Holder Lawrence B, Cook Diane J
Washington State University, Pullman, WA, USA.
Gerontechnology. 2013 Jan 1;11(4):534-544. doi: 10.4017/gt.2013.11.4.005.00.
Performing daily activities without assistance is important to maintaining an independent functional lifestyle. As a result, automated activity prompting systems can potentially extend the period of time that adults can age in place. In this paper we introduce AP, an algorithm to automate activity prompting based on smart home technology. AP learns prompt rules based on the time when activities are typically performed as well as the relationship between activities that normally occur in a sequence. We evaluate the AP algorithm based on smart home datasets and demonstrate its ability to operate within a physical smart environment.
在没有他人协助的情况下进行日常活动对于维持独立的功能性生活方式至关重要。因此,自动化活动提示系统有可能延长成年人能够居家养老的时间。在本文中,我们介绍了AP,一种基于智能家居技术实现活动提示自动化的算法。AP根据活动通常执行的时间以及通常按顺序发生的活动之间的关系来学习提示规则。我们基于智能家居数据集对AP算法进行评估,并展示其在物理智能环境中运行的能力。