most citedSelf-supervised Learning for Human Activity Recognition Using 700,000 Person-days of Wearable Data

144 citations · 144 across the 1 of their papers we have counts for

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1 paper

eess.SP2022★ 144 cited

Self-supervised Learning for Human Activity Recognition Using 700,000 Person-days of Wearable Data

Hang Yuan, Shing Chan, Andrew P. Creagh +4

Advances in deep learning for human activity recognition have been relatively limited due to the lack of large labelled datasets. In this study, we leverage self-supervised learnin…