Overview over the different datasets and how they were used in this study.

<p>For each dataset, the key demographic features, which sensors were used and the target variable on which the model was evaluated are shown.</p>

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Bibliographic Details
Main Author:	Marc Weitz (8131560) (author)
Other Authors:	Shaheen Syed (6987770) (author), Laila A. Hopstock (8072348) (author), Bente Morseth (3454490) (author), André Henriksen (20783199) (author), Alexander Horsch (405483) (author)
Published:	2025
Subjects:	Medicine Biotechnology Space Science Biological Sciences not elsewhere classified troms &# 248 related research questions neural network model monitor movement patterns g ., predicted 24 &# 8201 worn acceleration signals usually either worn xlink "> accelerometers wearable data obtained two additional datasets already collected data additionally assess sleep sedentary time needs placement like time trained model fundamentally large epidemiological studies demographically different population assess physical activity point even sleep sedentary time analyses wrongly worn accelerometer study </ p worn accelerometers physical activity unseen data training data starting point longitudinal analyses additional noise underestimated time automatic time widely neglected task due sophisticated methods several days recently got random croping particular days overall good new method living conditions introduced new improve training generalization performance frequently used comparable results analysis options algorithm achieved
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