Multimodal Sensing and Computing and Their Monitoring Applications
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".
Deadline for manuscript submissions: 25 November 2025 | Viewed by 33
Special Issue Editors
Interests: mobile and pervasive computing; multimodal sensing; sensing system security; federated learning
Interests: affective computing; multimodal perception; system; wireless security; signal processing
Special Issues, Collections and Topics in MDPI journals
Interests: integrated sensing and communications; semantic sensing and communications; multimodal generative models
Interests: high performance reconfigurable hardware; ultra-fast signal sampling and processing; mobile sensing; deep learning; signal processing; embedded system design
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent years, we have witnessed remarkable advancements in multimodal sensing technologies that combine different sensing modalities to achieve enhanced perception capabilities. This integration of multiple sensing technologies—such as RF-based sensing (Wi-Fi, UWB, and radars), vision-based sensing, acoustic sensing, and other modalities—has enabled unprecedented monitoring applications across various domains including healthcare, human–computer interactions, smart environments, and autonomous systems.
The convergence of these sensing technologies with advanced computing paradigms, particularly deep learning and federated learning, has further pushed the boundaries of what is possible in terms of accuracy, robustness, and privacy preservation. These multimodal systems can now detect, track, and recognize human activities, vital signs, and environmental changes with higher precision, even in challenging scenarios involving occlusions, movements, or multiple subjects.
This Special Issue aims to compile original research and review articles on recent advances, technologies, solutions, applications, and challenges in multimodal sensing systems and their monitoring applications. We particularly welcome contributions that explore the synergies between different sensing modalities and computing frameworks to address complex monitoring challenges.
Potential topics include, but are not limited to, the following:
- Integration of RF and vision sensing for enhanced monitoring;
- Contact-free vital sign monitoring through multimodal sensing;
- Multimodal human activity recognition and tracking;
- Federated learning for distributed multimodal sensing systems;
- Robust sensing in challenging environments (occlusions, motion, and multi-person);
- Privacy-preserving multimodal sensing techniques;
- Autonomous driving applications with multimodal sensing;
- Edge computing for real-time multimodal sensing;
- Novel signal processing techniques for multimodal data fusion;
- Wearable and ambient sensing integrations;
- Deep learning approaches for interpreting multimodal sensor data;
- Multimodal sensing for healthcare monitoring;
- Through-wall sensing and monitoring applications;
- Novel RF sensing technologies (UWB, Wi-Fi, and mmWave);
- Multimodal sensing for security and authentication.
We look forward to your contributions.
Dr. Tianyue Zheng
Dr. Jinyang Huang
Dr. Jingzhi Hu
Dr. Chao Cai
Guest Editors
Manuscript Submission Information
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Keywords
- multimodal sensing
- RF sensing
- vital sign monitoring
- human activity recognition
- deep learning
- federated learning
- contact-free sensing
- Wi-Fi sensing
- UWB radar
- multimodal data fusion
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