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PAMAP2 Physical Activity Monitoring Data Set
Download: Data Folder, Data Set Description

Abstract: The PAMAP2 Physical Activity Monitoring dataset contains data of 18 different physical activities, performed by 9 subjects wearing 3 inertial measurement units and a heart rate monitor.

Data Set Characteristics:  

Multivariate, Time-Series

Number of Instances:

3850505

Area:

Computer

Attribute Characteristics:

Real

Number of Attributes:

52

Date Donated

2012-08-06

Associated Tasks:

Classification

Missing Values?

Yes

Number of Web Hits:

15184


Source:

Attila Reiss, Department Augmented Vision, DFKI, Germany, attila.reiss '@' dfki.de
Date: August 2012.


Data Set Information:

The PAMAP2 Physical Activity Monitoring dataset contains data of 18 different physical activities (such as walking, cycling, playing soccer, etc.), performed by 9 subjects wearing 3 inertial measurement units and a heart rate monitor. The dataset can be used for activity recognition and intensity estimation, while developing and applying algorithms of data processing, segmentation, feature extraction and classification.

** Sensors **
3 Colibri wireless inertial measurement units (IMU):
- sampling frequency: 100Hz
- position of the sensors:
- 1 IMU over the wrist on the dominant arm
- 1 IMU on the chest
- 1 IMU on the dominant side's ankle
HR-monitor:
- sampling frequency: ~9Hz

** Data collection protocol **
Each of the subjects had to follow a protocol, containing 12 different activities. The folder “Protocol” contains these recordings by subject.
Furthermore, some of the subjects also performed a few optional activities. The folder “Optional” contains these recordings by subject.

** Data files **
Raw sensory data can be found in space-separated text-files (.dat), 1 data file per subject per session (protocol or optional). Missing values are indicated with NaN. One line in the data files correspond to one timestamped and labeled instance of sensory data. The data files contain 54 columns: each line consists of a timestamp, an activity label (the ground truth) and 52 attributes of raw sensory data.


Attribute Information:

The 54 columns in the data files are organized as follows:
1. timestamp (s)
2. activityID (see below for the mapping to the activities)
3. heart rate (bpm)
4-20. IMU hand
21-37. IMU chest
38-54. IMU ankle

The IMU sensory data contains the following columns:
1. temperature (°C)
2-4. 3D-acceleration data (ms-2), scale: ±16g, resolution: 13-bit
5-7. 3D-acceleration data (ms-2), scale: ±6g, resolution: 13-bit
8-10. 3D-gyroscope data (rad/s)
11-13. 3D-magnetometer data (μT)
14-17. orientation (invalid in this data collection)

List of activityIDs and corresponding activities:
1 lying
2 sitting
3 standing
4 walking
5 running
6 cycling
7 Nordic walking
9 watching TV
10 computer work
11 car driving
12 ascending stairs
13 descending stairs
16 vacuum cleaning
17 ironing
18 folding laundry
19 house cleaning
20 playing soccer
24 rope jumping
0 other (transient activities)


Relevant Papers:

The following two publications describe the dataset and provide a baseline benchmark on various tasks of physical activity recognition and intensity estimation:

[1] A. Reiss and D. Stricker. Introducing a New Benchmarked Dataset for Activity Monitoring. The 16th IEEE International Symposium on Wearable Computers (ISWC), 2012.
[2] A. Reiss and D. Stricker. Creating and Benchmarking a New Dataset for Physical Activity Monitoring. The 5th Workshop on Affect and Behaviour Related Assistance (ABRA), 2012.

Further information (detailed description of the protocol and the various activities, statistics of the dataset, the subjects, etc.) can be found in the documentation attached to the dataset. Please refer to the file readme.pdf.



Citation Request:

This dataset is freely available for academic research, there are no (legal or other) constraints on using the data for scientific purposes. We would appreciate referencing one of the below publications ([1] or [2]) if you use this dataset.
If you have any questions or suggestions, please contact Attila Reiss ([firstname].[lastname]@dfki.de). Also, please let us know if you have any publications that uses this dataset.
We recommend to refer to this dataset as the “PAMAP2 Dataset” or the “PAMAP2 Physical Activity Monitoring Dataset”.

[1] A. Reiss and D. Stricker. Introducing a New Benchmarked Dataset for Activity Monitoring. The 16th IEEE International Symposium on Wearable Computers (ISWC), 2012.
[2] A. Reiss and D. Stricker. Creating and Benchmarking a New Dataset for Physical Activity Monitoring. The 5th Workshop on Affect and Behaviour Related Assistance (ABRA), 2012.


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