  In this paper, we propose a cognitive system that acquires knowledge on
elderly daily activities to ensure their wellness in a smart home using a
Knowledge-Information-Data (KID) model. The novel cognitive framework called
high dimensional conceptual space is proposed and used as KID model. This KID
model is built using geometrical framework of conceptual spaces and formal
concept analysis (FCA) to overcome imprecise concept notation of conceptual
space with the help of topology based FCA. By doing so, conceptual space can be
represented using Hilbert space. This high dimensional conceptual space is
quantum inspired in terms of its concept representation. The knowledge learnt
by the KID model recognizes the daily activities of the elderly. Consequently,
the model identifies the scenario on which the wellness of the elderly has to
be ensured.
