Human Activity Recognition (HAR) employing inertial motion data has gained considerable
momentum in recent years, both in research and industrial applications. From the abstract …

Deep learning models have recently attracted great interest as an effective solution to the
challenging problem of human activity recognition (HAR) and its widespread applications in …

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 the field of machine intelligence and ubiquitous computing, there has been a growing
interest in human activity recognition using wearable sensors. Over the past few decades …

In the original belief function (BF) theory, a precise-valued belief structure has been widely
used to represent uncertain information. However, this mentioned belief structure is difficult …

Existing wearable systems that use G-sensors to identify daily activities have been widely
applied for medical, sports and military applications, while body temperature as an obvious …

Human activity recognition (HAR) using machine learning (ML) methods has been a
continuously developed method for collecting and analyzing large amounts of human …

Human activity recognition (HAR) using wearable sensors is an increasingly active research
topic in machine learning, aided in part by the ready availability of detailed motion capture …

Human motion analysis using a smartphone-embedded accelerometer sensor provided
important context for the identification of static, dynamic, and complex sequence of activities …

Many potential applications of human activity recognition (HAR) can be found in health,
surveillance, manufacturing, sports, and so on. For instance, HAR can be exploited in …