IoT-Based Human Activity Recognition (HAR)
Catalog Summary
"Data from smartphone-based inertial sensors (Accelerometer/Gyroscope) used to classify human activities like walking, climbing, and laying."
Catalog Notes
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 |
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Cite This Catalog Record
IoTDataset.com (2026). IoT-Based Human Activity Recognition (HAR) — catalog record. [Dataset]. IoTDataset.com. https://iotdataset.com/data/iot-human-activity-recognition
The publisher's preferred dataset citation is not recorded. The text above cites this IoTDataset.com catalog record, not the underlying dataset.
Catalog publisher: IoTDataset.com (2026)
Indexed by IoTDataset.com on Jan 10, 2026
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