Edge AI for Wearables and IoT
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".
Deadline for manuscript submissions: 25 June 2025 | Viewed by 1682
Special Issue Editor
Interests: cyber-physical systems; flexible electronics; embedded systems; edge computing; real-time AI; wearable; IoT; biomedical devices; ECG; EEG
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Next generation technologies will utilize existing and emerging wearables and the Internet of Things (IoT) to continuously collect heterogeneous signals and data from unsupervised settings and apply real-time signal processing and artificial intelligence (AI) embedded into edge computing devices to seamlessly generate meaningful interpretations and actionable decisions. Rapid progress in embedded technologies with high computing power and ubiquitous connectivity using Bluetooth, Wi-Fi, and 5G along with miniature, low-cost, flexible, and reliable sensors have paved the hardware revolution for these technologies. On the other hand, tremendous achievements with AI algorithms with machine learning (ML) and deep learning (DL) with real-time interactive systems enabled by generative AI, federated learning, and differential privacy will lead to newer capabilities and ecosystems. These AI algorithms need to process the continuously collected data in real time for actionable decision making with a high degree of accuracy and reliability. Resolving these related hardware and software challenges requires approaches that integrates a hardware–software co-design paradigm; resource-constrained data collection and processing; novel techniques for flexible sensors; on-chip processing; power-saving, memory-management, and low-power wireless data transfer schemes; edge, fog, and cloud computing; autonomous and semi-autonomous feedbacks for closed-loop cyber-physical systems (CPS); human-in-the-loop, trustable, and privacy-preserving algorithms; and human-interpretable representations of big data on a meaningful and timely basis. The purpose of this Special Issue is to address the ongoing research activities in these fields of wearables and IoT with focus on edge AI for a variety of applications including biomedical, mobile health, smart health, smart cities, environmental, remote monitoring, robotics, assistive technologies, and elderly monitoring applications.
Dr. Bashir Morshed
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- edge, fog, and cloud computing
- AI
- real-time systems
- wearable
- IoT
- medical device
- smart health
- robotics
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.
