Kavli Affiliate: Jia Liu
| First 5 Authors: Mahathir Monjur, Jia Liu, Jingye Xu, Yuntong Zhang, Xiaomeng Wang
| Summary:
This paper examines the application of WiFi signals for real-world monitoring
of daily activities in home healthcare scenarios. While the state-of-the-art of
WiFi-based activity recognition is promising in lab environments, challenges
arise in real-world settings due to environmental, subject, and system
configuration variables, affecting accuracy and adaptability. The research
involved deploying systems in various settings and analyzing data shifts. It
aims to guide realistic development of robust, context-aware WiFi sensing
systems for elderly care. The findings suggest a shift in WiFi-based activity
sensing, bridging the gap between academic research and practical applications,
enhancing life quality through technology.
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