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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...

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Principais autores: Esben Lykke Skovgaard, Jesper Pedersen, Niels Christian Møller, Anders Grøntved, Jan Christian Brønd
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2021-12-01
Serier:Sensors
Fag:
sleep
accelerometry
labeling
machine learning
physical activity
human behavior
Online adgang:https://www.mdpi.com/1424-8220/21/24/8442
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