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.

翻译：智能技术在支持老年人居家养老方面具有重要意义。借助人工智能和机器学习，它能为老年人提供安心保障，使其能够继续独立生活。老年人使用智能技术进行娱乐和社交互动，这一应用可扩展至安全防护、健康与环境状况监测、紧急情况检测，以及在需要照护时通知非正式与正式护理人员。本文概述了市场上支持居家养老的智能家居技术、其优势与挑战，以及从老年人视角评估的可用性。通过综合已有知识，我们构建了一个结构化的智能家居目标特征模型，以解决老年护理机构领域专家及医疗研究人员在适配智能家居时采用的启发式方法。该模型使领域专家能够：(i) 建立目标，(ii) 识别特征，从而根据个性化需求制定设计、开发和部署老年人智能家居的策略。我们的模型通过定义不同层级的目标（映射至不同特征集），为医疗研究人员和老年护理行业提供指导，使其能基于老年人需求来构建智能家居。