Leveraging Online Learning for Domain-Adaptation in Wi-Fi-Based Device-Free Localization
Queen's University Belfast · University of Science and Technology Beijing
Abstract
Wi-Fi-based device-free localization (DFL) will be an integral part of many emerging applications, such as smart healthcare and smart homes. One popular approach to DFL in Wi-Fi makes use of fingerprinting based on channel state information (CSI). Unfortunately, high-quality fingerprints cannot easily be obtained in many real-world environments due to the complicated, time-varying and multipath conditions which exist. Additionally, existing methods struggle to update the DFL models in a real-time manner to track changes of environment. To address these issues, an online data-driven modelling DFL framework is designed for robustness enhancement. Specifically, the raw CSI data is first augmented with the hidden…
Citation impact
- FWCI
- 33.70
- Percentile
- 100%
- References
- 80
Authors
4Topics & keywords
- Computer science
- Domain adaptation
- Adaptation (eye)
- Domain (mathematical analysis)
- Computer network
- Human–computer interaction
- Artificial intelligence