Abstract Human Activity Recognition (HAR) is an essential task in various applications such
as pervasive healthcare, smart environment, and security and surveillance. The need to …

The Assisted Living Environments Research Area–AAL (Ambient Assisted Living), focuses
on generating innovative technology, products, and services to assist, medical care and …

Computing devices that can recognize various human activities or movements can be used
to assist people in healthcare, sports, or human–robot interaction. Readily available data for …

Nowadays, people use smart devices everywhere and for different applications such as
healthcare. The Internet of Healthcare Things (IoHT) generates enormous amounts of data …

Over the past few years, Federated Learning (FL) has become an emerging machine
learning technique to tackle data privacy challenges through collaborative training. In the …

Abstract Human Activity Recognition (HAR) is an active research topic as it finds use in
many real-world applications such as health monitoring and biometric user identification …

This paper introduces a novel spatiotemporal feature representation model designed to
address the limitations of traditional methods in multidimensional time series (MTS) analysis …

Human activity recognition (HAR) performs a vital function in various fields, including
healthcare, rehabilitation, elder care, and monitoring. Researchers are using mobile sensor …

Over the last few years, human activity recognition (HAR) has drawn increasing interest from
the scientific community. This attention is mainly attributable to the proliferation of wearable …

Abstract The Human Activity Recognition (HAR) problem leverages pattern recognition to
classify physical human activities as they are captured by several sensor modalities. Remote …