Falls in older adults are not only frequent but also potentially disabling for
them. Detecting and preventing these falls have an important impact in the life
of the elderly people. This paper presents the architecture of a pervasive
system designed to perform early detection of older adults in risk of falling
or fell down. The system notifies the appropriate people or healthcare
organizations in case of detecting a fall of the monitored person. This
monitoring process produces minimum disruption in the life style of the elderly.