Implementation of eXplainable Artificial Intelligence: Case Study on the Assessment of Movements to Support Neuromotor Rehabilitation

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorUniversidade Federal de São João del-Rei-
Autor(es): dc.creatorde Camargo, Luiz Felipe-
Autor(es): dc.creatorDias, Diego Roberto Colombo-
Autor(es): dc.creatorBrega, José Remo Ferreira-
Data de aceite: dc.date.accessioned2025-08-21T18:44:25Z-
Data de disponibilização: dc.date.available2025-08-21T18:44:25Z-
Data de envio: dc.date.issued2025-04-29-
Data de envio: dc.date.issued2022-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1007/978-3-031-36805-9_37-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/308295-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/308295-
Descrição: dc.descriptionSolutions based on Artificial Intelligence are being used to solve problems in various domains. However, many people feel uncomfortable with this type of solution because they must understand how it works. In the face of this, the so-called eXplainable Artificial Intelligence arises, seeking not only to provide the answers produced by Artificial Intelligence but also to offer aspects of explainability, detailing the decision process and generating confidence. In this context, a literature review on eXplainable Artificial Intelligence has presented a brief comparative study between the most popular libraries for this implementation and a deepening of the theme of explainability evaluation and the comprehension process. A proposal for the implementation and evaluation of eXplainable Artificial Intelligence in the context of movement classification to support neuromotor rehabilitation was built from the results obtained. The first experiments performed showed to be promising. The proposal is expected to be relevant for addressing a growing theme in a context, the health area, that demands explicability and transparency in decisions.-
Descrição: dc.descriptionUniversidade Estadual Paulista “Júlio de Mesquita Filho”, SP-
Descrição: dc.descriptionUniversidade Federal de São João del-Rei-
Descrição: dc.descriptionUniversidade Estadual Paulista “Júlio de Mesquita Filho”, SP-
Formato: dc.format564-580-
Idioma: dc.languageen-
Relação: dc.relationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectartificial intelligence-
Palavras-chave: dc.subjectexplainable artificial intelligence-
Palavras-chave: dc.subjectimplementation-
Palavras-chave: dc.subjectmotion assessment-
Palavras-chave: dc.subjectrehabilitation-
Título: dc.titleImplementation of eXplainable Artificial Intelligence: Case Study on the Assessment of Movements to Support Neuromotor Rehabilitation-
Tipo de arquivo: dc.typeaula digital-
Aparece nas coleções:Repositório Institucional - Unesp

Não existem arquivos associados a este item.