Rehabilitation and elderly monitoring for active aging can benefit from Internet of Things
(IoT) capabilities in particular for in-home treatments. In this paper, we consider two …

Recent advancements in visual sensor technologies have made behavior analysis practical
for in-home monitoring systems. The current in-home monitoring systems face several …

Support vector machine (SVM) has been often used in binary classification. In order to seek
the guidance principles of the kernel function selection, this paper analyzed a variety of …

Human activity recognition (HAR) is a promising field which has a wide range of applications
in medicine, electronic forensics and Internet of Things. Until now, existing works generally …

With the rapid development in sensing technology, data mining, and machine learning fields
for human health monitoring, it became possible to enable monitoring of personal motion …

The proven approach successfully recognizes the activity of daily living is a classifier training
on feature vectors created from streamed sensor data. However, there is still room to …

The general purpose of smart homes and smart offices is to provide people with
personalized experiences according to their behaviors and intentions. The foundation of a …

At present time, aging of the population is one of the main challenges of the 21st century.
The current situation is leading to an increased number of people afflicted with cognitive …

We present an occupancy forecast method in a smart home context based on the
exploitation of environmental measures such as CO2, sound or relative humidity. This article …

Sensor networks and data analytics for wellness monitoring Universiteit Gent Add
publications and datasets Lists Sign in Academic Bibliography Search 200 years of …