Machine learning research is heavily focused on human activity detection since it has
various applications in a variety of fields, including security, entertainment, ambient …

Human activity recognition is an important area of machine learning research as it has many
utilization in different areas such as sports training, security, entertainment, ambientassisted …

Human activity recognition (HAR) has been a popular fields of research in recent times.
Many approaches have been implemented in literature with the aim of recognizing and …

Abstract Human Activity Recognition (HAR) is gaining more interest in recent years due to its
growing role in many human-related sectors such as the health sector especially with elderly …

This study aims to develop a human activity recognition (HAR) system as a Deep-Learning
(DL) classification model, distinguishing various human activities. We solely rely on the …

The study of human activities has always incite researchers. The human actions are
acquired from raw time-series signals using smartphones and wearable devices' integrated …

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 …

With the advent of smart devices like smartphones and smartwatches, it is becoming very
easy to track our daily activities using the data captured by the sensors present in these …

Abstract Human Activity Recognition (HAR) is a process of recognizing human activities
automatically based on streaming data obtained from various sensors, such as, inertial …

Human activity recognition is considered one of the most promising fields of inquiry in
computer science research. The process of interpreting human body gestures to determine …