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...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Knowledge-based systems Jg. 185; S. 104939
Hauptverfasser:	Galán-Mercant, Alejandro, Ortiz, Andrés, Herrera-Viedma, Enrique, Tomas, Maria Teresa, Fernandes, Beatriz, Moral-Munoz, Jose A.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier B.V 01.12.2019 Elsevier Science Ltd
Schlagworte:	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-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!