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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التفاصيل البيبلوغرافية

الحاوية / القاعدة:	Frontiers in Computational Neuroscience
المؤلفون الرئيسيون:	Fawad Khan, Syed Yaseen Shah, Jawad Ahmad, Alanoud Al Mazroa, Adnan Zahid, Muhammed Ilyas, Qammer Hussain Abbasi, Syed Aziz Shah
التنسيق:	مقال
اللغة:	الإنجليزية
منشور في:	Frontiers Media S.A. 2025-06-01
الموضوعات:	federated learning human activity recognition non-independent and identically distributed (non-IID) data localization weighted averaging
الوصول للمادة أونلاين:	https://www.frontiersin.org/articles/10.3389/fncom.2025.1612928/full