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Xiaomi Inc triaxial accelerometer data
Triaxial Accelerometer Data, supplied by Xiaomi Inc, 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/pmc13050656-161-41-46
Average 86 stars, based on 1 article reviews
triaxial accelerometer data - by Bioz Stars, 2026-09
86/100 stars

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Related Articles

Activity Assay:

Article Title: Prospective observational study on behavioral monitoring, disease progression assessment, and screening model development for patients with depression using wearable devices and mobile phones: protocol
Article Snippet: Cardiovascular signals were sampled continuously or at regular intervals (approximately every 10 minutes) using the built-in PPG sensor, and minute-level summaries were exported via the Xiaomi Health mobile application. .. Third, physical activity and sedentary behavior ( ) included daily step count, estimated energy expenditure (kcal), and sedentary events, defined as continuous sedentary periods exceeding 30 minutes as identified by sustained low movement on the accelerometer, with all metrics derived from triaxial accelerometer data processed using Xiaomi’s proprietary algorithms. ..

Derivative Assay:

Article Title: Prospective observational study on behavioral monitoring, disease progression assessment, and screening model development for patients with depression using wearable devices and mobile phones: protocol
Article Snippet: Cardiovascular signals were sampled continuously or at regular intervals (approximately every 10 minutes) using the built-in PPG sensor, and minute-level summaries were exported via the Xiaomi Health mobile application. .. Third, physical activity and sedentary behavior ( ) included daily step count, estimated energy expenditure (kcal), and sedentary events, defined as continuous sedentary periods exceeding 30 minutes as identified by sustained low movement on the accelerometer, with all metrics derived from triaxial accelerometer data processed using Xiaomi’s proprietary algorithms. ..

other:

Article Title: How do you sleep? Using off the shelf wrist wearables to estimate sleep quality, sleepiness level, chronotype and sleep regularity indicators
Article Snippet: Wearable technology (Crabtree and Rhodes 1998; K Tehrani 2014) refers to electronic devices and systems incorporated in some part of our body or clothes.. Nowadays, smartwatches, sneakers with built-in GPS or wristbands are examples of this technology that are becoming popular as a new kind of off the shelf electronics.. These systems can be used for different purposes, particularly to monitor physiological and environmental data.



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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 <t>accelerometer</t> and gyroscope to estimate energy expenditure using our proposed algorithm and compared it against multiple algorithms , , , , – using the hip-worn ActiGraph.
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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: