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Measuring, personalisation & privacyContent, games & experienceData, AI & ML


October 01, 2016 - September 30, 2019

To improve the training and experience of amateur cycling events by monitoring and analysing real-time sensor data.

Partners: Energy Lab, Rombit, imec, Living Labs (iLab.o), Universiteit Gent ,

The collection and analysis of athlete data in cycling offers a lot of potential to improve cycling experience, training regimes and cycling races strategies. Popular cycling apps gather data, but report and analyze it offline. That is why CONAMO aims to enable the real-time monitoring of athletes. The innovation project will offer a data-driven cycling experience through the development of a mobile network layer for data transmission and an analysis layer that interprets the data gathered in real-time, for instant updates on position and performance that can be vital to training approaches and strategic decision-making during events. 

Transforming cycling into a social experience 

The topic of athlete data in cycling is particularly relevant in Flanders, the birthplace of many cycling innovations. Real-time data doesn’t just enable cyclists to get an instant overview of their performance for improved training and strategic decision-making; it also makes cycling a social experience, opening up areas of a market in which novelty and added value are key differentiators. 

Addressing new technical challenges in real-time data transmission and analysis 

By introducing new technologies in the areas of long-range networks and data analysis, CONAMO will address several innovation goals, including: 

  • Reliable long-range sensor connectivity in high-density networks; 

  • A semantic reasoning platform that analyses cyclist data to implement individualized and adaptive training models; 

  • Increased user experience during training and collective cycling events and the identification of business opportunities for cyclists, fans and media professionals. 

In determining what factors spark increased user experience during actual cycling events, the project intends to extend the data-driven cycling experience from ‘post event’ into ‘during event’. 

Taking personal training and collective cycling to the next level 

CONAMO will collaborate with diverse partners specializing in the areas of athletic training methods, public engagement, the Internet of Things, networking and big data. 

The project’s living lab will explore how social interaction, storytelling, gamification and smart connections to professional cycling experiences can enhance user experience in both use cases and motivate a wide group of cyclists to train in a healthy way. 

Promoting an active lifestyle to a wider group 

Fields of investigation and innovation for CONAMO don’t just include the technical and social; the project also seeks to support the creation of a healthier, more responsible and social cycling experience. Cycling continues to grow in popularity around the world, and promoting exercise to a wider group of people is an explicit goal of CONAMO and its collaborators.

CONAMO is an imec.icon research project funded by imec and Flanders Innovation & Entrepreneurship.

More information about the project: https://www.imec-int.com/en/what-we-offer/research-portfolio/conamo