CASAS ArWISE smartwatch raw motion dataset - free living, activity labels: Volume 2
Authors/Creators
Contributors
Data collector (2):
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
Files
s03.zip
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
- Repository URL
- https://github.com/WSU-CASAS