A Federated Learning-Based Framework for Accurately Identifying Human Activity in the Environment

A Federated Learning-Based Framework for Accurately Identifying Human Activity in the Environment

Human Activity Recognition (HAR) refers to the detection of people’s activities during daily life using various types of sensors. Machine learning (ML) has contributed to recording many human activities and plays a meaningful role in Human Activity Recognition. Analysis of the data genera...

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Bibliographic Details
Main Authors: Nwadher Suliman Al-Blihed, Dina M. Ibrahim
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Federated learning
human activity recognition
convolutional neural network
long short-term memory
residual networks
Online Access:https://ieeexplore.ieee.org/document/11052285/
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https://ieeexplore.ieee.org/document/11052285/

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