Are Machine Learning Models on Wrist Accelerometry Robust against Differences in Physical Performance among Older Adults?

Sufficient physical activity (PA) reduces the risk of a myriad of diseases and preserves physical capabilities in later life. While there have been significant achievements in mapping accelerations to real‐life movements using machine learning (ML), errors continue to be common, particularly for wri...

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Bibliographic Details
Main Authors:	Bai, C. (Author), Casanova, R. (Author), Manini, T.M (Author), Mardini, M.T (Author), Saldana, S. (Author), Wanigatunga, A.A (Author)
Format:	Article
Language:	English
Published:	MDPI 2022
Subjects:	accelerometer Accelerometers Electric batteries Energy energy ex-penditure Energy expenditure Energy ex-penditure eXtreme Gradient Boosting Extreme gradient boosting Gradient boosting Machine learning Machine learning models Mean square error physical activity Physical activity Physical performance short physical performance battery Short physical performance battery Walking aids wrist Wrist
Online Access:	View Fulltext in Publisher

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Are Machine Learning Models on Wrist Accelerometry Robust against Differences in Physical Performance among Older Adults?

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