most citedCAPTURE-24: A large dataset of wrist-worn activity tracker data collected in the wild for human activity recognition

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cs.LG2025

ActiNet: An Open-Source Tool for Activity Intensity Classification of Wrist-Worn Accelerometry Using Self-Supervised Deep Learning

Aidan Acquah, Shing Chan, Aiden Doherty

The use of accurate and reliable open-source human activity recognition (HAR) models on passively collected wrist-accelerometer data is essential in large-scale epidemiological stu…