  Smart technologies are significant in supporting ageing in place for elderly.
Leveraging Artificial Intelligence (AI) and Machine Learning (ML), it provides
peace of mind, enabling the elderly to continue living independently. Elderly
use smart technologies for entertainment and social interactions, this can be
extended to provide safety and monitor health and environmental conditions,
detect emergencies and notify informal and formal caregivers when care is
needed. This paper provides an overview of the smart home technologies
commercially available to support ageing in place, the advantages and
challenges of smart home technologies, and their usability from elderlys
perspective. Synthesizing prior knowledge, we created a structured Smart Home
Goal Feature Model (SHGFM) to resolve heuristic approaches used by the Subject
Matter Experts (SMEs) at aged care facilities and healthcare researchers in
adapting smart homes. The SHGFM provides SMEs the ability to (i) establish
goals and (ii) identify features to set up strategies to design, develop and
deploy smart homes for the elderly based on personalised needs. Our model
provides guidance to healthcare researchers and aged care industries to set up
smart homes based on the needs of elderly, by defining a set of goals at
different levels mapped to a different set of features.
