Manual Annotation of Time in Bed Using Free-Living Recordings of Accelerometry Data

With the emergence of machine learning for the classification of sleep and other human behaviors from accelerometer data, the need for correctly annotated data is higher than ever. We present and evaluate a novel method for the manual annotation of in-bed periods in accelerometer data using the open...

Полное описание

Библиографические подробности

Главные авторы:	Esben Lykke Skovgaard, Jesper Pedersen, Niels Christian Møller, Anders Grøntved, Jan Christian Brønd
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2021-12-01
Серии:	Sensors
Предметы:	sleep accelerometry labeling machine learning physical activity human behavior
Online-ссылка:	https://www.mdpi.com/1424-8220/21/24/8442
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