Calibrating Wrist-Worn Accelerometers for Physical Activity Assessment in Preschoolers: Machine Learning Approaches is a research paper published in JMIR Formative Research (2020). On theSindex it has a DataRank of 0. It has been cited 12 times.
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NIDDK NIH HHS
Grant: R01 DK109323
National Institutes of Health
Grant: 5R01DK109323-02
Obesity Prevention in Head Start: The Miranos! Program
Keywords
Additional file 1 of Systematic review of accelerometer-based methods for 24-h physical behavior assessment in young children (0–5 years old)
Additional file 1 of Systematic review of accelerometer-based methods for 24-h physical behavior assessment in young children (0–5 years old)
Additional file 2 of Systematic review of accelerometer-based methods for 24-h physical behavior assessment in young children (0–5 years old)
Additional file 2 of Systematic review of accelerometer-based methods for 24-h physical behavior assessment in young children (0–5 years old)
Additional file 3 of Systematic review of accelerometer-based methods for 24-h physical behavior assessment in young children (0–5 years old)
Additional file 3 of Systematic review of accelerometer-based methods for 24-h physical behavior assessment in young children (0–5 years old)