TexSense Example Dataset

This dataset is part of the TexSense Project. The project aims to predict continuous 3D knee moments during various running conditions using pressure insoles (PI) and inertial measurment unit (IMU) data. The goal of TexSense is to develop accurate machine learning models that can assist in biomechanical analysis and injury prevention in sports and rehabilitation contexts.

The provided dataset contains a subset of 10 participants of our original data (n=19). Only a single shoe condition is provided. The data consists of multiple 10-second samples of continuous (synchronized and preprocessed) IMU, PI, and 3D knee moments data from each running condition. Detailed information and example code on how to use the data are provided und the projects github repo (Link).

The project TexSense is funded within the context of WISS 2025, der Wissenschafts- und Innovationsstrategie 2025, by the federal state of Salzburg.