Project description
AAL
The elderly suffer some disabilities that get worst with the passing years. These disabilities will make carrying out the the tasks of an independent life more difficult. It is a reality that the main disabilities (42%) prevent individuals from carrying out home tasks and that, about a fourth part of the household accident are produced in the kitchen, where the "white goods" are key elements. Facing this situation, the project consortium, has decided to carry out the EASY LINE+ project in order to develop prototypes near to market of advanced white goods in order to support elderly persons with or without disabilities to have a longer independent life and will compensate their loss of physical and/or cognitive abilities. The project foresees using the integrated RFID, Neuronal Networks and HMI technologies to build a system that can capture data of the home environment, and can control via wireless communication (Zigbee) or the mains electricity (EMS PLC), any white good in the home. The users, elderly persons, may actuate by himself any white good in the home, or may leave the "e-servant" to do the actuation. The e-servant will be a white good control system, based on the sensor information and the habits of the user that can program any application without/or with user cooperation. The e-servant, also will be a learning system that detects the loss of abilities of the user and tries to compensate them. The consortium of this project will be led BSH-E as European level and third at world level in White Goods manufacturing, jointly with R&D experts in new technologies suitable for increasing the functionalities of white goods like I3A (Neuronal Networks, Zigbee, RFID sensors), NEWI (Human Machine Interfaces). Accessibility expert as SBS C-LAB, important industries in RFID applications (IDENT), software/HM (ADSS) and domotic implementation (G2V).
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencescomputer and information sciencessoftware
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcontrol systems
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
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Call for proposal
FP6-2005-IST-6
See other projects for this call
Funding Scheme
STREP - Specific Targeted Research ProjectCoordinator
50018 ZARAGOZA
Spain