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Comparability of accelerometry outcomes across popular metrics and widespread sensor positions

Olfermann, Robin 1; Ebner-Priemer, Ulrich 1; Reichert, Markus 1; Giurgiu, Marco 1; Bertozzi, Filippo [Hrsg.]
1 Institut für Sport und Sportwissenschaft (IfSS), Karlsruher Institut für Technologie (KIT)

Abstract:

Accelerometry is a state-of-the-art procedure to capture physical activity. However, the large variety of accelerometry metrics and wearing positions hamper the comparability of outcomes. Since this is a well-known challenge, we investigated how outcomes can be translated across four metrics and six sensor positions. Twenty healthy adults conducted 32 structured and semi-structured activities while wearing accelerometers at the hip, chest, thigh, wrist, ankle, and upper arm. The raw data was converted into four common metrics: Movement Acceleration Intensity (MAI), Euclidean Norm Minus One (ENMO), Mean Amplitude Deviation (MAD) and counts per minute (CPM), as computed by the Actigraph GT3X+ algorithm. Relationships between acceleration metrics and sensor positions were quantified via Pearson correlations and scatterplots. Our results show that nearby sensor positions were highly correlated (e.g., MAD hip and thigh: r = .96), while correlations between more distant sensor positions were weaker and less linear (e.g., MAD wrist and thigh: r = .80). Correlations between MAI, MAD and ENMO were high (r = .9), while correlations between CPM and other metrics were substantially lower (r = .78), less linear, and influenced by activity type. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000189001
Veröffentlicht am 18.12.2025
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Sport und Sportwissenschaft (IfSS)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2025
Sprache Englisch
Identifikator ISSN: 1932-6203
KITopen-ID: 1000189001
Erschienen in PLOS One
Verlag Public Library of Science (PLoS)
Band 20
Heft 12
Seiten e0337897
Vorab online veröffentlicht am 03.12.2025
Nachgewiesen in Scopus
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