Detecting stress when performing physical activities is an interesting field that has received
relatively little research interest to date. In this paper, we took a first step towards redressing …

Human activity recognition has been widely used in healthcare applications such as elderly
monitoring, exercise supervision, and rehabilitation monitoring. Compared with other …

With the increasing number of mobile devices and IoT devices across a wide range of real-
life applications, our mobile cloud computing devices will not cope with this growing number …

Human activity recognition (HAR) is widely applied to many industrial applications. In the
context of Industry 4.0, driven by the same demand of machines' self-organizing ability, HAR …

Data science techniques have increasing importance in medical data analysis, including
detecting and predicting the probability of contracting a disease. A large amount of medical …

Human activity recognition (HAR) is a domain that has a great deal of interest in recent
years. Because it's used in various application domains like (critical situations for the elderly …

Abstract Electronic Health Records (EHRs) enabled to store and process data recorded by
sensors would mean standard-based personalization of medical services and would be a …

Most typical data mining techniques are developed based on training the batch data which
makes the task of mining the data stream represent a significant challenge. On the other …

The area of research is related to the issue of including personalized health data collected
via the Internet of Medical Things (IoMT) devices, such as personal tracking devices, into the …

In wireless sensor networks (WSN), energy efficiency is an important issue, since the sensor
nodes act as both data originator and data router. The sink functionality typically includes …