most citedClassification of 24-hour movement behaviors from wrist-worn accelerometer data: from handcrafted features to deep learning techniques

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cs.LG2025★ 1 cited

Classification of 24-hour movement behaviors from wrist-worn accelerometer data: from handcrafted features to deep learning techniques

Alireza Sameh, Mehrdad Rostami, Mourad Oussalah +1

Purpose: We compared the performance of deep learning (DL) and classical machine learning (ML) algorithms for the classification of 24-hour movement behavior into sleep, sedentary,…