Shing Chan

ActiNet: an open-source tool for activity intensity classification of wrist-worn accelerometry using self-supervised deep learning

Abstract 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 studies that investigate the association between physical activity and health outcomes. While...