Designing an activity recognition system that models various activities of an occupant is the
fundamental task in creating a smart home. Activity Recognition (AR) modeling, has …

Human activity recognition (HAR) essentially uses (past) sensor data or complex context
information for inferring the activities a user performs in his daily tasks. HAR has been …

This scoping review paper redefines the Artificial Intelligence-based Internet of Things (AIoT)
driven Human Activity Recognition (HAR) field by systematically extrapolating from various …

Human behavior recognition is one of the significant components of Ambient Assisted Living
(AAL) systems and personal assistive robots allowing to improve the quality of their lives in …

Activity recognition has a vital role in smart home operations. One of the major challenges in
object-sensor-based activity recognition is to learn the complete activity model derived from …

Smart environment has been evolved as a hot research topic with the development of
machine learning algorithms and wireless communication technologies. Existing smart …

Everyone is moving towards smart era rapidly with new technologies. This paper focuses on
monitoring a building from a remote place to ensure the activities happening in particular …

In this paper, the maximal relevance feature selection method has been applied to rank the
features, and then, the feature subsets have be composed according to the value of mutual …

Smart home is a ubiquitous environment that aims to offer Ambient Assisted Living (AAL) to
its occupants. The activity modeling framework proposed in this research work skillfully …

Considering the real social community network partition approach regardless of the directed
and weighted characteristic, we propose a novel algorithm in pervasive sensing …