2013 / Artigos Científicos

A Dynamic Evidential Network for Fall Detection

This study is part of the development of a remote home healthcare monitoring application designed to detect distress situations through several types of sensors. The multisensor fusion can provide more accurate and reliable information compared to information provided by each sensor separately. Furthermore, data from multiple heterogeneous sensors present in the remote home healthcare monitoring…

2013 / Artigos Científicos

A Home Care Prototype Based On The Brazilian Digital Tv For a Health Management System

Abstract: Systems based on Information and Communication Technology have been designed to meet needs related to the management of processes involved in home care activities. However, most products on the market today are expensive and there is a great need of low-cost products, accessible to all people in disadvantage (Classes D and E). This paper presents the Diga-Saúde, a low-cost prototype that provides home care services through a main user Digital TV Interactive interface. It takes advantage of the popularity scheduled for the Brazilian Digital TV. The Diga-Saúde has been used on the LARIISA project, a governance decision-making support model for public health systems centered on the family. To connect LARIISA and the Diga-Saúde, we use LISA – LARIISA Integration System – a highly expansible system that aims at facilitating the inclusion and exclusion of context providers, even if they have not originally been conceived for the LARIISA interface.

2013 / Artigos Científicos

Evidential Network-Based Multimodal Fusion for Fall Detection

The multi-sensor fusion can provide more accurate and reliable information compared to information from each sensor separately taken. Moreover, the data from multiple heterogeneous sensors present in the medical surveillance systems have different degrees of uncertainty. Among multi-sensor data fusion techniques, Bayesian methods and Evidence theories such as Dempster-Shafer Theory (DST) are commonly used to…