This paper firstly introduces common wearable sensors, smart wearable devices and the key
application areas. Since multi-sensor is defined by the presence of more than one model or …

Sensor technologies have improved the everyday life of human beings through their
applications in almost all fields. Sensors are devices that detect changes in the …

Obesity and laziness are some of the common issues in the majority of the youth today. This
has led to the development of a proposed exergaming solution where users can play first …

Traffic monitoring is of outmost importance in today's modern world. In the past, stationary
data collectors such as video cameras and induction loops were used for this task. However …

Automated and accurate diagnosis of Acute Lymphoblastic Leukemia (ALL), blood cancer, is
a challenging task. Nowadays, Convolutional Neural Networks (CNNs) have become a …

Automated human posture estimation (A-HPE) systems need delicate methods for detecting
body parts and selecting cues based on marker-less sensors to effectively recognize …

Abstract Human Activity Recognition (HAR) involves the recognition of human activities
using sensor data. Most of the techniques for HAR involve hand-crafted features and hence …

Introduction Falls are a major cause of accidents that can lead to serious injuries, especially
among geriatric populations worldwide. Ensuring constant supervision in hospitals or smart …

Automatic identification of human interaction is a challenging task especially in dynamic
environments with cluttered backgrounds from video sequences. Advancements in computer …

In the recent past, recognition of human locomotion activities has become a growing
research area. Health monitoring, detection of a crowd's behavior and indoor-localization …