Human activity recognition (HAR) has attracted considerable research attention due to its
essential role in various domains, ranging from healthcare to security, safety, and …

Human mesh reconstruction is essential for various applications, including virtual reality,
motion capture, sports performance analysis, and healthcare monitoring. In healthcare …

Inadequate training poses a significant risk of injury among young firefighters. Although
Human Activity Recognition (HAR) algorithms have shown potential in monitoring and …

Complex human activity recognition (CHAR) remains a pivotal challenge within ubiquitous
computing, especially in the context of smart environments. Existing studies typically require …

Abstract Human Action Recognition (HAR) is a challenging domain in computer vision,
involving recognizing complex patterns by analyzing the spatiotemporal dynamics of …

The distribution shifts between training and test data typically undermine the performance of
deep learning models. In recent years, lots of work pays attention to domain generaliza-tion …

Alzheimer's Disease (AD) and related dementia are a growing global health challenge due
to the aging population. In this paper, we present ADMarker, the first end-to-end system that …

Abstract Autism Spectrum Disorder (ASD) is characterized by challenges in social
communication and restricted patterns, with motor abnormalities gaining traction for early …

The increasing availability of low-cost wearable devices and smartphones has significantly
advanced the field of sensor-based human activity recognition (HAR), attracting …

In recent years, self-supervised learning (SSL) frameworks have been extensively applied to
sensor-based Human Activity Recognition (HAR) in order to learn deep representations …