Project detail

A network for dynamic wearable applications with privacy constraints

Duration: 01.01.2019 — 31.12.2022

On the project

The emerging market of wearables is expected to grow exponentially in the near future, driven by the sales increase of smart clothes, watches, and eyeglasses. The future wearables are likely to be heterogeneous, operating on batteries, sun power or human motion, and endowed with smart functions. They will co-operate in a decentralized manner with each other and will be able to reach various interconnected software and applications. The main stream wearable-based architecture has been applied so far in wellbeing industries, such as eHealth or ambient assisted living, which might also reduce the costs for care and guarantee a healthy independent live in the forthcoming older society. As the digitalisation and data-based economy are growing, the exploitation potential of the wearables can easily be expected to increase. Key wearables stakeholder groups in the future are also smart cities, comprising intelligent building industry and infrastructure, energy-efficient smart grid sector, public e-Services, and smart transport. Motivated by the opportunities that next-generation wearable intelligence is expected to provide, the mission of A-WEAR action is to cross-disciplinarily create new architectures, open-source software and frameworks for dynamic wearable ecosystems, with distributed localization and privacy constraints. We aim at building new joint/double European doctoral programmes to train a new generation of young researchers in order to be aware of, to cope with, and to disseminate to a large audience the vulnerabilities and the corresponding solutions of the communication and positioning through wearables. The impact of A-WEAR will be to enhance the future social well-being, to contribute to an easy living, effective and enjoyable work, and to offer new solutions to the challenges of violation of privacy by comunication and positioning through wearables and to the need of applying the right of the ownership to one’s data.

Keywords
wearables; dynamic architectures; wireless positioning; low cost low latency; eHealth; industrial applications; edge and cloud computing; social-aware discovery; user privacy; cryptography

Mark

SEP-210482482

Default language

English

People responsible

Hošek Jiří, doc. Ing., Ph.D.
- principal person responsible (2019-01-01 - 2021-12-31)
Burget Radim, doc. Ing., Ph.D.
- fellow researcher (2019-01-01 - 2021-12-31)
Hajný Jan, doc. Ing., Ph.D.
- fellow researcher (2019-01-01 - 2021-12-31)
Mišurec Jiří, prof. Ing., CSc.
- fellow researcher (2019-01-01 - 2021-12-31)
Smékal Zdeněk, prof. Ing., CSc.
- fellow researcher (2019-01-01 - 2021-12-31)

Units

Department of Telecommunications
- (2019-01-01 - 2021-12-31)

Funding resources

Evropská unie - Horizon 2020
- whole funder (2018-06-29 - not assigned)

Results

CASANOVA MARQUÉS, R.; HAJNÝ, J. Anonymous Communication Using Wearables an Constrained Devices. 2019. p. 1-4.
Detail

SKIBIŃSKA, J.; BURGET, R. The application of deep learning techniques in the electroencephalogram (EEG) analysis. In Tampere: Tampere University, Hervanta Campus, 2019. p. 1-4.
Detail

SVERTOKA, E.; RUSU-CASANDRA, A.; MARGHESCU, I. State-of-the-Art of Industrial Wearables: A Systematic Review. In 2020 13th International Conference on Communications (COMM). 2020. p. 411-415. ISBN: 978-1-7281-5611-8.
Detail

SAAFI, S.; HOŠEK, J.; KOLACKOVA, A. Cellular-enabled Wearables in Public Safety Networks: State of the Art and Performance Evaluation. In 2019 11th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). Ireland, Dublin: 2019. p. 1-7. ISBN: 978-1-7281-5763-4.
Detail

ALI, A.; GALININA, O.; ANDREEV, S. Modeling System-Level Dynamics of Direct XR Sessions over mmWave Links. In 2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications. 2020. p. 1-7. ISBN: 978-1-7281-4490-0.
Detail

MOLTCHANOV, D.; OMETOV, A.; KUSTAREV, P.; EVSUTIN, O.; HOŠEK, J.; KOUCHERYAVY, Y. Analytical TCP Model for Millimeter-Wave 5G NR Systems in Dynamic Human Body Blockage Environment. SENSORS, 2020, vol. 20, no. 14, p. 1-11. ISSN: 1424-8220.
Detail

Link