MHEALTH (Mobile Health) Dataset
Catalog Summary
"Body motion and vital signs recordings from volunteers performing physical activities, used for human behavior analysis and health monitoring."
Catalog Notes
IoMT Application
Benchmark dataset for human activity recognition using multimodal body sensing. Sensors are placed on the chest, right wrist, and left ankle.
Sensor Modalities
- Acceleration (X,Y,Z): Motion detection from 3 body points.
- ECG (Lead 1, Lead 2): Electrical heart activity.
- Gyroscope & Magnetometer: Orientation and rotation tracking.
Data Preview
| acc_chest_x | acc_chest_y | acc_chest_z | ecg_1 | ecg_2 | acc_ankle_x | label |
|---|---|---|---|---|---|---|
| -9.8184 | 0.0099 | 0.2956 | 0.0041 | 0.0041 | 2.1849 | 0 |
| -9.8489 | 0.5240 | 0.3734 | 0.0041 | 0.0041 | 2.3876 | 0 |
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Guides and analyses for this dataset
Read the linked methodology, interpretation, and reproducibility guidance before analysing or reusing this dataset.
Provided Citation
Banos, O., Garcia, R., & Saez, A. (2014). MHEALTH [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C5TW22.
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Source metadata: External (2026)
Indexed by IoTDataset.com on Jan 13, 2026
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