  The population of elderly people has been increasing at a rapid rate over the
last few decades and their population is expected to further increase in the
upcoming future. Their increasing population is associated with their
increasing needs due to problems like physical disabilities, cognitive issues,
weakened memory and disorganized behavior, that elderly people face with
increasing age. To reduce their financial burden on the world economy and to
enhance their quality of life, it is essential to develop technology-based
solutions that are adaptive, assistive and intelligent in nature. Intelligent
Affect Aware Systems that can not only analyze but also predict the behavior of
elderly people in the context of their day to day interactions with technology
in an IoT-based environment, holds immense potential for serving as a long-term
solution for improving the user experience of elderly in smart homes. This work
therefore proposes the framework for an Intelligent Affect Aware environment
for elderly people that can not only analyze the affective components of their
interactions but also predict their likely user experience even before they
start engaging in any activity in the given smart home environment. This
forecasting of user experience would provide scope for enhancing the same,
thereby increasing the assistive and adaptive nature of such intelligent
systems. To uphold the efficacy of this proposed framework for improving the
quality of life of elderly people in smart homes, it has been tested on three
datasets and the results are presented and discussed.
