Human activity recognition (HAR) is an essential component of ambient assistive living. HAR
has traditionally relied on computer vision techniques. However, it has several drawbacks …

Human activity recognition (HAR) based on wearable sensors has developed as a new
study topic in the domains of artificial intelligence and pattern recognition. HAR has a wide …

Human activity recognition (HAR) is a key component of ambient-assisted living and one of
the most active areas of research in the Internet of Things (IoT). The use of wearable and …

The Human Activity Recognition (HAR) is a pattern recognition task that learns to identify
human physical activities recorded by different sensor modalities. The application areas …

Non-intrusive sensor based human activity recognition (HAR) is utilized in a spectrum of
applications including fitness tracking devices, gaming, health care monitoring, and …

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

Human activity recognition (HAR) has become ubiquitous in modern daily life, and thus
requires robust classification algorithms. Accelerometers are the most commonly used …

Abstract Human Activity Recognition (HAR) has earned a lot of importance in recent years
due to its applications in various domains including smart healthcare, entertainment …

Human activity recognition has gained a lot of attention in recent years as it has many
potential applications, such as in smart homes, healthcare and sport monitoring. Sensors in …

As a significant role in healthcare and sports applications, human activity recognition (HAR)
techniques are capable of monitoring humans' daily behavior. It has spurred the demand for …