DocumentCode :
3573652
Title :
NFC-based person-specific assisting system in home environment
Author :
Rabie, Ahmad ; Handmann, Uwe
Author_Institution :
Comput. Sci. Inst., Univ. of Appl. Sci., Bottrop, Germany
fYear :
2014
Firstpage :
5404
Lastpage :
5409
Abstract :
As smart homes are being more and more popular, the needs of finding assisting systems which interface between users and home environments are growing. Furthermore, for elderly and disabled people living in such homes it is totally important to develop devices, which can support and aid them in their ordinary daily life. This demands means and tools that extend independent living and promote improved health. In this work we reviewed the state of the art in the assistant systems in home environments. A case study of medical assisting system for elderly and people with disabilities is discussed deeply. A smart nfc-based person-specific assistant system for services in home environment is proposed. The role of this system is the assisting by controlling of home activities and adaption of home-human interface towards the needs of the considered person. For the special case of medical assisting the system has the ability of providing for elderly or disabled people person-specific medical assistance. The system has the ability of identifying its interaction partner using some biometric features. According to the recognized ID the system, first, adopts towards the needs of recognized person. Second the system represents person-specific list of medicaments either visually, on screen, or acoustic, speaker. And third the system gives an alarm in the case of taking medicament either later or earlier as normal taking time.
Keywords :
assisted living; biometrics (access control); geriatrics; near-field communication; ID recognization; NFC-based person-specific assistance system; biometric feature; health improvement; home-human interface; near field communication; person-specific medical assistance system; smart home Environment; Acoustics; Biomedical imaging; Classification algorithms; Feature extraction; Support vector machine classification; NFC; biometrics; face recognition; fingerprint recognition; multi-modal integration; palm vein recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2014 11th World Congress on
Type :
conf
DOI :
10.1109/WCICA.2014.7053637
Filename :
7053637
Link To Document :
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