Publication
XAI Framework for Fall Detection in an AAL System
| datacite.subject.fos | Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática | |
| datacite.subject.sdg | 12:Produção e Consumo Sustentáveis | |
| dc.contributor.author | Messaoudi, Chaima | |
| dc.contributor.author | Kalbermatter, Rebeca B. | |
| dc.contributor.author | Lima, José | |
| dc.contributor.author | Pereira, Ana I. | |
| dc.contributor.author | Guessoum, Zahia | |
| dc.contributor.author | Kalbermatter, Rebeca B. | |
| dc.date.accessioned | 2025-04-23T09:52:32Z | |
| dc.date.available | 2025-04-23T09:52:32Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | The Ambient Assisted Living (AAL) systems are humancentered and designed to prioritize the needs of elderly individuals, providing them with assistance in case of emergencies or unexpected situations. These systems involve caregivers or selected individuals who can be alerted and provide the necessary help when needed. To ensure effective assistance, it is crucial for caregivers to understand the reasons behind alarm triggers and the nature of the danger. This is where an explainability module comes into play. In this paper, we introduce an explainability module that offers visual explanations for the fall detection module. Our framework involves generating anchor boxes using the K-means algorithm to optimize object detection and using YOLOv8 for image inference. Additionally, we employ two well-known XAI (Explainable Artificial Intelligence) algorithms, LIME (Local Interpretable Model) and Grad-CAM (Gradient-weighted Class Activation Mapping), to provide visual explanations. | eng |
| dc.description.sponsorship | The cooperation was supported by the HORIZON-WIDERA- 2021-ACCESS-03-01 STEP - STEM Research and Equality, Diversity and Inclusion Project, under Grant Agreement No. 101078933. The authors were supported by national funds through FCT/MCTES (PIDDAC): CeDRI, UIDB/05757/2020 (DOI: 10.54499/UIDB/05757/2020) UIDP/05757/2020 (DOI: 10.54499/UIDP/05757/2020); SusTEC, LA/P/0007/2020 (DOI: 10.54499/LA/P/0007/2020); and VASA Chatbot (VASA 22PRC210) | |
| dc.identifier.doi | 10.1007/978-3-031-77426-3_1 | |
| dc.identifier.eissn | 1865-0937 | |
| dc.identifier.isbn | 9783031774256 | |
| dc.identifier.isbn | 9783031774263 | |
| dc.identifier.uri | http://hdl.handle.net/10198/34425 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.publisher | Springer Nature | |
| dc.relation | Research Centre in Digitalization and Intelligent Robotics | |
| dc.relation | Research Centre in Digitalization and Intelligent Robotics | |
| dc.relation | Associate Laboratory for Sustainability and Tecnology in Mountain Regions | |
| dc.relation.ispartof | Communications in Computer and Information Science | |
| dc.relation.ispartof | Optimization, Learning Algorithms and Applications | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | EXplainable AI | |
| dc.subject | Ambient Assisted Living | |
| dc.subject | Fall detection | |
| dc.subject | Human-centered-systems | |
| dc.subject | YOLO | |
| dc.title | XAI Framework for Fall Detection in an AAL System | eng |
| dc.type | conference paper | |
| dspace.entity.type | Publication | |
| oaire.awardTitle | Research Centre in Digitalization and Intelligent Robotics | |
| oaire.awardTitle | Research Centre in Digitalization and Intelligent Robotics | |
| oaire.awardTitle | Associate Laboratory for Sustainability and Tecnology in Mountain Regions | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F05757%2F2020/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0007%2F2020/PT | |
| oaire.citation.endPage | 18 | |
| oaire.citation.startPage | 3 | |
| oaire.citation.title | 4th International Conference on Optimization, Learning Algorithms and Applications, OL2A 2024 | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
| person.familyName | Lima | |
| person.familyName | Pereira | |
| person.familyName | Kalbermatter | |
| person.givenName | José | |
| person.givenName | Ana I. | |
| person.givenName | Rebeca B. | |
| person.identifier | R-000-8GD | |
| person.identifier.ciencia-id | 6016-C902-86A9 | |
| person.identifier.ciencia-id | 0716-B7C2-93E4 | |
| person.identifier.ciencia-id | C410-B5A7-8C80 | |
| person.identifier.orcid | 0000-0001-7902-1207 | |
| person.identifier.orcid | 0000-0003-3803-2043 | |
| person.identifier.orcid | 0000-0002-5219-4084 | |
| person.identifier.rid | L-3370-2014 | |
| person.identifier.rid | F-3168-2010 | |
| person.identifier.scopus-author-id | 55851941311 | |
| person.identifier.scopus-author-id | 15071961600 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| 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 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| relation.isAuthorOfPublication | d88c2b2a-efc2-48ef-b1fd-1145475e0055 | |
| relation.isAuthorOfPublication | e9981d62-2a2b-4fef-b75e-c2a14b0e7846 | |
| relation.isAuthorOfPublication | 6c6958b9-da4e-4eb7-a6c5-3b0d124edc0c | |
| relation.isAuthorOfPublication.latestForDiscovery | d88c2b2a-efc2-48ef-b1fd-1145475e0055 | |
| relation.isProjectOfPublication | 6e01ddc8-6a82-4131-bca6-84789fa234bd | |
| relation.isProjectOfPublication | d0a17270-80a8-4985-9644-a04c2a9f2dff | |
| relation.isProjectOfPublication | 6255046e-bc79-4b82-8884-8b52074b4384 | |
| relation.isProjectOfPublication.latestForDiscovery | 6e01ddc8-6a82-4131-bca6-84789fa234bd |