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ESUB Tracks Helmet

ESUB Tracks is a smart, energy self-sufficient urban bicycle helmet. This design concept originates from an EU funded collaboration between designers and material scientists, material suppliers, end-users and manufacturers. It explores how novel materials can help to improve safety and the user experience while commuting or cycling for leisure.




One of the goals of this EU Horizon 2020 project was to stimulate interdisciplinary design and material research, process optimization and to develop less toxic and more eco-friendly alternatives in the field of printed electronics.

Organic printed photovoltaics

The unique helmet shape derives from wrapping flat printed organic photovoltaics around the helmet form in order to use the whole surface for recharging the printed organic batteries to power all electronic components.

Bone conduction speakers

Printed piezoelectric bone conduction speakers are heat pressed onto the leather straps. An embossed form ensures that the speaker surface is slightly pressed against the area in front of your ears. The speakers connect via Bluetooth to your smart phone and deliver audio without reducing awareness of your surroundings.

© Copyright by CEA

Rear sensor and haptic feedback

Proximity sensors monitor the area behind the cyclist. If a fast vehicle is approaching from behind, left and right piezoelectric haptic actuators start vibrating to warn cyclists.

© Copyright by CEA

Microphone and light indicators

The printed piezoelectric microphone can understand basic voice commands and controls the turn signal indicator lights.

© Copyright by CEA
© Copyright by CEA

Self-Adjusting Fitting System

Once the chin buckle is closed, an electric drive fastens the straps until the helmet sits comfortable and safe. All electric components are controlled by a Nano Arduino and are powered by the printed organic batteries. Both are contained in one unit that sit in the lower rear part of the helmet.

Together with Hadrien Fouin, Beatriz Lobao, Cheng-Yo Lee, Si Han Ho and Yuqin Wu

We are grateful for the opportunity to collaborate in this interdisciplinary project. We very much appreciate the contributions of everyone who was involved and would like to mention:

Mari Ylikunnari

Katie Beverley 

Antoine Latour




CEA Liten

University of Glasgow





This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No. 761112