Wi-Fi Sensing: Applications and Challenges
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".
Deadline for manuscript submissions: closed (25 December 2021) | Viewed by 3484
Special Issue Editor
Interests: wireless networks and mobile computing; Internet-of-Things (IoT); computer security: network system management/secure monitoring; AI-based Wi-Fi sensing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Recently, Wi-Fi sensing is attracting increasing attention as a new innovative sensing technology. Wi-Fi sensing is a technology which uses exiting Wi-Fi signals to perform sensing applications such as motion detection and gesture recognition as well as fine-grained biometric measurement. Compared with traditional approaches, it has a series of advantages and provides a compelling alternative, for instance, in that it does not require lighting, offers better coverage as it can sense through walls, and offers a high level of user privacy. As a result, it provides opportunities for home security, healthcare and service providers within enterprises and many more. This growth in Wi-Fi sensing applications brings forward an inevitable need for more efficient and intelligent processing, implementation and deployment.
While some applications can be enabled using existing standards, however, there is no standard for Wi-Fi sensing and its implementation, limiting the range of what Wi-Fi sensing can do. Consequently, new tools and methods are required to embrace a variety of Wi-Fi sensing applications.
The aim of this Special Issue is to investigate the latest research trends and recent development of new frameworks, mechanisms, and algorithms that are able to support Wi-Fi sensing technology.
Prof. Dr. Jaehyuk Choi
Guest Editor
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Keywords
- wireless sensing
- Wi-Fi Sensing
- through the wall sensing
- mmWave Sensing
- device-free human behavior recognition
- motion detection
- activity recognition
- human identification
- tracking
- Channel State Information
- indoor localization
- elderly people monitoring
- multi-person detection
- deep learning classification
- signal pre-processing
- 802.11bf
- people counting
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