Abstract
"Data from smartphone-based inertial sensors (Accelerometer/Gyroscope) used to classify human activities like walking, climbing, and laying."
Description
Healthcare Context
HAR is essential for elderly monitoring and fitness tracking. This data represents 30 subjects performing daily activities with a waist-mounted smartphone.
Sensors:
- Triaxial Acceleration: Total acceleration (X, Y, Z).
- Triaxial Angular Velocity: Rotation speed (X, Y, Z).
Data Preview
| Acc_X | Acc_Y | Acc_Z | Gyro_X | Gyro_Y | Activity |
|---|---|---|---|---|---|
| 0.288 | -0.020 | -0.132 | -0.006 | -0.051 | Walking |
| 0.278 | -0.013 | -0.123 | -0.016 | -0.012 | Walking |
| 0.279 | -0.019 | -0.113 | -0.026 | 0.005 | Standing |
Showing first few rows for preview
Cite This Dataset
External (2026). IoT-Based Human Activity Recognition (HAR). [Dataset]. External. https://www.kaggle.com/datasets/uciml/human-activity-recognition-with-smartphones
Source: External (2026)
Indexed by IoTDataset.com on Jan 10, 2026
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