English
Ciência-IUL
Publicações
Descrição Detalhada da Publicação
A real-time algorithm to detect falls in the elderly
13th IEEE International Symposium on Medical Measurements and Applications, MeMeA 2018
Ano (publicação definitiva)
2018
Língua
Inglês
País
Itália
Mais Informação
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Abstract/Resumo
Falls in the elderly are a major health and economic problem. Hence, reliable fall detection is of great importance. Many fall detection systems have been developed but this topic is still under reach. In this work, a smart sensor based on a tri-axial digital accelerometer and a microcontroller Wi-Fi module are used to detect changes in acceleration that occur when a human being is falling. A novel real-time algorithm to distinguish between falls and daily activities is proposed. The prototype can easily connect to the internet of things thus expanding its applications. The experimental results have demonstrated high sensitivity and specificity on human fall detection.
Agradecimentos/Acknowledgements
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Palavras-chave
Accelerometer,Elderly home care,Fall detector,Motion detection analysis,Pattern recognition
Classificação Fields of Science and Technology
- Ciências da Computação e da Informação - Ciências Naturais
- Engenharia Eletrotécnica, Eletrónica e Informática - Engenharia e Tecnologia
- Engenharia Médica - Engenharia e Tecnologia
Registos de financiamentos
| Referência de financiamento | Entidade Financiadora |
|---|---|
| UID/EEA/50008/2013 | Fundação para a Ciência e a Tecnologia |
