Wememove is a Swedish SME led by Magnus Jonsson, a successful serial entrepreneur, and Christer Norström, a PhD and a former CEO of the Swedish Institute of Computer Science. Wememove has designed and brought to TRL6 Racefox—an artificial intelligence-based personal training coach for cross-country skiers and runners. Wememove has won funding from the Swedish Innovation Agency Vinnova to conduct a feasibility study and was placed on the NyTeknik 33 list of most innovative Swedish companies in 2016, 2017 and 2018. Racefox is a combination of a special wearable device worn across the chest, a smartphone app and a series of AI algorithms that analyze the position of an athlete’s body in space and give real-time feedback on how to improve his/her skiing or running technique and prevent injuries. Racefox is backed up by large amounts of motion data collected both from individuals training and performing in races & competitions. Racefox will disrupt the personal coaching market by introducing a high-quality, low-price digital AI coach. By September 2018 Wememove has sold 4.300 Racefox devices and became the first official digital coach of Vasaloppet—the biggest cross-country skiing race in the world featuring 70,000 participants annually. Wememove has secured a series of strategic partnerships with competitions and races globally to develop dedicated training packs. Wememove is also working with Capio—a large medical organization—to create injury recovery packs to be used by sports practitioners. For this 24-month Phase 2 project Wememove is requesting a €1.85M contribution to bring Racefox to market, develop additional training functionality and complete injury prevention modules, validate it in several major cross-country skiing and running competitions and prepare for the large-scale market introduction.

Over the past few years, we have been witnessing an increasing presence and usage of wearable sensing and quantified- self devices. The rise of embedded and wearable computing is expected to bring the next revolution of the Internet of Sports, enhancing fitness, performance health, productivity and safety as well as creating new jobs and opening new markets. Nevertheless, at a European level, there is a recognized shortage of highly skilled researchers, scientists and engineers with transferable skills and entrepreneurial experience, trained in building IT platforms and service infrastructures capable of hosting innovative collective sensing services and applications. The RAIS consortium comprising 6 beneficiaries and 7 fully committed partner organizations, aspires to establish the core for a fertile multidisciplinary research and innovation community with strong entrepreneurial culture that will advance:1) wearable sport-sensing and quantified-self devices and accompanying middleware;2) technologies of Big Data mining and analytics that are needed to capture a broad range of users’ sports- and wellness-related information.The main objective of RAIS is to provide world class training for a next generation of researchers, computer scientists, and data engineers, emphasizing a strong combination of advanced understanding in both theoretical and experimental approaches, methodologies and tools that are required to develop decentralized, scalable, and secure collective sensing infrastructures and platforms. RAIS training network will fund 14 ESRs, 3 workshops, 1 Hackathlon event, 1 entrepreneurship event, 3 summer schools and a final Conference. To meet this goal, RAIS will focus on developing new technologies on Big Data Analytics on the Edge, Data Stream Processing, Distributed and Decentralized Machine Learning, Blockchain as well as Security/Privacy. These topics include important and timely research challenges with an immediate exploitation potential.