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Suitable Data Representation for Abnormal Pattern Detection in Smart Home Environment

机译:智能家居环境中异常模式检测的合适数据表示

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Development in the area of sensor technologies and subsequently applications within the Internet of Things allows the implementation of systems for continuous monitoring of human's vital parameters and daily activities. This development is welcomed since the population aged 65 and over is constantly increasing. Moreover, the number of seniors living alone is also increasing. The monitoring systems can contribute to the safety and security of elderly people and allow them to stay at home where they are used to live as long as possible. Application of various sensor types raises questions on the most suitable sensor data representation, not losing useful information, and also on the design of detection and evaluation algorithms. In the paper, we briefly present several existing approaches and explain why we decided to use the basic ideas coming from the area of behaviour informatics.
机译:在传感器技术领域和随后在互联网上的应用程序的开发允许实施系统,以持续监测人类的重要参数和日常活动。自65岁及以上的人口不断增加,这一发展受到欢迎。而且,独自生活的老年人的数量也在增加。监测系统可以为老年人的安全和安全性做出贡献,并让他们在习惯于尽可能长的地方留在家里。各种传感器类型的应用在最合适的传感器数据表示中提出了问题,而不是丢失有用信息,以及对检测和评估算法的设计。在论文中,我们简要介绍了几种现有方法,并解释了为什么我们决定使用来自行为信息学领域的基本思想。

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