PAMAP2 Physical Activity Monitoring Dataset
Abstract
"High-frequency wearable sensor data from 9 subjects performing 18 different daily and sports activities, recorded with three 100 Hz IMUs and a heart rate monitor.[web:125][web:128][web:138][web:142]"
Description
Overview
The PAMAP2 Physical Activity Monitoring dataset includes real sensor data from 9 participants performing a mix of everyday and sports activities while instrumented with body-worn inertial measurement units (IMUs) and a heart rate monitor.[web:125][web:128][web:138]
Data Collection
- Each subject performed up to 18 activities such as walking, running, cycling, climbing stairs, ironing, vacuum cleaning, and playing soccer.[web:125][web:128]
- Three wireless IMUs were placed on the dominant wrist, chest, and dominant ankle, and an additional device recorded heart rate.[web:125][web:128][web:152]
- IMU signals were sampled at 100 Hz, while heart rate was recorded at approximately 9 Hz.[web:128][web:140][web:152]
Signals, Format, and Files
- Each IMU provides tri-axial accelerometer, gyroscope, and magnetometer readings, plus temperature, giving 52 raw sensory attributes in total when combined with heart rate.[web:128][web:152]
- Data are stored in space-separated
.datfiles, one file per subject per session (protocol or optional), where each line has a timestamp, activity label, and the 52 sensor values.[web:128][web:138][web:142] - Missing sensor values are indicated with
NaN, and the readme file documents the activity codes and column order in detail.[web:128][web:142]
Use Cases
- Research on human activity recognition and activity intensity estimation using multi-sensor wearables.[web:125][web:128][web:155]
- Evaluation of segmentation, feature extraction, and deep learning pipelines on high-frequency wearable IoT data.[web:125][web:128][web:152]
- Benchmarking sensor fusion and domain adaptation methods across subjects and activity types.[web:128][web:140][web:152]
License and Terms
The official readme states that the dataset is freely available for academic research with no legal constraints on using the data for scientific purposes, provided that users cite the recommended references.[web:142][web:152]
📊 View Data Structure
To explore column names, data types, and sample rows, visit the official dataset page on UCI Machine Learning Repository.
Preview on UCI Machine Learning Repository
Cite This Dataset
Reiss, Attila et al. (2012). PAMAP2 Physical Activity Monitoring Dataset. [Dataset]. UCI Machine Learning Repository. https://archive.ics.uci.edu/dataset/231/pamap2+physical+activity+monitoring
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Original source: UCI Machine Learning Repository (2012). Visit official page for more details.
Indexed by IoTDataset.com on Jan 28, 2026
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