Towards Situated Knee Trajectory Visualization for Self Analysis in Cycling

Inflammation, stiffness, and swelling are frequently reported symptoms of patellar tendinitis among cyclists; making knee pain a consistently observed overuse injury in cycling. In this paper, we investigate the applicability of a knee trajectory visualization to self-analysis for increasing awareness of movement patterns leading to injuries. We briefly explain overuse injuries and patellar instability, describe the experiments we did with cyclists for gathering requirements, and finally illustrate an augmented reality concept. We also show two different types of visualizations with participant opinions; one being conventional and other being a video-based one and discuss how situated visualizations can be utilized for improving self awareness to injury causes.