Generalizing location-centric variations to enhance contactless human activity recognition

Generalizing location-centric variations to enhance contactless human activity recognition

Contactless Human Activity Recognition (HAR) has played a critical role in smart healthcare and elderly care homes to monitor patient behavior, detect falls or abnormal activities in real time. The effectiveness of non-invasive HAR is often hindered by location-centric variations in Channel State In...

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Bibliographic Details
Main Authors: Fawad Khan, Syed Yaseen Shah, Jawad Ahmad, Alanoud Al Mazroa, Adnan Zahid, Muhammed Ilyas, Qammer Hussain Abbasi, Syed Aziz Shah
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Computational Neuroscience
Subjects:
federated learning
human activity recognition
non-independent and identically distributed (non-IID) data
localization
weighted averaging
Online Access:https://www.frontiersin.org/articles/10.3389/fncom.2025.1612928/full
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https://www.frontiersin.org/articles/10.3389/fncom.2025.1612928/full

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