Title :
Epitalk Advisor System in Smart Home Context
Author :
Sun, Mei ; Giroux, Sylvain ; Pigot, Helene
Author_Institution :
Fac. of Math. & Comput. Sci., Hebei Univ., Baoding
Abstract :
Our societies are currently facing the increase of aged in the population. More and more elderly people suffer from the Alzheimer´s disease. In order to reduce the cost for caring these elders, to let these elders foster automatically, smart home (intelligent health home) is proposed as a recency solution. This paper presents that EpiTalk advisor system assists the cognitive impaired elder to complete the ADLs by curing at home. The common temporal problems of ADLs are solved, which are the sequential problem, the random problem, and the synchronisation problem
Keywords :
diseases; geriatrics; handicapped aids; health care; home automation; medical computing; Alzheimer disease; EpiTalk advisor system; cognitive assistance; cognitive impaired elderly people; intelligent health home; smart home; Aging; Alzheimer´s disease; Computer science; Costs; Curing; Machine learning; Mathematics; Senior citizens; Smart homes; State estimation; Sun; Activity recognition; Advisor system; Alzheimer´s disease; Assistive technology; Cognitive assistance; Smart home;
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
DOI :
10.1109/ICMLC.2006.258718
