Abstract Human Activity Recognition (HAR) plays a significant role in the everyday life of
people because of its ability to learn extensive high-level information about human activity …

A rapidly expanding global population and a sizeable portion of it that is aging are the main
causes of the significant increase in healthcare costs. Healthcare in terms of monitoring …

In action recognition, although the combination of spatio-temporal videos and skeleton
features can improve the recognition performance, a separate model and balancing feature …

Multivariate time series classification (MTSC) based on deep learning (DL) has attracted
increasingly more research attention. The performance of a DL-based MTSC algorithm is …

Human activity recognition (HAR) is an essential task in many applications such as health
monitoring, rehabilitation, and sports training. Sensor-based HAR has received increasing …

Wearable devices and smart sensors are increasingly adopted to monitor the behaviors of
human and artificial agents. Many applications rely on the capability of such devices to …

The rise of intelligent systems and smart spaces has opened up new opportunities for
human–machine collaborations. Interactive Machine Learning (IML) contribute to fostering …

Abstract The Internet of Things (IoT) in the healthcare system is rapidly changing from the
conventional hospital and concentrated specialist behavior to a distributed, patient-centric …

We present MoCaPose, a novel wearable motion capturing (MoCap) approach to
continuously track the wearer's upper body's dynamic poses through multi-channel …

Growth and advancement of the Deep Learning (DL) and the Internet of Things (IoT) are
figuring out their way over the modern contemporary world through integrating various …