Dataset for An Automated Framework for Gait Parameter Estimation Using Plantar Pressure Data from a Capacitive Sensor-Equipped Treadmill

This dataset contains raw plantar pressure data, calibration results generated using the commercial Zebris software, and MATLAB-processed results obtained using the ZFTAE framework for one representative participant. In addition, MATLAB source code outlining the overall ZFTAE framework is provided. The dataset was generated from treadmill gait experiments conducted with one participant under five speed conditions: 1.8, 2.6, 3.4, 4.2, and 5.0 km/h. Three trials were conducted at each speed condition, resulting in a total of 15 measurements. The dataset is intended to support the evaluation, interpretation, and methodological understanding of the ZFTAE gait analysis approach as well as its comparison with results obtained using the commercial Zebris software. The shared materials include: 1. Raw Zebris XML data;2. Calibration data exported from the commercial Zebris software;3. Processed MATLAB data generated using the ZFTAE framework;4. A MATLAB processing framework demonstrating the main ZFTAE data-processing workflow;5. Participant information data detailing basic anthropometrics. The ZFTAE framework is provided to illustrate the overall processing workflow and facilitate methodological understanding. The shared code contains the main processing structure, while the implementation of selected core algorithmic components is not included. These algorithms are described in detail in the associated article. This dataset is associated with the manuscript “An Automated Framework for Gait Parameter Estimation Using Plantar Pressure Data from a Capacitive Sensor-Equipped Treadmill,” submitted to IEEE Sensors Journal.