Abstract The research in Human Activity Recognition (HAR) using wearable probes and
pocket devices has intensified to further understand and inherently foresee human behavior …

To understand human behavior and intrinsically anticipate human intentions, research into
human activity recognition HAR) using sensors in wearable and handheld devices has …

Nowadays the deluge of data is increasing with new technologies coming up daily. These
advancements in recent times have also led to an increased growth in fields like Robotics …

Human Activity Recognition (HAR) has been widely used for various applications, such as
smart homes, healthcare, security and human-robot interaction. In this paper, a novel deep …

The practice of recognizing different forms of human activities is known as human activity
recognition (HAR). We are using two deep learning architectures LSTM and CNN for …

Human Activity Recognition has gained greater emphasize in the last few years due to its
widespread applicability and psychological curiosity. This system can be adopted in …

Effective human activity recognition can be incredibly beneficial in big data applications like
ambient healthcare-supported living. Deep learning (DL) techniques have considerably …

Human activity recognition (HAR) plays an important role in every spheres of life as it assists
in fitness tracking, health monitoring, elderly care, user authentication and management of …

Traditional pattern recognition methods have shown improvements in recent years.
However, these techniques relied on human intervention to identify crucial information within …

Human activity recognition (HAR) is one of the core research themes in ubiquitous and
wearable computing. With the shift to deep learning (DL) based analysis approaches, it has …