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 1639
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
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Keywords
- edge, fog, and cloud computing
- AI
- real-time systems
- wearable
- IoT
- medical device
- smart health
- robotics
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