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

Mahathir Monjur, Jia Liu, Jingye Xu, Yuntong Zhang, Xiaomeng Wang, Chengdong Li, Hyejin Park, Wei Wang, Karl Shieh, Sirajum Munir, Jing Wang, Lixin Song, Shahriar Nirjon

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper examines the application of WiFi signals for real-world monitoring of daily activities in home health-care 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 involves 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 that a shift in WiFi data can come from various sources such as unseen environment and user, degrading the performance of WiFi-based activity sensing systems. While conventional domain shift techniques can partially mitigate data shift effects, further research is warranted to bridge the gap between academic research and practical applications.

Original languageEnglish (US)
Title of host publicationProceedings - 2024 IEEE 12th International Conference on Healthcare Informatics, ICHI 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages228-233
Number of pages6
ISBN (Electronic)9798350383737
DOIs
StatePublished - 2024
Event12th IEEE International Conference on Healthcare Informatics, ICHI 2024 - Orlando, United States
Duration: Jun 3 2024Jun 6 2024

Publication series

NameProceedings - 2024 IEEE 12th International Conference on Healthcare Informatics, ICHI 2024

Conference

Conference12th IEEE International Conference on Healthcare Informatics, ICHI 2024
Country/TerritoryUnited States
CityOrlando
Period6/3/246/6/24

Keywords

  • activity recognition
  • real-world dataset shift
  • WiFi sensing

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Information Systems and Management
  • Statistics, Probability and Uncertainty
  • Health Informatics

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