With the propagation of sensor devices applied in smart home, activity recognition has
ignited huge interest and most existing works assume that there is only one habitant. While …

Traditional pattern recognition approaches have gained a lot of popularity. However, these
are largely dependent upon manual feature extraction, which makes the generalized model …

Human activity recognition (HAR) has become a significant area of research in human
behavior analysis, human–computer interaction, and pervasive computing. Recently, deep …

Abstract The field of Human Activity Recognition (HAR) has experienced a significant surge
in interest due to its essential role across numerous areas, including human–computer …

Multi-sensor based human activity recognition is one of the challenges in the ambient
intelligent environments such as smart home and smart city. Ordinary people in their daily …

Human activity recognition (HAR) is the process of identifying daily living activities using a
set of sensors and optimal learning algorithms. It is a convoluted process, as there is no …

Applying deep learning to IoT data classification would yield deeper and more useful
insights. IoT field is very wide and has several applications. In this paper we focus on smart …

Human Activity Recognition and Home Automation have been important topics of interest to
many researchers in recent years. Due to its numerous benefits, home automation is …

Due to the breadth of its application domains, Hu-man Activity Recognition (HAR) is a
problematic area of human-computer interaction. HAR can be used in remote monitoring of …

Human activity recognition (HAR) has been regarded as an indispensable part of many
smart home systems and smart healthcare applications. Specifically, HAR is of great …