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Author Fuentes, Andres ♦ Fuentes, Ricardo ♦ Cabello, Enrique ♦ Conde, Cristina ♦ Martin, Isaac
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 ♦ Social sciences ♦ Sociology & anthropology ♦ Social problems & services; associations ♦ Social welfare problems & services ♦ Technology ♦ Medicine & health ♦ Personal health & safety ♦ Diseases ♦ Manufacture for specific uses ♦ Precision instruments & other devices
Subject Domain (in MeSH) Diagnosis ♦ Investigative Techniques ♦ Equipment and Supplies ♦ Analytical, Diagnostic and Therapeutic Techniques and Equipment ♦ Human Activities ♦ Anthropology, Education, Sociology and Social Phenomena ♦ Information Science ♦ Information Science ♦ Environment and Public Health ♦ Health Care
Subject Keyword Discipline Biotechnology ♦ Accidents, Traffic ♦ Prevention & Control ♦ Automobile Driving ♦ Geographic Information Systems ♦ Instrumentation ♦ Image Interpretation, Computer-assisted ♦ Imaging, Three-dimensional ♦ Photography ♦ Video Recording ♦ Equipment Design ♦ Equipment Failure Analysis ♦ Methods ♦ Pattern Recognition, Automated ♦ Signal Processing, Computer-assisted ♦ Transducers ♦ Evaluation Studies ♦ Journal Article ♦ Research Support, Non-u.s. Gov't
Abstract This paper discusses the overall design and implementation of a video sensor for the detection of risky behaviors of car drivers near previously identified and georeferenced black spots. The main goal is to provide the driver with a visual audio alert that informs of the proximity of an area of high incidence of highway accidents only if their driving behavior could result in a risky situation. It proposes a video sensor for detecting and supervising driver behavior, its main objective being manual distractions, so hand driver supervision is performed. A GPS signal is also considered, the GPS information is compared with a database of global positioning Black Spots to determine the relative proximity of a risky area. The outputs of the video sensor and GPS sensor are combined to evaluate a possible risky behavior. The results are promising in terms of risk analysis in order to be validated for use in the context of the automotive industry as future work.
Description Country affiliation: Mexico
Author Affiliation: Fuentes A ( Universidad de Colima (UCol), Mexico, Ave. Universidad #333, Colonia Las Víboras, Colima 28050, Mexico. fuentesg@ucol.mx.); Fuentes R ( Universidad de Colima (UCol), Mexico, Ave. Universidad #333, Colonia Las Víboras, Colima 28050, Mexico. fuentesr@ucol.mx.); Cabello E ( Universidad Rey Juan Carlos (URJC), Escuela Tecnica Superior de Ingenieria Informatica, Tulipán s/n, Móstoles, Madrid 28933, Spain. enrique.cabello@urjc.es.); Conde C ( Universidad Rey Juan Carlos (URJC), Escuela Tecnica Superior de Ingenieria Informatica, Tulipán s/n, Móstoles, Madrid 28933, Spain. cristina.conde@urjc.es.); Martin I ( Universidad Rey Juan Carlos (URJC), Escuela Tecnica Superior de Ingenieria Informatica, Tulipán s/n, Móstoles, Madrid 28933, Spain. isaac.martin@urjc.es.)
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 2014-10-24
Publisher Place Switzerland
e-ISSN 14248220
Journal Sensors
Volume Number 14
Issue Number 11


Source: WHO-Global Index Medicus