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accelerometer data  (ActiGraph llc)

 
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    ActiGraph llc accelerometer data
    Accelerometer Data, supplied by ActiGraph llc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/accelerometer+data/accelerometer+data/pmc04274159-105-20-19
    Average 90 stars, based on 1 article reviews
    accelerometer data - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    Activity Assay:

    Article Title: Exploratory study to evaluate the acceptability of a wearable accelerometer to assess motor progression in motor neuron disease.
    Article Snippet: .. Daily activity across the 24-h wear periods were measured in the form of VM counts, combining accelerometer sensor data from both wrist and ankle-worn ActiGraph devices, to provide an overall datapoint to represent general physical activity. ..

    other:

    Article Title: Physical Literacy for Communities (PL4C): physical literacy, physical activity and associations with wellbeing.
    Article Snippet: Accelerometer data of 336 participants were downloaded and processed on ActiLife v. 6.13.4 (ActiGraph, Pensacola, FL).

    Article Title: Fundament for a methodological standard to process hip accelerometer data to a measure of physical activity intensity in middle-aged individuals.
    Article Snippet: In addition to different samples investigated, these studies processed the accelerometer data with the narrow ActiGraph filter.

    Software:

    Article Title: GoBot Go! Using a Custom Assistive Robot to Promote Physical Activity in Children
    Article Snippet: .. ActiGraph Data: We first extracted the accelerometer and gyroscope data from the ActiGraph sensor using the ActiLife version 6.13.4 software. ..



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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: