Institute of New Technologies of Leiria

Leiria, Portugal

Institute of New Technologies of Leiria

Leiria, Portugal

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Felisberto F.,Foundation for Science and Technology | Felisberto F.,University of Vigo | Fdez-Riverola F.,University of Vigo | Pereira A.,Institute of New Technologies of Leiria | Pereira A.,Polytechnic Institute of Leiria
Sensors (Switzerland) | Year: 2014

The low average birth rate in developed countries and the increase in life expectancy have lead society to face for the first time an ageing situation. This situation associated with the World's economic crisis (which started in 2008) forces the need of equating better and more efficient ways of providing more quality of life for the elderly. In this context, the solution presented in this work proposes to tackle the problem of monitoring the elderly in a way that is not restrictive for the life of the monitored, avoiding the need for premature nursing home admissions. To this end, the system uses the fusion of sensory data provided by a network of wireless sensors placed on the periphery of the user. Our approach was also designed with a low-cost deployment in mind, so that the target group may be as wide as possible. Regarding the detection of long-term problems, the tests conducted showed that the precision of the system in identifying and discerning body postures and body movements allows for a valid monitorization and rehabilitation of the user. Moreover, concerning the detection of accidents, while the proposed solution presented a near 100% precision at detecting normal falls, the detection of more complex falls (i.e., hampered falls) will require further study. © 2014 by the authors; licensee MDPI, Basel, Switzerland.


Felisberto F.,Foundation for Science and Technology | Felisberto F.,University of Vigo | Laza R.,University of Vigo | Fdez-Riverola F.,University of Vigo | And 2 more authors.
BioMed Research International | Year: 2015

In the last years the area of health monitoring has grown significantly, attracting the attention of both academia and commercial sectors. At the same time, the availability of new biomedical sensors and suitable network protocols has led to the appearance of a new generation of wireless sensor networks, the so-called wireless body area networks. Nowadays, these networks are routinely used for continuous monitoring of vital parameters, movement, and the surrounding environment of people, but the large volume of data generated in different locations represents a major obstacle for the appropriate design, development, and deployment of more elaborated intelligent systems. In this context, we present an open and distributed architecture based on a multiagent system for recognizing human movements, identifying human postures, and detecting harmful activities. The proposed system evolved from a single node for fall detection to a multisensor hardware solution capable of identifying unhampered falls and analyzing the users' movement. The experiments carried out contemplate two different scenarios and demonstrate the accuracy of our proposal as a real distributed movement monitoring and accident detection system. Moreover, we also characterize its performance, enabling future analyses and comparisons with similar approaches. © 2015 Filipe Felisberto et al.


Felisberto F.,Foundation for Science and Technology | Fdez-Riverola F.,University of Vigo | Pereira A.,Institute of New Technologies of Leiria
Sensors (Basel, Switzerland) | Year: 2014

The low average birth rate in developed countries and the increase in life expectancy have lead society to face for the first time an ageing situation. This situation associated with the World's economic crisis (which started in 2008) forces the need of equating better and more efficient ways of providing more quality of life for the elderly. In this context, the solution presented in this work proposes to tackle the problem of monitoring the elderly in a way that is not restrictive for the life of the monitored, avoiding the need for premature nursing home admissions. To this end, the system uses the fusion of sensory data provided by a network of wireless sensors placed on the periphery of the user. Our approach was also designed with a low-cost deployment in mind, so that the target group may be as wide as possible. Regarding the detection of long-term problems, the tests conducted showed that the precision of the system in identifying and discerning body postures and body movements allows for a valid monitorization and rehabilitation of the user. Moreover, concerning the detection of accidents, while the proposed solution presented a near 100% precision at detecting normal falls, the detection of more complex falls (i.e., hampered falls) will require further study.


Felisberto F.,University of Vigo | Felisberto F.,Institute of New Technologies of Leiria | Costa N.,Institute of New Technologies of Leiria | Costa N.,Polytechnic Institute of Leiria | And 3 more authors.
Sensors (Switzerland) | Year: 2012

The technological advances in medical sensors, low-power microelectronics and miniaturization, wireless communications and networks have enabled the appearance of a new generation of wireless sensor networks: the so-called wireless body area networks (WBAN). These networks can be used for continuous monitoring of vital parameters, movement, and the surrounding environment. The data gathered by these networks contributes to improve users' quality of life and allows the creation of a knowledge database by using learning techniques, useful to infer abnormal behaviour. In this paper we present a wireless body area network architecture to recognize human movement, identify human postures and detect harmful activities in order to prevent risk situations. The WBAN was created using tiny, cheap and low-power nodes with inertial and physiological sensors, strategically placed on the human body. Doing so, in an as ubiquitous as possible way, ensures that its impact on the users' daily actions is minimum. The information collected by these sensors is transmitted to a central server capable of analysing and processing their data. The proposed system creates movement profiles based on the data sent by the WBAN's nodes, and is able to detect in real time any abnormal movement and allows for a monitored rehabilitation of the user. © 2012 by the authors; licensee MDPI, Basel, Switzerland.


Filipe L.,University of Vigo | Filipe L.,Polytechnic Institute of Leiria | Fdez-Riverola F.,University of Vigo | Costa N.,Polytechnic Institute of Leiria | And 3 more authors.
International Journal of Distributed Sensor Networks | Year: 2015

Wireless Body Area Networks (WBANs) supporting healthcare applications are in early development stage but offer valuable contributions at monitoring, diagnostic, or therapeutic levels. They cover real-time medical information gathering obtained from different sensors with secure data communication and low power consumption. As a consequence of the increasing interest in the application of this type of networks, several articles dealing with different aspects of such systems have been published recently. In this paper, we compile and compare technologies and protocols published in the most recent researches, seeking WBAN issues for medical monitoring purposes to select the most useful solutions for this area of networking. The most important features under consideration in our analysis include wireless communication protocols, frequency bands, data bandwidth, transmission distance, encryption, authentication methods, power consumption, and mobility. Our study demonstrates that some characteristics of surveyed protocols are very useful to medical appliances and patients in a WBAN domain. © 2015 Luis Filipe et al.


Marcelino I.,University of Vigo | Marcelino I.,Institute of New Technologies of Leiria | Marcelino I.,Polytechnic Institute of Leiria | Lopes D.,Polytechnic Institute of Leiria | And 5 more authors.
BioMed Research International | Year: 2015

World's aging population is rising and the elderly are increasingly isolated socially and geographically. As a consequence, in many situations, they need assistance that is not granted in time. In this paper, we present a solution that follows the CRISP-DM methodology to detect the elderly's behavior pattern deviations that may indicate possible risk situations. To obtain these patterns, many variables are aggregated to ensure the alert system reliability and minimize eventual false positive alert situations. These variables comprehend information provided by body area network (BAN), by environment sensors, and also by the elderly's interaction in a service provider platform, called eServices - Elderly Support Service Platform. eServices is a scalable platform aggregating a service ecosystem developed specially for elderly people. This pattern recognition will further activate the adequate response. With the system evolution, it will learn to predict potential danger situations for a specified user, acting preventively and ensuring the elderly's safety and well-being. As the eServices platform is still in development, synthetic data, based on real data sample and empiric knowledge, is being used to populate the initial dataset. The presented work is a proof of concept of knowledge extraction using the eServices platform information. Regardless of not using real data, this work proves to be an asset, achieving a good performance in preventing alert situations. © 2015 Isabel Marcelino et al.


Marcelino I.,University of Vigo | Marcelino I.,Institute of New Technologies of Leiria | Marcelino I.,Polytechnic Institute of Leiria | Laza R.,University of Vigo | And 2 more authors.
International Journal of Distributed Sensor Networks | Year: 2016

The world population is aging and loneliness has become one of the major issues affecting the quality of life of our senior citizens. Additionally, we have observed that social computing increases social contexts through the use of Information Communication Technology (ICT). Smartphone and tablet proliferation also empower people to interact and create and share contents, strengthening newforms of communication independent of time and space.Therefore, the senior populationwould have a lot to gain by using social networks to overcome their solitude.Nevertheless, the elderly are still digitally excluded due to their lack of technological skills, as well as age-related impairments.This work presents a social network tailored for the senior population where the feelings of belonging, companionship and connectivity, well-being and interaction, meaningfulness, and emotional comfort are empowered. Our contribution aims to digitally include all seniors - independent of their educational level, literacy, or technological skills - by promoting a social network that allows them to share their life experiences, strengthen communication, improve their awareness of still playing an active and useful role in society, encourage emotional comfort, improve their health condition, and provide new forms of joyful entertainment in their lives. The final evaluation indicates that all seniors were very enthusiastic about the experience. Copyright © 2016 Isabel Marcelino et al.


Marcelino I.,University of Vigo | Marcelino I.,Institute of New Technologies of Leiria | Marcelino I.,Polytechnic Institute of Leiria | Gois J.,Polytechnic Institute of Leiria | And 3 more authors.
Advances in Intelligent Systems and Computing | Year: 2015

As the world population is aging, numerous challenges were raised. How to maintain a sustainable aging? How to increase the active role of older adults in society? How to promote healthy aging along with the improvement of social and technological inclusion and enhance emotional well-being? How to preserve the vast tacit knowledge existent in seniors? Pervasive computing can giving an enormous contribution to overcome this issues. In the present paper we introduce eService platform as a novel service ecosystem mainly developed for senior population, including life experiences and knowledge record service. We have researched and selected the most relevant accessibility guidelines concerning senior population and made a low fidelity prototype, followed by both fidelity prototypes, one with and one without guideline application. Finally we conducted usability tests and semi structured interviews with 6 individuals to validate our work. The experimental results demonstrated that the proposed guideline checklist was validated, well accepted and easy to use by seniors. They also validate the extreme importance of knowledge preservation. © Springer International Publishing Switzerland 2015.


Marcelino I.,University of Vigo | Marcelino I.,Institute of New Technologies of Leiria | Marcelino I.,Polytechnic Institute of Leiria | Laza R.,University of Vigo | And 4 more authors.
Advances in Intelligent Systems and Computing | Year: 2015

In this paper, we present a solution to improve elderly's quality of life. eServices - Service platform for pervasive elderly care was designed to aggregate several services developed to meet senior population's needs. It monitors basic life signs, environment variables and uses personal location technology. Besides sensor services, eServices solution contains digital services align with emotional and social care needs. Due to target population specifications, eServices was designed to be as simple and accessible as possible in order to remove technological barriers. One of eServices major features is to detect imminent danger situations, act accordingly. It also collects the data from the sensors, location routines and from the interactions between the elderlies and the provided services to detect behavior deviations in order to act preventively. The platform was tested by seniors in real scenario. The experimental results demonstrated that the proposed platform was well accepted and easy to use by seniors, which demonstrated enthusiasm and interest in daily bases use. © Springer International Publishing Switzerland 2015.


Marcelino I.,University of Vigo | Marcelino I.,Institute of New Technologies of Leiria | Marcelino I.,Polytechnic Institute of Leiria | Laza R.,University of Vigo | And 3 more authors.
International Journal of Distributed Sensor Networks | Year: 2015

Smartphones and tablets proliferation enabled by accessible prices and also by the inclusion of sensing abilities promotes their use in several areas, such as healthcare. It opens new horizons in the field of continuous and noninvasive monitoring and support to population, namely, to seniors. Despite the great benefits that mobile sensing and social computing could provide to increase elderly's quality of life, many studies have shown that elderlies deal with difficulty with Information and Communication Technology (ICT). In this paper we present a solution to overcome barriers between elderlies and their ICT usage in order to potentiate all the benefits provided from mobile sensing and social computing. A survey on guidelines, standards, and advice regarding usability and accessibility issues when developing solutions for elderly people was carried out. This survey was made having in mind that senior population have singular requirements due to age related changes and also frequently technological illiteracy. We have identified and applied the most important guidelines to our solution. A prototype was made using responsive design in order to be adaptable to any type of devices. Regarding evaluation, usability tests and semistructured interviews were conducted in real scenario. © 2015 Isabel Marcelino et al.

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