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

SEP-210482482

angličtina

Hošek Jiří, doc. Ing., Ph.D. - hlavní řešitel
Burget Radim, doc. Ing., Ph.D. - spoluřešitel
Hajný Jan, prof. Ing., Ph.D. - spoluřešitel
Mišurec Jiří, prof. Ing., CSc. - spoluřešitel
Smékal Zdeněk, prof. Ing., CSc. - spoluřešitel

Ústav telekomunikací
- odpovědné pracoviště (3.1.2018 - nezadáno)
Ústav telekomunikací
- příjemce (1.1.2019 - 31.12.2021)

ALI, A.; GALININA, O.; HOŠEK, J.; ANDREEV, S. Effects of Small-Scale User Mobility on Highly Directional XR Communications. IEEE COMMUNICATIONS MAGAZINE, 2024, vol. 62, no. 8, p. 16-22. ISSN: 1558-1896.
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ALI, A. Mobility-Aware Analysis of Directional Deafness in mmWave Communications. Tampere, Finsko: 2019.
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ALI, A.; GALININA, O.; HOŠEK, J.; ANDREEV, S. Performance Scaling of mmWave Personal IoT Networks (PINs) for XR Applications. In 2023 IEEE International Conference on Communications Workshops: Sustainable Communications for Renaissance, ICC Workshops 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 1136-1142. ISBN: 979-8-3503-3307-7.
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BRAVENEC, T.; TORRES-SOSPEDRA, J.; GOULD, M.; FRÝZA, T. UJI Probes Revisited: Deeper Dive into the Dataset of Wi-Fi Probe Requests. IEEE Journal of Indoor and Seamless Positioning and Navigation, 2023, vol. 1, no. 1, p. 221-230. ISSN: 2832-7322.
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SKIBIŃSKA, J.; HOŠEK, J. Computerised Analysis of hypomimia and hypokinetic dysarthria for improved diagnosis of Parkinson's disease. Heliyon, 2023, vol. 9, no. 11, ISSN: 2405-8440.
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BRAVENEC, T.; GOULD, M.; FRÝZA, T.; TORRES-SOSPEDRA, J. Influence of Measured Radio Map Interpolation on Indoor Positioning Algorithms. IEEE SENSORS JOURNAL, 2023, vol. 23, no. 17, p. 20044-20054. ISSN: 1530-437X.
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BRAVENEC, T.; TORRES-SOSPEDRA, J.; GOULD, M.; FRÝZA, T. UJI Probes: Dataset of Wi-Fi Probe Requests. In 2023 IEEE 13th International Conference on Indoor Positioning and Indoor Navigation (IPIN). IEEE, 2023. p. 1-6. ISBN: 979-8-3503-2011-4.
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CASANOVA-MARQUES, R.; TORRES-SOSPEDRA, J.; HAJNY, J.; GOULD, M. Maximizing Privacy and Security of Collaborative Indoor Positioning using Zero-Knowledge Proofs. Internet of Things, 2023, vol. 22, no. neuvedeno, p. 1-18. ISSN: 2542-6605.
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SAAFI, S.; VIKHROVA, O.; FODOR, G.; HOŠEK, J.; ANDREEV, S. Cost- and Delay-Efficient Backhaul Selection for Time-Sensitive Maritime Communications. IEEE COMMUNICATIONS LETTERS, 2023, vol. 27, no. 4, p. 1235-1239. ISSN: 1558-2558.
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SKIBIŃSKA, J.; HOŠEK, J.; CHANNA, A. Wearable Analytics and Early Diagnostic of COVID-19 Based on Two Cohorts. In 2022 14th International Congress on Ultra Modern Telecommunications and Control Systems and Workshop (ICUMT). International Congress on Ultra Modern Telecommunications and Control Systems and Workshops. Valencia, Spain: IEEE, 2022. p. 56-63. ISBN: 979-8-3503-9866-3. ISSN: 2157-023X.
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SAAFI, S.; VIKHROVA, O.; ANDREEV, S.; HOŠEK, J. Enhancing Uplink Performance of NR RedCap in Industrial 5G/B5G Systems. In 2022 IEEE International Conference on Communications Workshops (ICC Workshops). IEEE, 2022. p. 520-525. ISBN: 978-1-6654-2671-8.
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SAAFI, S.; VIKHROVA, O.; FODOR, G.; HOŠEK, J.; ANDREEV, S. AI-Aided Integrated Terrestrial and Non-Terrestrial 6G Solutions for Sustainable Maritime Networking. IEEE NETWORK, 2022, vol. 36, no. 3, p. 183-190. ISSN: 0890-8044.
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RICCI, S.; DZURENDA, P.; CASANOVA-MARQUÉS, R.; ČÍKA, P. Threshold Signature for Privacy-preserving Blockchain. In Business Process Management: Blockchain, Robotic Process Automation, and Central and Eastern Europe Forum, Lecture Notes in Business Information Processing. Lecture Notes in Business Information Processing. Münster, Germany: Springer, 2022. p. 100-115. ISBN: 978-3-031-16167-4. ISSN: 1865-1348.
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BRAVENEC, T.; TORRES-SOSPEDRA, J.; GOULD, M.; FRÝZA, T. What Your Wearable Devices Revealed About You and Possibilities of Non-Cooperative 802.11 Presence Detection During Your Last IPIN Visit. In 2022 IEEE 12th International Conference on Indoor Positioning and Indoor Navigation (IPIN). IEEE, 2022. p. 1-7. ISBN: 978-1-7281-6218-8.
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DZURENDA, P.; CASANOVA-MARQUÉS, R.; MALINA, L.; HAJNÝ, J. Real-world Deployment of Privacy-Enhancing Authentication System using Attribute-based Credentials. In ARES '22: Proceedings of the 17th International Conference on Availability, Reliability and Security. Vienna, Austria: ACM, 2022. p. 1-9. ISBN: 978-1-4503-9670-7.
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CASANOVA-MARQUÉS, R.; DZURENDA, P.; HAJNÝ, J. Implementation of Revocable Keyed-Verification Anonymous Credentials on Java Card. In ARES '22: Proceedings of the 17th International Conference on Availability, Reliability and Security. Vienna, Austria: ACM, 2022. p. 1-8. ISBN: 978-1-4503-9670-7.
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BRAVENEC, T.; TORRES-SOSPEDRA, J.; GOULD, M.; FRÝZA, T. Exploration of User Privacy in 802.11 Probe Requests with MAC Address Randomization Using Temporal Pattern Analysis. In Proc of 17th International Conference on Location Based Services. 2022. p. 1-10. ISBN: 978-1-907075-02-5.
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CASANOVA-MARQUÉS, R.; DZURENDA, P. Readiness of Anonymous Credentials for Real Environment Deployment. In Proceedings II of the 28th Conference STUDENT EEICT 2022 Selected Papers. 1. Brno: Brno University of Technology, Faculty of Electronic Engineering and Communication, 2022. p. 308-312. ISBN: 978-80-214-6030-0.
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SKIBIŃSKA, J.; BURGET, R. Is It Possible to Distinguish COVID-19 Cases and Influenza with Wearable Devices? Analysis with Machine Learning. Journal of Advances in Information Technology, 2022, vol. 13, no. 3, p. 265-270. ISSN: 1798-2340.
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ALI, A.; GALININA, O.; HOŠEK, J.; ANDREEV, S. Performance Evaluation of Dynamic Computation Offloading Capability for Industrial Wearables. In IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC. Institute of Electrical and Electronics Engineers Inc., 2021. p. 1-7. ISBN: 9781728175867.
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Odpovědnost: Hošek Jiří, doc. Ing., Ph.D.