Portal de Cartagena
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Researchers from the School of Teleco of the Polytechnic University of Cartagena have developed a wireless sensor-based system that helps detect domestic accidents elderly and disabled.
It is a system based on wireless sensors installed in the home to increase the autonomy of elderly or disabled people who live alone.
Devices "supervise" the daily actions of the person and automatically warns against any accident.
The research was developed in the doctoral thesis "Wireless sensor networks for ambient intelligence: Contributions as in the sensing and computing layers", defended yesterday by Francisco Fernandez Luque and directed by Juan Zapata and Gines Domenech.
The thesis is the result of work done for four years as part of several research projects in the field of wireless sensor networks and assistance to home life.
Fernandez Luque has been improvement in the sensor devices in three key areas: increase reliability, extend their autonomy and environmental details.
Among the advantages of the new device is the low energy consumption and respect for privacy, said Francisco Fernandez Luque.
The system consists of a small PC that processes information from wireless sensors installed in the home.
The system "learns the ways of the user and, if it detects something wrong, warns," say the researchers.
This part of the research was conducted in collaboration with the University of Murcia and Murcia Ami2 company dedicated to ambient intelligence.
That little PC can be configured to contact a telecare service or an exchange.
The system prevents people having to press a button to give warnings, because the sensors detect it automatically.
Another advantage of the system is that "alerts you to loss of consciousness or where people do not wear a telecare device hanged," say the researchers.
For example, it detects that a person takes five minutes in the hallway of his house at 3:00 in the morning or fall in the bedroom, she warns.
These devices monitor the activity in each of the rooms of the house, the occupation of the bed and the chair of the user and the opening of the door.
The researchers involved in this project belong to Electronic Design and Signal Processing Techniques.
Source: UPCT
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