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Search results (3)

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

Small SR. et al, (2024), Med Sci Sports Exerc, 56, 1945 - 1953

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)

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Search results (3)

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

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

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

Leading Human Health Forward