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Capture-24: Activity tracker dataset for human activity recognition

Population Size

151

People

Population Size statistic card

Years

2014 - 2016

Years statistic card

Associated BioSamples

None/not available

Associated BioSamples statistic card

Geographic coverage

United Kingdom

England

...see more

Geographic coverage statistic card

Lead time

Not applicable

Lead time statistic card

Summary

This dataset contains wrist-worn activity tracker data collected from 151 participants for a period of roughly 24hs in natural settings, annotated using wearable cameras and sleep diaries.

DOI for dataset

https://doi.org/10.5287/bodleian:NGx0JOMP5

Documentation

This dataset contains Axivity AX3 wrist-worn activity tracker data that were collected from 151 participants in 2014-2016 around the Oxfordshire area. Participants were asked to wear the device in daily living for a period of roughly 24 hours, amounting to a total of almost 4,000 hours. Vicon Autograph wearable cameras and Whitehall II sleep diaries were used to obtain the ground truth activities performed during the period (e.g. sitting watching TV, walking the dog, washing dishes, sleeping), resulting in more than 2,500 hours of labelled data. Accompanying code to analyse this data is available at https://github.com/activityMonitoring/capture24. The following papers describe the data collection protocol in full: i.) Gershuny J, Harms T, Doherty A, Thomas E, Milton K, Kelly P, Foster C (2020) Testing self-report time-use diaries against objective instruments in real time. Sociological Methodology doi: 10.1177/0081175019884591; ii.) Willetts M, Hollowell S, Aslett L, Holmes C, Doherty A. (2018) Statistical machine learning of sleep and physical activity phenotypes from sensor data in 96,220 UK Biobank participants. Scientific Reports. 8(1):7961. Regarding Data Protection, the Clinical Data Set will not include any direct subject identifiers. However, it is possible that the Data Set may contain certain information that could be used in combination with other information to identify a specific individual, such as a combination of activities specific to that individual ("Personal Data"). Accordingly, in the conduct of the Analysis, users will comply with all applicable laws and regulations relating to information privacy. Further, the user agrees to preserve the confidentiality of, and not attempt to identify, individuals in the Data Set.

Dataset type

Health and disease

Dataset sub-type

Not applicable

Dataset population size

151

Associated media

https://journals.sagepub.com/doi/full/10.1177/0081175019884591https://www.nature.com/articles/s41598-018-26174-1https://github.com/activityMonitoring/capture24

Keywords

Observations

Observed Node

Disambiguating Description

Measured Value

Measured Property

Observation Date

Persons

Number of participants in the study after quality control filtering

151

Count

31 Dec 2021

Provenance

Purpose of dataset collection

Study

Collection source setting

Other

Patient pathway description

N/A

Image contrast

Not stated

Biological sample availability

None/not available

Structural Metadata

Details

Publishing frequency

Static

Version

1.0.0

Modified

08/10/2024

Citation Requirements

University of Oxford

Coverage

Start date

01/01/2014

End date

31/12/2016

Time lag

Not applicable

Geographic coverage

United Kingdom, England, South East, South Oxfordshire, West Oxfordshire

Minimum age range

18

Maximum age range

91

Follow-up

0 - 6 Months

Accessibility

Language

en

Controlled vocabulary

OTHER

Format

text

Data Access Request

Dataset pipeline status

Not available

Access rights

https://ora.ox.ac.uk/objects/uuid:99d7c092-d865-4a19-b096-cc16440cd001

Time to dataset access

Not applicable

Access request cost

N/A

Access service description

The data is hosted by the Oxford University Research Archive and access is free.

Jurisdiction

GB-ENG

Data use limitation

General research use

Data Controller

University of Oxford

Data Processor

University of Oxford

Dataset Types: Health and disease

Collection Sources: Other

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