Self-supervised learning for human activity recognition using 700,000 person-days of wearable data by Yuan, H, Chan, S, Creagh, AP, Tong, C, Acquah, A, Clifton, DA, Doherty, A

CAPTURE-24: A large dataset of wrist-worn activity tracker data collected in the wild for human activity recognition by Chan, S, Hang, Y, Tong, C, Acquah, A, Schonfeldt, A, Gershuny, J, Doherty, A

Self-supervised machine learning to characterise step counts from wrist-worn accelerometers in the UK Biobank by Small, SR, Chan, S, Walmsley, R, von Fritsch, L, Acquah, A, Mertes, G, Feakins, BG, Creagh, A, Strange, A, Matthews, CE, Clifton, DA, Price, AJ, Khalid, S, Bennett, D, Doherty, A