Human-Centric Wireless Sensing: Localization, Monitoring and Activity Understanding
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".
Deadline for manuscript submissions: 28 February 2027 | Viewed by 57
Editors
Interests: passive radar; activity recognition; remote sensing; ISAC; digital health
Special Issues, Collections and Topics in MDPI journals
Interests: integrated sensing; computation and communication; wireless sensor networks; mobile edge computing
Special Issues, Collections and Topics in MDPI journals
Interests: active radar; passive radar; through-the-wall sensing; activity recognition; remote sensing; signal processing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Wireless sensing has gained significant importance for various applications, including smart homes, healthcare, human–computer interaction and Internet of Things. By analyzing wireless signals reflected or blocked by the human body, sensing systems can detect human presence, estimate location, and monitor vital signs without requiring users to carry dedicated devices. Recent advances in wireless communication, artificial intelligence, and edge computing have greatly expanded the capability of wireless sensing for human sensing. This Special Issue aims to gather the latest advances in research and developments in human-centric wireless sensing. Topics of interest for this Special Issue include, but are not limited to, the following:
- Millimeter-wave and MIMO sensing systems;
- Machine learning and deep learning for wireless sensing;
- Sensor fusion and multi-modal sensing technologies;
- Real-world deployment, datasets, and performance evaluation;
- Wireless sensing for indoor localization and tracking;
- Vital sign monitoring.
Dr. Wenda Li
Dr. Yue Tian
Dr. Shelly Vishwakarma
Guest Editors
Manuscript Submission Information
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Keywords
- human-centric
- wireless sensing
- machine learning
- sensor fusion
- indoor localization
- vital sign monitoring
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