Safer@Home Analytics: A Big Data Analytical Solution for Smart Homes

Antorweep Chakravorty, T. Wlodarczyk, Chunming Rong
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引用次数: 1

Abstract

The vast amounts of data generated from sensors in smart homes, can give valuable insights about social and behavioral patters on households and their residents. The goal of the project is investigation & implementation of mechanisms to capture/store vast continuous streams of time-series data from optical movement sensors, analyze & mine for anomalies/changes enabling preventive care with mechanisms for presentation/visualization of meaningful information to target user groups (next of kin, care providers, professional services), while ensuring that the privacy of participants are preserved.
Safer@Home Analytics:智能家居的大数据分析解决方案
智能家居中的传感器产生的大量数据可以为家庭及其居民的社会和行为模式提供有价值的见解。该项目的目标是调查和实施机制,以捕获/存储来自光学运动传感器的大量连续时间序列数据流,分析和挖掘异常/变化,从而通过向目标用户群体(近亲、护理提供者、专业服务)展示/可视化有意义信息的机制进行预防性护理,同时确保参与者的隐私得到保护。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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