/publishedVersion | pt_PT |
dc.identifier.citation | Lee, 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.doi | 10.1109/RO-MAN47096.2020.9223462 | pt_PT |
dc.identifier.uri | http://hdl.handle.net/10400.13/4437 | |
dc.language.iso | eng | pt_PT |
dc.publisher | IEEE | pt_PT |
dc.relation | The AHA project aims to develop a robotic assistance plataform for supporting healthy lifestyle and sustain active aging. | |
dc.relation | Laboratory of Robotics and Engineering Systems | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | pt_PT |
dc.subject | Assistive robot | pt_PT |
dc.subject | Post-stroke rehabilitation therapy | pt_PT |
dc.subject | Robot | pt_PT |
dc.subject | Stroke rehabilitation therapy | pt_PT |
dc.subject | . | pt_PT |
dc.subject | Faculdade de Ciências Exatas e da Engenharia | pt_PT |
dc.title | Towards personalized interaction and corrective feedback of a socially assistive robot for post-stroke rehabilitation therapy | pt_PT |
dc.type | conference object | |
dspace.entity.type | Publication | |
oaire.awardTitle | The AHA project aims to develop a robotic assistance plataform for supporting healthy lifestyle and sustain active aging. | |
oaire.awardTitle | Laboratory of Robotics and Engineering Systems | |
oaire.awardURI | info:eu-repo/grantAgreement/FCT//SFRH%2FBD%2F113694%2F2015/PT | |
oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50009%2F2020/PT | |
oaire.citation.endPage | 1373 | pt_PT |
oaire.citation.startPage | 1366 | pt_PT |
oaire.citation.title | 2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) | pt_PT |
oaire.fundingStream | 6817 - DCRRNI ID | |
person.familyName | Bermúdez i Badia | |
person.givenName | Sergi | |
person.identifier | 239789 | |
person.identifier.ciencia-id | CA17-5E88-2B37 | |
person.identifier.orcid | 0000-0003-4452-0414 | |
person.identifier.rid | C-8681-2018 | |
person.identifier.scopus-author-id | 6506360007 | |
project.funder.identifier | http://doi.org/10.13039/501100001871 | |
project.funder.identifier | http://doi.org/10.13039/501100001871 | |
project.funder.name | Fundação para a Ciência e a Tecnologia | |
project.funder.name | Fundação para a Ciência e a Tecnologia | |
rcaap.rights | openAccess | pt_PT |
rcaap.type | conferenceObject | pt_PT |
relation.isAuthorOfPublication | ef8f1e3b-3c09-4817-80d0-d96aa88051a2 | |
relation.isAuthorOfPublication.latestForDiscovery | ef8f1e3b-3c09-4817-80d0-d96aa88051a2 | |
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