Advanced Signal Processing and Multimodal Sensing for Human–Machine Interaction and Health Monitoring
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".
Deadline for manuscript submissions: 15 April 2027 | Viewed by 21
Editors
Interests: bio-measurement; thermal imaging processing; data mining; biomedical signal processing; machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: biomedical signal processing; physiological modeling
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Recent advances in wearable devices, contactless sensors, artificial intelligence and embedded computing are creating new opportunities for intelligent human–machine interaction and continuous health monitoring. However, signals acquired in real-world environments are often affected by motion artifacts, environmental interference, physiological variability, missing data and differences among sensing modalities. Addressing these challenges requires advanced signal-processing methods capable of extracting reliable, interpretable and clinically meaningful information from complex multimodal data.
This Special Issue focuses on emerging theories, algorithms, systems and applications related to advanced signal processing and multimodal sensing for human-centered technologies. Topics of interest include, but are not limited to, multimodal sensor fusion, physiological signal analysis, wearable and contactless sensing, radar- and vision-based monitoring, biomedical image and signal processing, machine learning and deep learning, artifact suppression, feature extraction, human activity and intention recognition, affective computing, rehabilitation systems, assistive technologies and intelligent healthcare.
Dr. Guanghao Sun
Dr. Xiao-Rong Ding
Prof. Dr. Takemi Matsui
Guest Editors
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Keywords
- multimodal sensing
- signal processing
- wearable sensors
- human–machine interaction
- human activity recognition
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