Motion Analysis and Signal Processing for Analysis of Bicycles
We execute dynamic motion-analyses of high performance road racing bicycles featuring carbon frames. We achieve our goal by measurements of numerous and different wireless sensor nodes and subsequent signal analysis.
- Département HESB | Technique et informatique
- Pôle de recherche Human Centered Engineering
- Champ de recherche Human Centered Engineering
- Durée 01.10.2009 - 31.12.2013
- Direction du projet Marcel Jacomet
Équipe du projet
- Mots-clés Wireless distributed Sensor Nodes, Signal Analysis, Hardware Algorithms
We capture different variables describing the racing bicycle and its rider to get a complete picture: 3D accelerations at frame positions, pedal frequency, pedal force, GPS position, and heart rate. The physical variables are captured at various positions of the bike. Thereto we develop tiny autonomous sensor nodes which communicate wirelessly. The data analysis will deliver design details to optimize the frame construction.
The project explores the relation between statically and dynamically determined frame stiffnesses and their impact on traction and rider's comfort.
Investigtion and analysis of hardware algorithms for motion analysis and signal processing (for improvement of bicycle frame construction)
The infrastructure in development is the basis for a comprehensive gauging of bike and its rider. We expect novel characterization variables for the bike construction with respect to ride efficiency and comfort.