WheelSimAnalyser: A MATLAB tool for multimodal data analysis of WheelSimPhysio-2023 dataset
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. • Analyzes multimodal data from WheelSimPhysio-2023 for comprehensive assessments. • Provides comprehensive metrics for wheelchair simulator evaluations. • Facilitates in-depth user’s feedback analysis. • Customizable workflows for visualizing multimodal data outputs.
Authors
- Débora Pereira Salgado (ORCID: https://orcid.org/0000-0003-1313-8044)
- Sheila Fallon (ORCID: https://orcid.org/0000-0001-6874-5699)
- Ronan Flynn (ORCID: https://orcid.org/0000-0002-6475-005X)
- Eduardo Lázaro Martins Naves (ORCID: https://orcid.org/0000-0003-4175-723X)
- Niall Murray (ORCID: https://orcid.org/0000-0002-5919-0596)
- Yuansong Qiao (ORCID: https://orcid.org/0000-0002-1543-1589)
Institutions
- Technological University of the Shannon: Midlands Midwest
- Universidade Federal de Uberlândia (BR)
Publication Details
- Journal
- Software Impacts
- Published
- 2024-12-13
- DOI
- https://doi.org/10.1016/j.simpa.2024.100731
- Citations
- 1
- Primary Topic
- Advanced Text Analysis Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.35