在智能家居中赋予残疾人权力,使用预测信息
Marko Periša1, Petra Teskera1, Ivan Cvitić1
1University of Zagreb, Faculty of Transport and Traffic Sciences, Vukelićeva 4, 10000 Zagreb, Croatia.
Sensors (Basel, Switzerland)
|January 11, 2025
概括
本研究探讨了针对残疾人的智能家居技术,使用人工智能 (AI) 和机器学习 (ML) 来预测需求并改善日常生活. 这项研究提出了个性化辅助环境的数学模型.
科学领域:
- 辅助技术 辅助技术 辅助技术
- 智能家居环境 智能家居环境
- 人工智能的人工智能
背景情况:
- 在智能家居中研究环境辅助生活 (AAL) 和增强生活环境 (ELE).
- 专注于改善残疾人的可访问性和生活质量.
- 解决个性化和适应性生活空间的需求.
研究的目的:
- 探索智能家居技术对残疾人的潜力.
- 开发用于预测用户信息的概念数学模型.
- 定义智能家居组件及其相互作用的分类法.
主要方法:
- 使用人工智能 (AI) 和机器学习 (ML) 系统.
- 分析用户偏好,习惯和潜在事件数据.
- 提出一个概念数学模型用于数据分析和预测.
- 定义通信技术,设备和传感器的分类.
主要成果:
- 提出了一个用于生成预测用户信息的概念数学模型.
- 定义了智能家居技术及其相互作用的分类.
- 辅助技术的整合可以使家庭适应各种用户需求.
结论:
- 使用AI/ML的智能家居环境可以显著改善残疾人的生活.
- 已建立的数据集对于未来的AI和ML模型开发至关重要.
- 拟议的模型为个性化辅助生活环境提供了基础.
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