Journal
Discover Internet of Things
Discover Internet of Things is an open access journal publishing research across all fields relevant to the Internet of Things (IoT), providing cutting-edge findings to researchers,...
Movement and mobility are integrated parts of human state of health. When it comes to precision health, personalised and precise prevention, diagnosis and treatment are key targeted features. Convergence of mobility and precision health is anticipated to lead to a strong outcome for progressing the digital health. Here, wearables electronics, mobile Apps, IoT, embedded AI and edge or cloud computing are key enabling technologies. Furthermore, technologies like smart phone, smart watch, telemedicine and remote care are all encouraging the convergence of mobility and precision health.
This Collection invites researchers and innovators to submit original work on systems and components that advance the area of IoT-based solutions towards the convergence of mobility and precision health. Areas of interest should fall (but not limited to) within the list of topics below:
1. Movements and mobility pattern analysis and recognition
2. Movement classification and health condition association or health improvement requirements
3. Convergence of mobility and precision health
4. Movements, mobility & health programs
5. Movements and daily-living’s activity’s recognitions
6. Robotic exoskeletons assisted mobility impairments use cases
7. Telerehabilitation services use cases
8. Remote patient monitoring
9. eHealth Context-Awareness applications
10. Mobility monitoring through wearable electronics, smart watch, smart phone, or telemedicine
11. Association of mobility patterns with joints’ and muscles’ health
12. IoT and wearable system architectures:
- Wearable mobility sensors, sensing systems and data collection and management
- Functional and general mobility classification and recognition
- End-to-end health programs’ data management and utilization
- Wearable and mobility/eHealth Apps user friendly interface
- Cloud or edge-based solutions
- Embedded AI for movement, mobility patterns and health condition learning, classification and recognition
- Green data communication networks for e-health applications and transparency anytime, anywhere
- Wearable architecture flexible design and dynamic software definition
- Wearable embedded AI for mobility/health pattern recognition
- Device cost effectiveness and digital divide
- Data privacy and security challenges
- Distributed IoT Architecture and group mobility patterns recognition and interrelations
- Mobility data processing and management Apps
- Mobility monitoring personalisation
- Mobility and eHealth data security and reliability
This Collection supports and amplifies research related to: SDG 3, SDG 9, SDG 11
Keywords: Mobility; Precision Health; eHealth; IIoT; CPS; AI; Personalisation; Data Privacy
Submit your manuscript to this collection through the participating journal.
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Adnan Al-Anbuky
Professor Adnan Al-Anbuky, PhD, Auckland University of Technology, New Zealand.
He holds a PhD degree from the University of Manchester/UK and has assumed various academic and administrative roles at Auckland University of Technology, University of Canterbury, Yarmouk University, and Baghdad University of Technology. He also spent significant time with Industry establishing and running a research lab on telecommunication standby power management. His current research directions are on software defined WSN, CPS and IIoT utilizing the use cases of precision rehabilitation, vehicular groupings, and UAV as a data ferry.
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Franco Davoli
Professor Franco Davoli, PhD, University of Genoa, Italy.
Dr Davoli is Professor Emeritus at the University of Genoa, Department of Electrical, Electronic and Telecommunications Engineering, and Naval Architecture. In 2004 and 2011 he was Visiting Erskine Fellow at the University of Canterbury, New Zealand. He held several roles in the National Inter-university Consortium for Telecommunications; among others, he was the founder and Head of the CNIT National Laboratory of Smart and Secure Networks ( S2N ), based in Genoa, Italy, for the term 2016-2022. He is a Life Senior Member of the IEEE.
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Andrea Sciarrone
Associate Professor Andrea Sciarrone, PhD, University of Genoa, Italy.
He was born in Leghorn, Italy on May 12th, 1984. He got his bachelor's degree in 2007 and his Master of Science in 2009, both in Telecommunication Engineering. In 2014 he got a Ph.D. in Science and Technology for Information and Knowledge at the University of Genoa. Now he is an Associate Professor in the research staff of the Telecommunication Group of the Digital Signal Processing Laboratory at the DITEN department, University of Genoa. He has been the Chair of the IEEE ComSoc e-Health TC since 2016 and the Secretary of the IEEE ComSoc Italy Chapter.
