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Sistema de Apoio para Medicação de Idosos com Recurso ao Reconhecimento de Fala e Facial

datacite.subject.fosEngenharia e Tecnologiapt_PT
dc.contributor.advisorFigueiredo, Lino Manuel Baptista
dc.contributor.authorPinto, Rúben Ivan Ribeiro
dc.date.accessioned2023-12-20T08:52:59Z
dc.date.available2023-12-20T08:52:59Z
dc.date.issued2023-11-07
dc.description.abstractThis dissertation presents the development of a prototype pill dispenser with the aim of combating the common problem of non-compliance and lack of adherence to medication regimes. In order to make the device more autonomous, the growing capabilities of neural networks and the computing power of microcomputers such as the Raspberry Pi were explored. The integration of Facial Recognition and Speech Recognition models into these microcomputers was investigated. These solutions offer significant improvements, including greater security and a more accessible interaction experience for users. During the course of this project, Facial Recognition models were trained, and their performance evaluated using robust metrics such as the F1-Score and the ROC curve. We also studied how these models can be effectively applied to a drug dispensing system and microcomputers. In addition, a comprehensive analysis of the application of pre-trained Speech Recognition models was carried out. This work represents an important step towards improving the effectiveness and accessibility of drug dispensing systems, contributing to greater patient adherence to their medication regimes.pt_PT
dc.identifier.tid203414527pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/24305
dc.language.isoporpt_PT
dc.subjectInteligência Artificialpt_PT
dc.subjectDeep Learningpt_PT
dc.subjectFacial Recognitionpt_PT
dc.subjectRaspberry Pipt_PT
dc.subjectSpeech Recognitionpt_PT
dc.titleSistema de Apoio para Medicação de Idosos com Recurso ao Reconhecimento de Fala e Facialpt_PT
dc.title.alternativeSupport System for Medication of Elderly Using Speech and Facial Recognitionpt_PT
dc.typemaster thesis
dspace.entity.typePublication
rcaap.rightsopenAccesspt_PT
rcaap.typemasterThesispt_PT
thesis.degree.nameEngenharia Electrotécnica e de Computadorespt_PT

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