Statistical and Machine Learning Models for Classification of Human Wear and Delivery Days in Accelerometry Data

Accelerometers are increasingly being used in biomedical research, but the analysis of accelerometry data is often complicated by both the massive size of the datasets and the collection of unwanted data from the process of delivery to study participants. Current methods for removing delivery data i...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Ryan Moore, Kristin R. Archer, Leena Choi
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	MDPI AG 2021-04-01
Sarja:	Sensors
Aiheet:	accelerometry statistical learning machine learning predictive modeling neural networks physical activity
Linkit:	https://www.mdpi.com/1424-8220/21/8/2726
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