Descrizione del progetto
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).
Campo scientifico (EuroSciVoc)
CORDIS classifica i progetti con EuroSciVoc, una tassonomia multilingue dei campi scientifici, attraverso un processo semi-automatico basato su tecniche NLP.
CORDIS classifica i progetti con EuroSciVoc, una tassonomia multilingue dei campi scientifici, attraverso un processo semi-automatico basato su tecniche NLP.
- scienze naturaliinformatica e scienze dell'informazionesoftware
- ingegneria e tecnologiaingegneria elettrica, ingegneria elettronica, ingegneria informaticaingegneria elettronicasistemi di controllo
- ingegneria e tecnologiaingegneria elettrica, ingegneria elettronica, ingegneria informaticaingegneria elettronicasensori
È necessario effettuare l’accesso o registrarsi per utilizzare questa funzione
Invito a presentare proposte
FP6-2005-IST-6
Vedi altri progetti per questo bando
Meccanismo di finanziamento
STREP - Specific Targeted Research ProjectCoordinatore
50018 ZARAGOZA
Spagna