WheelSimAnalyser: A MATLAB tool for multimodal data analysis of WheelSimPhysio-2023 dataset[Figure presented]

Debora P. Salgado, Niall Murray, Ronan Flynn, Eduardo L.M. Naves, Yuansong Qiao, Sheila Fallon

Research output: Contribution to journalArticlepeer-review

Abstract

WheelSimAnalyser is a MATLAB-based tool designed to process and analyze the WheelSimPhysio-2023 dataset, which includes physiological, questionnaire, and system data from wheelchair simulator studies. The tool streamlines data preprocessing, feature extraction, and visualization, providing researchers with detailed descriptive metrics. By automating key steps, WheelSimAnalyser enables efficient and effective analysis, allowing researchers to derive meaningful insights from complex datasets. The tool supports research on power wheelchair mobility and user experience, enhancing the ability to interpret multimodal data.

Original languageEnglish
Article number100731
JournalSoftware Impacts
Volume23
DOIs
Publication statusPublished - Mar 2025

Keywords

  • Multimodal data
  • Physiological metrics
  • Statistical descriptive analysis
  • Subjective evaluations
  • System performance
  • Wheelchair simulator

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