Human Activity Recognition (HAR) has been attempted by various sensor modalities like
vision sensors, ambient sensors, and wearable sensors. These heterogeneous sensors are …

Many researchers devote themselves to studying various aspects of Human Activity
Recognition (HAR), such as data analysis, signal processing, feature extraction, and …

Human activity recognition (HAR) is a complex and multifaceted problem. The research
community has reported numerous approaches to perform HAR. Along with HAR …

1 Background In this digital age, human activity recognition (HAR) plays an increasingly
important role in almost all aspects of life to improve people's quality of life, such as auxiliary …

Human activity recognition (HAR) technology that analyzes data acquired from various types
of sensing devices, including vision sensors and embedded sensors, has motivated the …

Human activity recognition (HAR) has become an intensive research topic in the past
decade because of the pervasive user scenarios and the overwhelming development of …

Sensor-based motion recognition integrates the emerging area of wearable sensors with
novel machine learning techniques to make sense of low-level sensor data and provide rich …

Human Activity Recognition (HAR) currently confronts the challenge of interpreting massive
data streams to a significantly smaller number of activities. Thus, feature selection should be …

Due to the ever-growing powers in sensing, computing, communicating and storing, mobile
devices (eg, smartphone, smartwatch, smart glasses) become ubiquitous and an …

Abstract Human Activity Recognition (HAR) has become a vibrant research field over the last
decade, especially because of the spread of electronic devices like mobile phones, smart …