Body Area Networks: Intelligence, Sensing and Communication
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: 18 December 2025 | Viewed by 8
Special Issue Editors
Interests: signal processing; Internet of Things (IoT); interactive media
Interests: wearable devices; AI; communication and network engineering
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We are pleased to invite you to contribute to our upcoming Special Issue on “Body Area Networks: Intelligence, Sensing and Communication.”
Body Area Networks (BANs), also known as Wireless Body Area Networks (WBANs), are emerging as key enablers of intelligent, continuous, and non-invasive monitoring systems. With the widespread adoption of wearable and implantable devices, BANs are playing an increasingly vital role in diverse applications such as health monitoring, rehabilitation, sports science, assistive technologies, human–structure co-monitoring systems, and interactive gaming.
This Special Issue aims at highlighting recent advances in intelligent signal processing, sensor and device design, wireless communication, and cross-layer system integration within the BAN framework. We also encourage contributions that explore cutting-edge and exploratory directions, such as the incorporation of Artificial Intelligence (AI), particularly Large Language Models (LLMs), as well as multimodal interaction technologies tailored for BAN-enabled systems.
Of particular interest are interdisciplinary studies exploring wearable AI, human activity understanding, and real-time body interaction in domains such as personalized health, context-aware computing, co-monitoring systems, and embodied game interaction where BANs facilitate the sensing and analysis of both the human body and associated wearable or robotic structures for enhanced monitoring, safety, privacy, and interaction.
Both original research and review articles are welcome. Relevant areas include, but are not limited to, the following:
- Intelligent health management and signal processing;
- Wearable and implantable sensor systems for health and motion monitoring;
- Human activity recognition, gesture tracking, and behavior analysis;
- Structural health monitoring and human–structure co-monitoring systems;
- Assistive and accessibility-oriented applications using BANs;
- LLMs AI for BAN-enhanced systems and user interaction;
- BAN-based interaction in VR/AR, physical computing, and exergames;
- Signal fusion from IMU, EMG, EEG, ECG, piezoelectric, and optical sensors;
- Edge AI and federated learning for on-device BAN applications;
- Localization and wireless communication;
- BAN-enabled assistive and accessibility technologies;
- BAN applications in VR/AR, sports, rehabilitation, and gaming;
- Standardization, deployment challenges, and scalability issues;
- Security, privacy, and trust with BAN.
Dr. Xiang Li
Dr. Lei Jing
Guest Editors
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.
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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
- body area networks (BANs)
- wearable sensors
- signal processing
- structural health monitoring (SHM)
- human–structure co-monitoring
- artificial intelligence (AI)
- large language models (LLMs)
- human activity recognition
- sensor fusion and multimodal data
- embodied game interaction
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