The recent enhancement of computerized electronic gadgets has led to the acceptance of
smart home sensing applications, stimulating a need for related services and products. As a …

Human Activity Recognition (HAR) is a field that infers human activities from raw time-series
signals acquired through embedded sensors of smartphones and wearable devices. It has …

Many smart home applications rely on indoor human activity recognition. This challenge is
currently primarily tackled by employing video camera sensors. However, the use of such …

Human behavior modeling in smart environments is a growing research area treating
several challenges related to ubiquitous computing, pattern recognition, and ambient …

With the advancement of artificial intelligence, smart home has attracted much attention from
scholars. Human Activity Recognition (HAR) is a crucial foundation for various applications …

In the past two decades, a large number of artificial intelligence (AI) systems have been
developed in many areas, including computer vision, data mining, machine learning, natural …

Human activity recognition using smart home sensors is one of the bases of ubiquitous
computing in smart environments and a topic undergoing intense research in the field of …

Recently, deep learning (DL) approaches have been extensively employed to recognize
human activities in smart buildings, which greatly broaden the scope of applications in this …

Advances in smart home technology and IoT devices had made us capable of monitoring
human activities in a non-intrusive way. This data, in turn, enables us to predict the health …

To solve the limitation problem of traditional human activity recognition (HAR) tasks which
use features extracted manually and some shallow machine learning models, a novel multi …