Application of Raw Accelerometer Data and Machine-Learning Techniques to Characterize Human Movement Behavior: A Systematic Scoping Review.

Anantha NarayananFarzanah DesaiTom Stewart Scott Duncan Lisa Mackay

Published in: Journal of physical activity & health (2020)

Machine-learning algorithms demonstrate good accuracy when predicting physical activity components; however, their application to free-living settings is currently uncertain.

Keyphrases

machine learning
physical activity
big data
artificial intelligence
endothelial cells
deep learning
electronic health record
body mass index
induced pluripotent stem cells
depressive symptoms
sleep quality