A survey of Ambient Assisted Living systems: Challenges and opportunities

Ace Dimitrievski, Eftim Zdravevski, Petre Lameski, V. Trajkovik
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引用次数: 27

Abstract

As the research in Ambient Assisted Living (AAL) matures, we expect that data generated from AAL IoT devices will benefit from analysis by well established machine learning techniques. There is also potential that new research in ML and Artificial Intelligence (AI) can be used on data generated from the sensors used in AAL. In this paper we present a survey of the research in the related topics, identify its shortcomings and propose future work that will integrate these fields by collecting ambient sensor data and process the data by ML framework which can detect and classify activities.
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环境辅助生活系统的调查:挑战与机遇
随着环境辅助生活(AAL)研究的成熟,我们预计从AAL物联网设备生成的数据将受益于成熟的机器学习技术的分析。机器学习和人工智能(AI)的新研究也有可能用于AAL中使用的传感器产生的数据。在本文中,我们对相关主题的研究进行了调查,确定了其不足之处,并提出了未来的工作,将通过收集环境传感器数据和通过ML框架处理数据来整合这些领域,该框架可以检测和分类活动。
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