AIMC Topic: Jogging

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Improving energy expenditure estimates from wearable devices: A machine learning approach.

Journal of sports sciences Apr 6, 2020
A means of quantifying continuous, free-living energy expenditure (EE) would advance the study of bioenergetics. The aim of this study was to apply a non-linear, machine learning algorithm (random forest) to predict minute level EE for a range of act...
Humans Machine Learning Algorithms Female Adult Male Middle Aged Exercise Body Mass Index Body Composition Walking Activities of Daily Living Heart Rate Energy Metabolism Body Temperature Accelerometry Fitness Trackers Calorimetry, Indirect Sedentary Behavior Bicycling Galvanic Skin Response Jogging
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Automatic machine-learning based identification of jogging periods from accelerometer measurements of adolescents under field conditions.

PloS one Sep 7, 2017
BACKGROUND: Assessment of health benefits associated with physical activity depend on the activity duration, intensity and frequency, therefore their correct identification is very valuable and important in epidemiological and clinical studies. The a...
Humans Machine Learning Algorithms Adolescent Models, Theoretical Databases as Topic Automation Accelerometry Jogging
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