The vast proliferation of sensor devices and Internet of Things enables the applications of
sensor-based activity recognition. However, there exist substantial challenges that could …

Sensor-based activity recognition seeks the profound high-level knowledge about human
activities from multitudes of low-level sensor readings. Conventional pattern recognition …

Human activity recognition based on wearable sensor data has been an attractive research
topic due to its application in areas such as healthcare and smart environments. In this …

Human activity recognition systems are developed as part of a framework to enable
continuous monitoring of human behaviours in the area of ambient assisted living, sports …

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 …

Human Activity Recognition using embedded sensors has lately made renowned
development and is drawing growing attention in numerous application domains including …

Feature-engineering-based machine learning models and deep learning models have been
explored for wearable-sensor-based human activity recognition. For both types of methods …

Human activity recognition (HAR) is a promising research issue in ubiquitous and wearable
computing. However, there are some problems existing in traditional methods: 1) They treat …

Mobile and wearable devices have enabled numerous applications, including activity
tracking, wellness monitoring, and human–computer interaction, that measure and improve …

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