University of Twente Student Theses
Developing a Gait Data Analysis Dashboard to Streamline Data Processing for Researcher
Wen, Zhonghui (2024) Developing a Gait Data Analysis Dashboard to Streamline Data Processing for Researcher.
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| Abstract: | This thesis addresses the challenges in gait analysis by developing a user-friendly dashboard that facilitates the import, processing, visualization, and export of gait analysis data from raw data imports. Through a comprehensive literature review, the most commonly used running parameters in gait analysis were identified. Interviews with researchers provided insights into their preferences for these parameters and data visualization methods. The identified parameters were then extracted and analyzed using Python, with the results displayed on the dashboard. This tool allows researchers to efficiently access and export analyzed gait data, bypassing the need to handle raw data directly. The Technology Acceptance Model (TAM) was employed to evaluate the dashboard's perceived usefulness and ease of use. The results demonstrate the dashboard's potential to simplify the gait analysis process and improve data usability for researchers. |
| Item Type: | Essay (Bachelor) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 54 computer science |
| Programme: | Computer Science BSc (56964) |
| Link to this item: | https://purl.utwente.nl/essays/101624 |
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