Sensing Home: A Cost-Effective Design for Smart Home via Heterogeneous Wireless Networks.
Sensing Home: A Cost-Effective Design for Smart Home via Heterogeneous Wireless Networks.
复制标题
传感家居：通过异构无线网络实现经济高效的智能家居设计
DOI：
10.3390/s151229797
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发表时间：
2015-12-03
期刊：
影响因子：
--
通讯作者：
Xie C
中科院分区：
文献类型：
--
作者：
Fan X;Huang H;Qi S;Luo X;Zeng J;Xie Q;Xie C
人口老龄化激发了先进的家庭医疗实时设备的营销，越来越多的可穿戴设备和移动应用程序在这一领域涌现。然而，如何正确收集行为信息，准确识别人类活动，并将整个系统部署到真实的生活环境中是一项具有挑战性的任务。在本文中，我们提出了一种可行的基于无线的解决方案，通过异构网络部署数据收集方案、活动识别模型、反馈控制和移动集成。我们比较并找到了一个合适的算法，可以运行在经济高效的嵌入式设备。具体来说，我们使用超集变换方法将原始数据映射到一个稀疏的二值矩阵中。此外，设计的低功耗前端设备通过ZigBee采集居住者的生活数据，减少布线工作的负担。最后，我们对我们的方法进行了评估，表明它可以达到98%的理论时间片精度。我们提出的地图解决方案兼容更多的可穿戴设备和移动应用程序。
The aging population has inspired the marketing of advanced real time devices for home health care, more and more wearable devices and mobile applications, which have emerged in this field. However, to properly collect behavior information, accurately recognize human activities, and deploy the whole system in a real living environment is a challenging task. In this paper, we propose a feasible wireless-based solution to deploy a data collection scheme, activity recognition model, feedback control and mobile integration via heterogeneous networks. We compared and found a suitable algorithm that can be run on cost-efficient embedded devices. Specifically, we use the Super Set Transformation method to map the raw data into a sparse binary matrix. Furthermore, designed front-end devices of low power consumption gather the living data of the habitant via ZigBee to reduce the burden of wiring work. Finally, we evaluated our approach and show it can achieve a theoretical time-slice accuracy of 98%. The mapping solution we propose is compatible with more wearable devices and mobile apps.