Self-Supervised Machine Learning to Characterise Step Counts from Wrist-Worn Accelerometers in the UK Biobank.
Small SR. et al, (2024), Med Sci Sports Exerc
Self-supervised learning for human activity recognition using 700,000 person-days of wearable data.
Yuan H. et al, (2024), NPJ Digit Med, 7
Capture-24: Activity tracker dataset for human activity recognition - Temperature & light sensor data
CHAN CHANG S. and DOHERTY A., (2023)