Periša Marko, Teskera Petra, Cvitić Ivan, Grgurević Ivan
University of Zagreb, Faculty of Transport and Traffic Sciences, Vukelićeva 4, 10000 Zagreb, Croatia.
Sensors (Basel). 2025 Jan 6;25(1):284. doi: 10.3390/s25010284.
The possibilities of the Ambient Assisted Living (AAL)/Enhanced Living Environments (ELE) concept in the environment of a smart home were investigated to improve accessibility and improve the quality of life of a person with disabilities. This paper focuses on the concept of predictive information for a person with disabilities in a smart home environment concept where artificial intelligence (AI) and machine learning (ML) systems use data on the user's preferences, habits, and possible incident situations. A conceptual mathematical model is proposed, the purpose of which is to provide predictive user information from defined data sets. This paper defines the taxonomy of communication technologies, devices, and sensors in the environment of the user's smart home and shows the interaction of all elements in the environment of the smart home. Through the integration of assistive technologies, it is possible to adapt the home to users with diverse types of disabilities and needs. The smart home environment with diverse types of sensors whose data are part of sets defined by a mathematical model is also evaluated. The significance of establishing data sets as a foundation for future research, the development of ML models, and the utilization of AI is highlighted in this paper.
研究了环境辅助生活（AAL）/增强生活环境（ELE）概念在智能家居环境中的可能性，以提高残疾人的可达性并改善其生活质量。本文聚焦于智能家居环境概念中为残疾人提供预测信息的概念，其中人工智能（AI）和机器学习（ML）系统使用有关用户偏好、习惯和可能发生的事件情况的数据。提出了一个概念性数学模型，其目的是从定义的数据集中提供预测性用户信息。本文定义了用户智能家居环境中的通信技术、设备和传感器的分类法，并展示了智能家居环境中所有元素的相互作用。通过整合辅助技术，可以使家庭适应不同类型残疾和需求的用户。还评估了具有不同类型传感器的智能家居环境，其数据是数学模型定义的数据集的一部分。本文强调了建立数据集作为未来研究、ML模型开发和AI利用基础的重要性。
