Published May 22, 2026 | Version v1
Dataset Open

CASAS ArWISE smartwatch raw motion dataset - free living, activity labels: Volume 2

Contributors

Description

The Activity recognition from in-the-WIld SmartwatchEs (ArWISE) dataset is based on sensor data and activity labels collected from smart watches. Sensor data consist of timestamped 10Hz accelerometer and gyroscope readings. Portions of the data are annotated with user-provided labels of their current activity.

Note: Other CASAS smart home and smartwatch datasets are also available, look for more at https://zenodo.org/communities/casas. Additional information about this dataset is available at https://zenodo.org/records/15794726 (doi: 10.5821/zenodo.15794726), datasets s3 and s4.

Csv files for each person’s data are organized into zip files by study collection dates. In cases where the same number is used for files ending in "b" and "w", "b" represents a watch worn while sleeping and "w" is the daytime watch. Volume 2 contains data collected for 19 participants, representing 2 distinct data collections. Each file includes a header with feature names. 

 

Features

  • stamp: date and time of the sensor reading (string)
  • yaw, pitch, roll, rotation_rate_x, rotation_rate_y, rotation_rate_z, user_acceleration_x, user_acceleration_y, user_acceleration_z: 3d movement (float)
  • user_activity_label: string

Notes

Citation: Please cite the following paper when using this dataset:


Minor, B., Greeley, C., Holder, R., Thomas, B., Holder, L., & Cook, D. (2025). A feature-augmented transformer model to recognize functional activities from in-the-wild smartwatch data. IEEE Journal of Behavioral and Health Informatics. https://doi.org/10.1109/JBHI.2025.3586074

Files

s03.zip

Files (44.0 GB)

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md5:ed589e93ec3c5b6e60641552bf27b418
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md5:f221ed0ef0e5ba88ff21cab75acdaf84
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Additional details

Funding

National Institute on Aging
R25AG046114
National Institute on Aging
R35AG071451
National Institute on Aging
R01AG065218
U.S. National Science Foundation
1954372

Software