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An Architecture for Monitoring Elderly Using Digital Image Processing and Artificial Intelligence

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Detalhes bibliográficos
Resumo:The world population, on average, has seen its life expectancy increase. This phenomenon is causing the elderly population to grow. This reality has put pressure on the development of solutions - across a multidisciplinary spectrum - that are capable of helping the elderly in their daily lives. This assistance is especially important for elderly people who live alone and isolated - a common reality in many rural areas where there is a low population density. This work presents an architecture based on the use of digital image acquisition and processing associated with using Artificial Intelligence. This way, we can create solutions with easy deployment that do not disrupt the elderly’s normal day-to-day life and ensure that third parties accompany them. Even though the proposed architecture can be complemented with sensory aspects linked to the elderly person themselves, this component, as it is independent and easily incorporated, was not the object of study.
Autores principais:Cunha, Carlos R.
Outros Autores:Moreira, André; Fernandes, Joana M.S.R.
Assunto:Artificial intelligence Image digital processing Architecture Assistive technology Elderly
Ano:2024
País:Portugal
Tipo de documento:comunicação em conferência
Tipo de acesso:acesso restrito
Instituição associada:Instituto Politécnico de Bragança
Idioma:inglês
Origem:Biblioteca Digital do IPB
Descrição
Resumo:The world population, on average, has seen its life expectancy increase. This phenomenon is causing the elderly population to grow. This reality has put pressure on the development of solutions - across a multidisciplinary spectrum - that are capable of helping the elderly in their daily lives. This assistance is especially important for elderly people who live alone and isolated - a common reality in many rural areas where there is a low population density. This work presents an architecture based on the use of digital image acquisition and processing associated with using Artificial Intelligence. This way, we can create solutions with easy deployment that do not disrupt the elderly’s normal day-to-day life and ensure that third parties accompany them. Even though the proposed architecture can be complemented with sensory aspects linked to the elderly person themselves, this component, as it is independent and easily incorporated, was not the object of study.