The Internet of Things (IoT) provides smart solutions for future urban communities to address key benefits with the least human intercession. A smart home offers the necessary capabilities to promote efficiency and sustainability to a resident with their healthcare-related, social, and emotional needs. In particular, it provides an opportunity to assess the functional health ability of the elderly or individuals with cognitive impairment in performing daily life activities. This work proposes an approach named Cognitive Assessment of Smart Home Resident (CA-SHR) to measure the ability of smart home residents in executing simple to complex activities of daily living using pre-defined scores assigned by a neuropsychologist. CA-SHR also measures the quality of tasks performed by the participants using supervised classification. Furthermore, CA-SHR provides a temporal feature analysis to estimate if the temporal features help to detect impaired individuals effectively. The goal of this study is to detect cognitively impaired individuals in their early stages. CA-SHR assess the health condition of individuals through significant features and improving the representation of dementia patients. For the classification of individuals into healthy, Mild Cognitive Impaired (MCI), and dementia categories, we use ensemble AdaBoost. This results in improving the reliability of the CA-SHR through the correct assignment of labels to the smart home resident compared with existing techniques.

物联网（IoT）为未来的城市社区提供了智能解决方案，以最少的人为干预即可解决关键利益。智能家居提供必要的功能，以提高居民的医疗保健，社会和情感需求的效率和可持续性。特别是，它提供了一个机会，可以评估老年人或有认知障碍的个人在进行日常活动中的功能健康能力。这项工作提出了一种名为“智能家居居民认知评估”（CA-SHR）的方法，可以使用神经心理学家分配的预定义分数来衡量智能家居居民执行简单到复杂的日常生活活动的能力。冠心病还使用监督分类来衡量参与者执行任务的质量。此外，CA-SHR提供了时间特征分析，以估计时间特征是否有助于有效检测受损的个体。这项研究的目的是在早期发现认知障碍者。CA-SHR通过重要特征和改善痴呆患者的代表性来评估个人的健康状况。为了将个人分为健康，轻度认知障碍（MCI）和痴呆症类别，我们使用集合AdaBoost。与现有技术相比，这可以通过将标签正确分配给智能家居来提高CA-SHR的可靠性。