2023
DOI: 10.3390/electronics12234772
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An Unsupervised Method to Recognise Human Activity at Home Using Non-Intrusive Sensors

Raúl Gómez-Ramos,
Jaime Duque-Domingo,
Eduardo Zalama
et al.

Abstract: As people get older, living at home can expose them to potentially dangerous situations when performing everyday actions or simple tasks due to physical, sensory or cognitive limitations. This could compromise the residents’ health, a risk that in many cases could be reduced by early detection of the incidents. The present work focuses on the development of a system capable of detecting in real time the main activities of daily life that one or several people can perform at the same time inside their home. The… Show more

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Cited by 4 publications
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