Road bike riding posture model and bicycle dimensions recommendation based on ergonomics, performance, preference

Abstract

We explored the process of ergonomic recommendation ways and researches in various field. From previous related works, we found that individual's riding context is not represented. By composing posture capture study, we observed posture changes according to exercise duration and classify tendency to develop user riding posture model. User riding posture model with anthropometric data will be represented with equations of recommended body joints angle with 6 exercise durations as riding context and preference. Because the amount of change in optimal exercise intensity over exercise duration can be expected to follow certain equations among people with different physical strength, was explored in previous literature search and case study. We can expand the idea of user riding posture model to public bicycle users. We suggest new method for bicycle custom fit system which can calculate exact bicycle custom fit expressed with each bicycle components dimensions. Discovering the possibility of user riding posture model is first step of new bicycle custom fit system. Simulating and visualizing optimal bicycle dimensions to find optimized bicycle custom fit was covered in this paper.