Nowadays, Human Activity Recognition (HAR) is being widely used in a variety of domains,
and vision and sensor-based data enable cutting-edge technologies to detect, recognize …

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 …

Time series feature extraction is one of the preliminary steps of conventional machine
learning pipelines. Quite often, this process ends being a time consuming and complex task …

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

The remote sensing (RS) field has an increasing research interest in using deep learning
(DL) models to recognize kinds of RS data, leading to a great demand for training data …

Collecting and analyzing the vast amount of information available in the solid-state
chemistry literature may accelerate our understanding of materials synthesis. However, one …

Human activity recognition (HAR) using inertial motion data has gained a lot of momentum
in recent years both in research and industrial applications. From the abstract perspective …

Currently, many applications have emerged from the implementation of software
development and hardware use, known as the Internet of things. One of the most important …

Automatic recognition of bedridden patients' physical activity has important applications in
the clinical process. Such recognition tasks are usually accomplished on visual data …

Human Activity Recognition (HAR) simply refers to the capacity of a machine to perceive
human actions. HAR is a prominent application of advanced Machine Learning and Artificial …