Accelerometer and GPS data detection for stride analysis.
Our goal is to detect the lenght of the stride using the data of a walking person. To understand more closely how we proceeded, have a look at the markdown cells of the notebook.
We collected our data using the MATLAB Support Package for Apple iOS/Android Sensors, trough Accelerometer and GPS of a smartphone.
We used the following features:
- Acceleration along the x-axis
- Acceleration along the y-axis
- Acceleration along the z-axis
- Latitude
- Longitude
- Time
Team8.mlxis the final notebook.compute_distance.mhas a function use to evaluate the total distance traveled.timeElapsed.mis a provided file for manipulating time-series data.walking_datacontains the collected data using the mobile app.
The Signal Processing Toolbox is needed.
To correctly run this project, just run the Team8.mlx file which contains the walkthrough of the analysis.
One expects a higher mean stride in higher people, here is a reference of the height of the people collecting data:
- Person 1: height 160cm
- Person 2: height 174cm
- Person 3: height 192cm