rnicrosoft/PAMAP2
PAMAP2 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. A. Reiss and D. Stricker, "Introducing a New Benchmarked Dataset for Activity Monitoring," 2012 16th International Symposium on Wearable Computers, Newcastle, UK, 2012, pp. 108-109, doi: 10.1109/ISWC.2012.13. Dataset Information The PAMAP2 Physical Activity Monitoring… See the full description on the dataset page: https://huggingface.co/datasets/rnicrosoft/PAMAP2.
PAMAP2
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.
A. Reiss and D. Stricker, "Introducing a New Benchmarked Dataset for Activity Monitoring," 2012 16th International Symposium on Wearable Computers, Newcastle, UK, 2012, pp. 108-109, doi: 10.1109/ISWC.2012.13.
Dataset 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.
Variables
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 [^1] | | 8-10 | 3D-gyroscope data (rad/s) | | 11-13 | 3D-magnetometer data (μT) | | 14-17 | orientation (invalid in this data collection) |
[^1]: This accelerometer is not precisely calibrated with the first one. Moreover, due to high impacts caused by certain movements (e.g. during running) with acceleration over 6g, it gets saturated sometimes. Therefore, the use of the data from the first accelerometer (with the scale of ±16g) is recommended.
List of activityIDs and corresponding activities: | activityID | activity | | ---: | --- | | 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) |
