Age Differences in Estimating Physical Activity by Wrist Accelerometry Using Machine Learning

Accelerometer-based fitness trackers and smartwatches are proliferating with incessant attention towards health tracking. Despite their growing popularity, accurately measuring hallmark measures of physical activities has yet to be accomplished in adults of all ages. In this work, we evaluated the p...

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Hlavní autoři:	Mamoun T. Mardini, Chen Bai, Amal A. Wanigatunga, Santiago Saldana, Ramon Casanova, Todd M. Manini
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2021-05-01
Edice:	Sensors
Témata:	wrist accelerometer physical activity energy expenditure machine learning random forest
On-line přístup:	https://www.mdpi.com/1424-8220/21/10/3352
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