Human activity recognition, or HAR for short, is a process of interpreting specific human
motion based on sensor data. HAR has many human-centric applications, notably in …

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 …

In smart and intelligent health care, smartphone sensor-based automatic recognition of
human activities has evolved as an emerging field of research. In many application domains …

Recognizing human activities and the context in which they occur form sensor data is at the
core of many research areas in pervasive computing and has extensive applications in …

The traditional methods of recognizing human activities involve typical machine learning
(ML) algorithms which uses heuristic engineered features. Human activities are dynamic in …

Recently, the rapid growth of artificial intelligence has led to the deployment of Deep
learning techniques for Human Activity Recognition (HAR) issues. Lately, this application …

With the development of mobile communication human activity recognition (HAR) with
smartphones has attracted a lot of attentions in recent years. On the other hand, the …

Human activity recognition (HAR) is a rapidly growing field of research that aims to
automatically identify and classify human motions and activities from different tracking …

Abstract Human Activity Recognition (HAR) can be defined as the automatic prediction of the
regular human activities performed in our day-to-day life, such as walking, running, cooking …

Motion or inertial sensors such as gyroscope and accelerometer commonly found in
smartwatches and smartphones can measure characteristics such as acceleration and …