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RAIS: Real-time Analytics for the Internet of Sports

RAIS: Real-time Analytics for the Internet of Sports

Objective

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.
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Coordinator

KUNGLIGA TEKNISKA HOEGSKOLAN

Address

Brinellvagen 8
100 44 Stockholm

Sweden

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 845 948,88

Participants (5)

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UNIVERSITY OF CYPRUS

Cyprus

EU Contribution

€ 707 510,16

UNIVERSITA DEGLI STUDI DELL'INSUBRIA

Italy

EU Contribution

€ 522 999,36

FOUNDATION FOR RESEARCH AND TECHNOLOGY HELLAS

Greece

EU Contribution

€ 486 035,28

WEMEMOVE AB

Sweden

EU Contribution

€ 563 965,92

ARISTOTELIO PANEPISTIMIO THESSALONIKIS

Greece

EU Contribution

€ 486 035,28

Partners (5)

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MASSACHUSETTS INSTITUTE OF TECHNOLOGY

EIT DIGITAL

RECORDED FUTURE AKTIEBOLAG

OPEN DATA INSTITUTE LBG

THE CHANCELLOR MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE

Project information

Grant agreement ID: 813162

Status

Ongoing project

  • Start date

    1 January 2019

  • End date

    31 December 2022

Funded under:

H2020-EU.1.3.1.

  • Overall budget:

    € 3 612 494,88

  • EU contribution

    € 3 612 494,88

Coordinated by:

KUNGLIGA TEKNISKA HOEGSKOLAN

Sweden