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accelerometer based activity data  (Axivity Ltd)

 
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    Axivity Ltd accelerometer based activity data
    Accelerometer Based Activity Data, supplied by Axivity Ltd, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/accelerometer+data/accelerometer+triaxial/pm41740925-199-12-15
    Average 86 stars, based on 1 article reviews
    accelerometer based activity data - by Bioz Stars, 2026-09
    86/100 stars

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    Related Articles

    other:

    Article Title: Daily-Life Walking Characteristics of Older Adults in Relation to Age, Sex, and Physical Function: the HUNT4 Trondheim 70+ Observational Study.
    Article Snippet: Methods: The current study is based on 1-week accelerometer data (Axivity AX3) from 1289 older adults (mean age 77.41, SD 6.06 years; age range 70‐105 years; n=705, 54.7% women).

    Article Title: Daily-Life Walking Characteristics of Older Adults in Relation to Age, Sex, and Physical Function: the HUNT4 Trondheim 70+ Observational Study
    Article Snippet: The current study is based on 1-week accelerometer data (Axivity AX3) from 1289 older adults (mean age 77.41, SD 6.06 years; age range 70‐105 years; n=705, 54.7% women).

    Activity Assay:

    Article Title: Strengthening active outdoor living among children residing in two disadvantaged neighbourhoods in Copenhagen, Denmark: a mixed methods study protocol for the Happy Healthy Active Children initiative
    Article Snippet: .. Accelerometer data from the Axivity AX3 devices are processed to determine daily time spent per day in each of the three physical activity intensity levels: sedentary, light and moderate-to-vigorous physical activity. ..



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    Image Search Results


    Devices used in the study: A wearable camera was used to provide visual confirmation of human behavior performed in the wild. We utilized the smartwatch tri-axial accelerometer and gyroscope to estimate energy expenditure using our proposed algorithm and compared it against multiple algorithms , , , , – using the hip-worn ActiGraph.

    Journal: Scientific Reports

    Article Title: Developing and comparing a new BMI inclusive energy expenditure algorithm on wrist-worn wearables

    doi: 10.1038/s41598-025-99963-0

    Figure Lengend Snippet: Devices used in the study: A wearable camera was used to provide visual confirmation of human behavior performed in the wild. We utilized the smartwatch tri-axial accelerometer and gyroscope to estimate energy expenditure using our proposed algorithm and compared it against multiple algorithms , , , , – using the hip-worn ActiGraph.

    Article Snippet: \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$K_m$$\end{document} motion estimates of accelerometer data segments are calculated by the Panasonic equation and aggregated based on the selected window size (Eq.).

    Techniques: