Results 11 to 20 of about 161,184 (203)

Optomechanical Accelerometers for Geodesy

open access: yesRemote Sensing, 2022
We present a novel optomechanical inertial sensor for low-frequency applications and corresponding acceleration measurements. This sensor has a resonant frequency of 4.715 (1) Hz, a mechanical quality factor of 4.76(3) × 105, a test mass of 2.6 g, and a projected noise floor of approximately 5 × 10−11 ms−2/Hz at 1 Hz.
Adam S. Hines   +6 more
openaire   +3 more sources

Sleep classification from wrist-worn accelerometer data using random forests

open access: yesScientific Reports, 2021
Accurate and low-cost sleep measurement tools are needed in both clinical and epidemiological research. To this end, wearable accelerometers are widely used as they are both low in price and provide reasonably accurate estimates of movement.
Kalaivani Sundararajan   +11 more
semanticscholar   +1 more source

GRANADA consensus on analytical approaches to assess associations with accelerometer-determined physical behaviours (physical activity, sedentary behaviour and sleep) in epidemiological studies

open access: yesBritish Journal of Sports Medicine, 2021
The inter-relationship between physical activity, sedentary behaviour and sleep (collectively defined as physical behaviours) is of interest to researchers from different fields.
J. Migueles   +13 more
semanticscholar   +1 more source

Fabrication of a Miniaturized ZnO Nanowire Accelerometer and Its Performance Tests

open access: yesSensors, 2016
This paper reports a miniaturized piezoelectric accelerometer suitable for a small haptic actuator array. The accelerometer is made with zinc oxide (ZnO) nanowire (NW) grown on a copper wafer by a hydrothermal process.
Hyun Chan Kim, Sangho Song, Jaehwan Kim
doaj   +1 more source

Accelerometer-derived physical activity and risk of atrial fibrillation.

open access: yesEuropean Heart Journal, 2021
AIMS Physical activity may be an important modifiable risk factor for atrial fibrillation (AF), but associations have been variable and generally based on self-reported activity.
S. Khurshid   +9 more
semanticscholar   +1 more source

A Model of Gravity Vector Measurement Noise for Estimating Accelerometer Bias in Gravity Disturbance Compensation

open access: yesSensors, 2018
Compensation of gravity disturbance can improve the precision of inertial navigation, but the effect of compensation will decrease due to the accelerometer bias, and estimation of the accelerometer bias is a crucial issue in gravity disturbance ...
Junbo Tie   +5 more
doaj   +1 more source

A Novel Calibration Method for Gyro-Accelerometer Asynchronous Time in Foot-Mounted Pedestrian Navigation System

open access: yesSensors, 2021
Pedestrian Navigation System (PNS) is one of the research focuses of indoor positioning in GNSS-denied environments based on the MEMS Inertial Measurement Unit (MIMU). However, in the foot-mounted pedestrian navigation system with MIMU or mobile phone as
Tianyu Chen   +4 more
doaj   +1 more source

GGIR: A Research Community–Driven Open Source R Package for Generating Physical Activity and Sleep Outcomes From Multi-Day Raw Accelerometer Data

open access: yesJournal for the Measurement of Physical Behaviour, 2019
Recent technological advances have transformed the research on physical activity initially based on questionnaire data to the most recent objective data from accelerometers.
J. Migueles   +4 more
semanticscholar   +1 more source

Robust Optimization of a MEMS Accelerometer Considering Temperature Variations

open access: yesSensors, 2015
A robust optimization approach for a MEMS accelerometer to minimize the effects of temperature variations is presented. The mathematical model of the accelerometer is built.
Guangjun Liu   +3 more
doaj   +1 more source

Accelerometer Data Collection and Processing Criteria to Assess Physical Activity and Other Outcomes: A Systematic Review and Practical Considerations

open access: yesSports Medicine, 2017
BackgroundAccelerometers are widely used to measure sedentary time, physical activity, physical activity energy expenditure (PAEE), and sleep-related behaviors, with the ActiGraph being the most frequently used brand by researchers.
J. Migueles   +8 more
semanticscholar   +1 more source

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