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Author Chaaraoui, Alexandros Andre ♦ Padilla-López, José Ramón ♦ Ferrández-Pastor, Francisco Javier ♦ Nieto-Hidalgo, Mario ♦ Flórez-Revuelta, Francisco
Source World Health Organization (WHO)-Global Index Medicus
Content type Text
Publisher Multidisciplinary Digital Publishing Institute
File Format HTM / HTML
Language English
Difficulty Level Medium
Subject Domain (in DDC) Computer science, information & general works ♦ Library & information sciences ♦ Philosophy & psychology ♦ Psychology ♦ Social sciences ♦ Sociology & anthropology ♦ Social problems & services; associations ♦ Social welfare problems & services ♦ Natural sciences & mathematics ♦ Life sciences; biology ♦ Natural history of organisms ♦ Technology ♦ Medicine & health ♦ Incidence & prevention of disease ♦ Diseases
Subject Domain (in MeSH) Eukaryota ♦ Organisms ♦ Behavior and Behavior Mechanisms ♦ Psychological Phenomena and Processes ♦ Psychiatry and Psychology ♦ Health Occupations ♦ Physical Sciences ♦ Social Sciences ♦ Human Activities ♦ Anthropology, Education, Sociology and Social Phenomena ♦ Information Science ♦ Information Science ♦ Health Care Facilities, Manpower, and Services ♦ Health Care
Subject Keyword Discipline Biotechnology ♦ Home Care Services ♦ Independent Living ♦ Telemedicine ♦ Methods ♦ Behavior ♦ Databases, Factual ♦ Humans ♦ Personal Autonomy ♦ Privacy ♦ Video Recording ♦ Journal Article ♦ Research Support, Non-u.s. Gov't
Abstract Due to progress and demographic change, society is facing a crucial challenge related to increased life expectancy and a higher number of people in situations of dependency. As a consequence, there exists a significant demand for support systems for personal autonomy. This article outlines the vision@home project, whose goal is to extend independent living at home for elderly and impaired people, providing care and safety services by means of vision-based monitoring. Different kinds of ambient-assisted living services are supported, from the detection of home accidents, to telecare services. In this contribution, the specification of the system is presented, and novel contributions are made regarding human behaviour analysis and privacy protection. By means of a multi-view setup of cameras, people's behaviour is recognised based on human action recognition. For this purpose, a weighted feature fusion scheme is proposed to learn from multiple views. In order to protect the right to privacy of the inhabitants when a remote connection occurs, a privacy-by-context method is proposed. The experimental results of the behaviour recognition method show an outstanding performance, as well as support for multi-view scenarios and real-time execution, which are required in order to provide the proposed services.
Description Country affiliation: Spain
Author Affiliation: Chaaraoui AA ( Department of Computer Technology, University of Alicante, P.O. Box 99, Alicante E-03080, Spain. alexandros@dtic.ua.es.); Padilla-López JR ( Department of Computer Technology, University of Alicante, P.O. Box 99, Alicante E-03080, Spain. jpadilla@dtic.ua.es.); Ferrández-Pastor FJ ( Department of Computer Technology, University of Alicante, P.O. Box 99, Alicante E-03080, Spain. fjferran@dtic.ua.es.); Nieto-Hidalgo M ( Department of Computer Technology, University of Alicante, P.O. Box 99, Alicante E-03080, Spain. mnieto@dtic.ua.es.); Flórez-Revuelta F ( Faculty of Science, Engineering and Computing, Kingston University, Penrhyn Road,Kingston upon Thames KT1 2EE, UK. F.Florez@kingston.ac.uk.)
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Reading ♦ Research ♦ Self Learning
Interactivity Type Expositive
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2014-05-20
Publisher Place Switzerland
e-ISSN 14248220
Journal Sensors
Volume Number 14
Issue Number 5


Source: WHO-Global Index Medicus