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A “one-size-fits-most” walking recognition method for smartphones, smartwatches, and wearable accelerometers

The ubiquity of personal digital devices offers unprecedented opportunities to study human behavior. Current state-of-the-art methods quantify physical activity using “activity counts,” a measure which overlooks specific types of physical activities. We propose a walking recognition method for sub-s...

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Detalles Bibliográficos
Autores principales: Straczkiewicz, Marcin, Huang, Emily J., Onnela, Jukka-Pekka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9950089/
https://www.ncbi.nlm.nih.gov/pubmed/36823348
http://dx.doi.org/10.1038/s41746-022-00745-z