Abstract
"Recordings of 30 subjects performing daily activities while carrying a waist-mounted smartphone with inertial sensors."
Description
The experiments have been carried out with a group of 30 volunteers. Each person performed six activities (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING).
Data Preview
| tBodyAcc-mean()-X | tBodyAcc-mean()-Y | tBodyAcc-mean()-Z | tGravityAcc-mean()-X | Activity_Label |
|---|---|---|---|---|
| 0.28858 | -0.02029 | -0.13290 | -0.99527 | STANDING |
| 0.27841 | -0.01641 | -0.12352 | -0.99822 | STANDING |
| 0.27965 | -0.01946 | -0.11346 | -0.99537 | STANDING |
| 0.27917 | -0.02620 | -0.12328 | -0.99609 | STANDING |
| 0.27662 | -0.01656 | -0.11536 | -0.99813 | STANDING |
Showing first few rows for preview
Cite This Dataset
External (2026). Human Activity Recognition. [Dataset]. External. https://archive.ics.uci.edu/dataset/240/human+activity+recognition+using+smartphones
Source: External (2026)
Indexed by IoTDataset.com on Jan 07, 2026
Ready to Start Your Research?
Download this dataset directly from the official repository and start building your next breakthrough project.