144 citations · 145 across the 3 of their papers we have counts for
3 papers
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…
cs.HC2024★ 1 cited
CAPTURE-24: A large dataset of wrist-worn activity tracker data collected in the wild for human activity recognition
Shing Chan, Hang Yuan, Catherine Tong +4
Existing activity tracker datasets for human activity recognition are typically obtained by having participants perform predefined activities in an enclosed environment under super…
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…