Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

Search results (3)

« Back to Publications

Self-Supervised Machine Learning to Characterize Step Counts from Wrist-Worn Accelerometers in the UK Biobank.

Small SR. et al, (2024), Medicine and science in sports and exercise, 56, 1945 - 1953

Self-supervised learning for human activity recognition using 700,000 person-days of wearable data.

Yuan H. et al, (2024), NPJ digital medicine, 7

Capture-24: Activity tracker dataset for human activity recognition - Temperature & light sensor data

CHAN CHANG S. and DOHERTY A., (2023)