The research area of ambient assisted living has led to the development of activity
recognition systems (ARS) based on human activity recognition (HAR). These systems …

This paper serves as a survey and empirical evaluation of the state-of-the-art in activity
recognition methods using accelerometers. The paper is particularly focused on long-term …

Edge computing aims to integrate computing into everyday settings, enabling the system to
be context-aware and private to the user. With the increasing success and popularity of deep …

With advances in machine learning and ambient sensors as well as the emergence of
ambient assisted living (AAL), modeling humans' abnormal behaviour patterns has become …

It can be tempting to think about smart homes like one thinks about smart cities. On the
surface, smart homes and smart cities comprise coherent systems enabled by similar …

Human activity recognition can deduce the behaviour of one or more people from a set of
sensor measurements. Despite its widespread applications in monitoring activities, robotics …

This paper outlines the Sensor Platform for HEalthcare in Residential Environment
(SPHERE) project and details the SPHERE challenge that will take place in conjunction with …

Human activity recognition has been growing for decades in a variety of technological
disciplines. However, in the existing WiFi-based human activity recognition systems, there …

This paper introduces the smart classroom learning model based on the concept of ambient
intelligence. By analyzing a smart classroom, the ambient intelligence system detects a …

This survey article explores graph-based approaches to multimodal human activity
recognition in indoor environments, emphasizing their relevance to advancing multimodal …