Composite activity type and stride-specific energy expenditure estimation model for thigh-worn accelerometry

Abstract Background Accurately measuring energy expenditure during physical activity outside of the laboratory is challenging, especially on a large scale. Thigh-worn accelerometers have gained popularity due to the possibility to accurately detect physical activity types. The use of machine learnin...

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Bibliographic Details

Published in:	International Journal of Behavioral Nutrition and Physical Activity
Main Authors:	Claas Lendt, Niklas Hansen, Ingo Froböse, Tom Stewart
Format:	Article
Language:	English
Published:	BMC 2024-09-01
Subjects:	Accelerometer Activity classification Human activity recognition Machine learning Prediction Validation
Online Access:	https://doi.org/10.1186/s12966-024-01646-y