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Systematic review demonstrates the effectiveness of machine learning for monitoring physical activity in children, suggesting its potential for health promotion.
Reported accuracies ranged from approximately 70% to 99%, demonstrating the strong potential of wearable sensor data combined with ML to objectively monitor and assess school-related physical activity.
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Rico-González et al. (2026) studied this question.
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