Human activity recognition (HAR) has grown more important in the domains of pervasive
computing, human behavior analysis, assistive health care, and Human–Computer …

Human activity recognition (HAR) has become a significant area of research in human
behavior analysis, human–computer interaction, and pervasive computing. Recently, deep …

It is undeniable that mobile devices have become an inseparable part of human's daily
routines due to the persistent growth of high-quality sensor devices, powerful computational …

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 …

Behavior recognition technologies based on sensor devices show strong development
potential as sensor devices are increasingly applied in people's lives. However, some …

In the past years, traditional pattern recognition methods have made great progress.
However, these methods rely heavily on manual feature extraction, which may hinder the …

Human activity recognition (HAR) is necessary in numerous domains, including medicine,
sports, and security. This research offers a method to improve HAR performance by using a …

Sensor-based human activity recognition has been widely used in various fields; however,
there are still challenges involving recognition of daily complex human activities using …

Human activity recognition (HAR) can be exploited to great benefits in many applications,
including elder care, health care, rehabilitation, entertainment, and monitoring. Many …

Human activity recognition (HAR) is the process of identifying daily living activities using a
set of sensors and optimal learning algorithms. It is a convoluted process, as there is no …