An inertial and positioning dataset for the walking activity

We are publishing a walking activity dataset including inertial and positioning information from 18 volunteers including reference distance measured using a trundle wheel. The dataset includes a total of 96.7 Km walked by the volunteers, split into 203 separate tracks. The trundle wheel is of two types: it is either an analogue trundle wheel which provides the total amount of meters walked in a single track, or it is a sensorized trundle wheel which measures every revolution of the wheel, therefore recording a continuous incremental distance.  
Each track has data from the accelerometer and gyroscope embedded in the phones, location information from the Global Navigation Satellite System (GNSS), and the step count obtained by the device. The dataset can be used to implement walking distance estimation algorithms and to explore data quality in the context of walking activity and physical capacity tests, fitness, and pedestrian navigation., The proposed dataset is a collection of walks where participants used their own smartphones to capture inertial and positioning information. The participants involved in the data collection come from two sites. The first site is the Oxford University Hospitals NHS Foundation Trust, United Kingdom, where 10 participants (7 affected by cardiovascular diseases and 3 healthy individuals) performed unsupervised 6MWTs in an outdoor environment of their choice (ethical approval obtained by the UK National Health Service Health Research Authority protocol reference numbers: 17/WM/0355). All participants involved provided informed consent. The second site is at Malm ̈o University, in Sweden, where a group of 9 healthy researchers collected data. This dataset can be used by researchers to develop distance estimation algorithms and how data quality impacts the estimation. 

All walks were performed by holding a smartphone in one hand, with an app collecting inertial data, the GNSS signal, and the ..., , # An Inertial and Positioning Dataset for the walking activity

[https://doi.org/10.5061/dryad.n2z34tn5q](https://doi.org/10.5061/dryad.n2z34tn5q)

## Description of the data and file structure

We publish a walking activity dataset including inertial and positioning information from 18 volunteers including reference distance measured using a trundle wheel. Each track has data from the accelerometer and gyroscope embedded in the phones, location information from the Global Navigation Satellite System (GNSS), and the step count obtained by the device.

Example code can be found at [the following link](https://github.com/SaraCaramaschi/walking_dataset_for_6MWT/)

The data folder contains a metadata_tracks.csv file with attributes for each track. In addition, for every participant there is a folder (subject_X, X being a unique subject identifier), and for every track, a sub-folder (X_N, X being a unique subject identifier and N being the track identifier).

**Every track folder contains th...