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The primary goal of this project is to develop, assemble and test a modular, open-source e-bike kit that captures live sensor signals. This design platform should allow designers to experience better the bike ride of their users towards novel insights and empathy.

In line with your interests, your research question could focus on one of the following: What are the necessary sensors to capture an e-bike user’s experience? How can AI guide how the designers select these experiences? Or, how can designers experience these captured experiences?

The Smart Connected Ebike consortium – cooperation with the Accell Group – will help you conduct this project. It also includes financial support for equipment.

The technical nature of this project fits best IPD master students. Additionally, you’re going to be working on a decent amount of programming, electronics, and enclosure design, so a passion for prototyping is ideal!

Literature to Get Started:
https://mechmotum.github.io/research/bicycle-data-logger.html
https://ieeexplore.ieee.org/document/8319221
https://core.ac.uk/download/pdf/204422768.pdf
https://www.alexandria.unisg.ch/236048/1/1726_Implementing%20the%20connected%20e-bike-final.pdf

PhD Candidate
Wo Meijer