Data Distribution Dynamics in Real-World WiFi-Based Patient Activity Monitoring for Home Healthcare

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 s...

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Main Authors Monjur, Mahathir, Liu, Jia, Xu, Jingye, Zhang, Yuntong, Wang, Xiaomeng, Li, Chengdong, Park, Hyejin, Wang, Wei, Shieh, Karl, Munir, Sirajum, Wang, Jing, Song, Lixin, Nirjon, Shahriar
Format Journal Article
LanguageEnglish
Published 03.02.2024
Subjects
Computer Science - Learning
Computer Science - Systems and Control
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DOI10.48550/arxiv.2402.09452

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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.
DOI:10.48550/arxiv.2402.09452