Assessing physical activity and functional fitness level using convolutional neural networks

Older adults are related to a reduction in physical functionality, as a result of a musculoskeletal system degeneration. In that way, physical exercise has been stated as a suitable intervention to prevent such health problems. Therefore, an adequate assessment of the physical activity and functiona...

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Bibliographic Details
Published in:	Knowledge-based systems Vol. 185; p. 104939
Main Authors:	Galán-Mercant, Alejandro, Ortiz, Andrés, Herrera-Viedma, Enrique, Tomas, Maria Teresa, Fernandes, Beatriz, Moral-Munoz, Jose A.
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier B.V 01.12.2019 Elsevier Science Ltd
Subjects:	Acceleration Accelerometers Adults Anthropometry Artificial neural networks Body height Body mass index Body size Body weight Deep Convolutional Autoencoder/sep Convolutional Network Deep learning Degeneration Exercise Functional fitness Health problems Health services Inertial signal Intervention Learning Machine learning Musculoskeletal system Neural networks Older people Physical ability Physical activity Physical exercise Physical fitness Deep learning Inertial signal Deep Convolutional Autoencoder/sep Convolutional Network Physical activity Functional fitness
ISSN:	0950-7051, 1872-7409
Online Access:	Get full text
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