Capture-24: Activity tracker dataset for human activity recognition
Shi-Kuo Chang, Doherty, Aiden · Oxford University Research Archive (ORA) (University of Oxford) · 2021
*** NB: This is an old version of the dataset which has now been superseded by a new version at: https://ora.ox.ac.uk/objects/uuid:99d7c092-d865-4a19-b096-cc16440cd001 with the DOI: 10.5287/bodleian:NGx0JOMP5 (resolving to https://doi.org/10.5287/bodleian:NGx0JOMP5) *** ------------------------------------------------------------------ Data and methods descriptions can be found in the following: Testing Self-Report Time-Use Diaries against Objective Instruments in Real Time https://journals.sagepub.com/doi/full/10.1177/0081175019884591 Statistical machine learning of sleep and physical activity phenotypes from sensor data in 96,220 UK Biobank participants https://www.nature.com/articles/s41598-018-26174-1