Detail projektu

A network for dynamic wearable applications with privacy constraints

Období řešení: 01.01.2019 — 31.12.2022

O projektu

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.

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

Označení

SEP-210482482

Originální jazyk

angličtina

Řešitelé

Útvary

Ústav telekomunikací
- příjemce (01.01.2019 - 31.12.2021)

Zdroje financování

Evropská unie - Horizon 2020

- plně financující (2018-06-29 - nezadáno)

Výsledky

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

DZURENDA, P.; RICCI, S.; CASANOVA MARQUÉS, R.; HAJNÝ, J.; ČÍKA, P. Secret Sharing-based Authenticated Key Agreement Protocol. In International Workshop on Security and Privacy in Intelligent Infrastructures (SP2I 2021) at the 16th International Conference on Availability (ARES 2021). 2021. p. 1-10. ISBN: 978-1-4503-9051-4.
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

SAAFI, S.; HOŠEK, J.; KOLACKOVA, A. Cellular-enabled Wearables in Public Safety Networks: State of the Art and Performance Evaluation. In 2020 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). Online: IEEE, 2020. p. 201-207. ISBN: 978-1-7281-9281-9.
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

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

Svertoka, E.; Bălănescu, M.; Suciu, G.; Pasat, A.; Drosu, A. Decision Support Algorithm Based on the Concentrations of Air Pollutants Visualization. SENSORS, 2020, vol. 20, no. 5931, p. 1-15. ISSN: 1424-8220.
Detail

HAJNÝ, J.; DZURENDA, P.; CASANOVA MARQUÉS, R.; MALINA, L. Cryptographic Protocols for Confidentiality, Authenticity and Privacy on Constrained Devices. In Proceedings of 2020 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). 2020. p. 1-6. ISBN: 978-1-7281-9281-9.
Detail

ŠEDA, P.; ŠEDA, M.; HOŠEK, J. On Mathematical Modelling of Automated Coverage Optimization in Wireless 5G and Beyond Deployments. Applied Sciences - Basel, 2020, vol. 10, no. 24, p. 1-25. ISSN: 2076-3417.
Detail

SKIBIŃSKA, J.; BURGET, R. Parkinson's Disease Detection based on Emotions during Speech. Brno, Czech Republic: IEEE Xplore, 2020. ISBN: 978-1-7281-9282-6.
Detail

HAJNÝ, J.; DZURENDA, P.; CASANOVA MARQUÉS, R.; MALINA, L. Privacy ABCs: Now Ready for Your Wallets!. In Proceedings of The 19th International Conference on Pervasive Computing and Communications (IEEE PerCom 2021). 2021. p. 686-691. ISBN: 978-1-6654-0424-2.
Detail

OMETOV, A.; SHUBINA, V.; KLUS, L.; SKIBIŃSKA, J.; SAAFI, S.; PASCACIO, P.; FLUERATORU, L.; GAIBOR, D.; CHUKHNO, N.; CHUKHNO, O.; ALI, A.; CHANNA, A.; SVERTOKA, E.; QAIM, W.; CASANOVA MARQUÉS, R.; HOLCER, S.; TORRES-SOSPEDRA, J.; CASTELEYN, S.; RUGGERI, G.; ARANITI, G.; BURGET, R.; HOŠEK, J., LOHAN, E. A Survey on Wearable Technology: History, State-of-the-art and Current Challenges. Computer Networks, 2021, vol. 193, no. 2021, p. 1-48. ISSN: 1389-1286.
Detail

CASANOVA MARQUÉS, R.; PASCACIO, P.; HAJNÝ, J.; TORRES-SOSPEDRA, J. Anonymous Attribute-Based Credentials in Collaborative Indoor Positioning Systems. In Proceedings of SECRYPT 2021. 2021. p. 1-7. ISBN: 978-989-758-524-1.
Detail

ALI, A.; GALININA, O.; ANDREEV, S. System-Level Dynamics of Highly Directional Distributed Networks. IEEE Wireless Communications Letters, 2021, vol. 2021, no. 4, p. 1-5. ISSN: 2162-2337.
Detail

Svertoka, E.; Saafi, S.; Rusu-Casandra, A.; Burget, R.; Marghescu, I.; Hosek, J.; Ometov, A. Wearables for Industrial Work Safety: A Survey. SENSORS, 2021, vol. 21, no. 11, p. 1-24. ISSN: 1424-8220.
Detail

POKORNÝ, J.; MA, K.; SAAFI, S.; FROLKA, J.; VILLA, J.; GERASIMENKO, M.; KOUCHERYAVY, Y.; HOŠEK, J. Prototype Design and Experimental Evaluation of Autonomous Collaborative Communication System for Emerging Maritime Use Cases. SENSORS, 2021, vol. 21, no. 11, p. 1-20. ISSN: 1424-8220.
Detail

SKIBIŃSKA, J.; BURGET, R. The Transferable Methodologies of Detection Sleep Disorders Thanks to the Actigraphy Device for Parkinson's Disease Detection. CEUR, 2021.
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

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