This paper presents a novel system based on the Internet of Things (IoT) to Human Activity
Recognition (HAR) by monitoring vital signs remotely. We use machine learning algorithms …

This paper presents an Internet of Things (IoT) approach to Human Activity Recognition
(HAR) using remote monitoring of vital signs in the context of a healthcare system for self …

Activity recognition systems can detect human physical activities to support the assessment
of health conditions. Among approaches of activity recognition systems were researched …

Human activity recognition (HAR) is currently recognized as a key element of a more
general framework designed to perform continuous monitoring of human behaviors in the …

We propose to perform wearable sensors-based human physical activity recognition. This is
further extended to an Internet-of-Things (IoT) platform which is based on a web-based …

Abstract Human Activity Recognition (HAR) is a challenging task in the field of human-
related signal processing. Owing to the development of wearable sensing technology, an …

In recent years, automatic human activity recognition has drawn much attention. On one
hand, this is due to the rapid proliferation and cost degradation of a wide variety of sensing …

Human activity recognition using wearable devices has been actively investigated in a wide
range of applications. Most of them, however, either focus on simple activities wherein whole …

Automatic activity recognition systems aim to capture the state of the user and its
environment by exploiting heterogeneous sensors, and permit continuous monitoring of …

The rapid developments in information and communication technologies and wireless
communication networks have led to the utilization of the smart sensors. In modern …