Colloquia

Samenvatting

As athletes and practitioners seek more personalized approaches in sports injury prevention and recovery, analysing running mechanics has emerged as a key area of focus. Joining the team at WearM.ai, the task at hand concerned the development of prototypes for two gait analysis platforms, providing a visual interface solution for their wearable camera-based sensors. The assignment explored User-Centred interface design and DIKW data hierarchy to bridge the gap between biomechanical data and actionable insights when applied to a specific context of use involving physiotherapists and runners. Research on applicable technologies and stakeholder interviews resulted in prototypes for a web-based interface and a mobile app. Evaluation of the high-fidelity interactive interfaces revealed responses to context-appropriate design, particularly in adapting to differences in PT and runner expertise, accommodating outdoor settings, and integrating qualitative observations with quantitative measurements. While further evaluation by end-users could benefit valuable validation and guide future improvements, this has resulted in a successful gait analysis platform design for PTs and runners.