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