Low-power and efficient ambient assistive care system for elders

Low-power and efficient ambient assistive care system for elders
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低功耗、高效的老年人环境辅助护理系统

DOI:
10.1109/cvprw.2011.5981824
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发表时间:
2011
期刊:
--
影响因子:
--
通讯作者:
Appiah K
Appiah K
中科院分区:
--
文献类型:
--
作者:
Appiah K

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本文介绍了一种低成本、低功耗的自动化家庭监护系统,能够对独居老人的活动水平进行独立监测。建议的系统运行在嵌入式平台上,带有专门安装在天花板上的视频传感器,用于智能活动监控。该系统有能力了解休息地点,测量总体活动水平,并检测特定事件,如潜在的跌倒。我们使用被摄体的头部位置来构建休眠位置的概率空间地图,该位置被表示为K-Means在相机视角空间中发现的簇中心。提出了一种能够在嵌入式平台上以合理速度运行的基于边缘的目标检测算法。通过一种新的方法来估计受试者的头部位置,该方法能够在任何资源受限的平台上运行,并且受到功率限制。
This paper presents a low-cost, low-power automated home-based surveillance system, capable of monitoring activity level of elders living alone independently. The proposed system runs on an embedded platform with a specialised ceiling-mounted video sensor for intelligent activity monitoring. The system has the ability to learn resting locations, to measure overall activity levels and to detect specific events such as potential falls. We build a probabilistic spatial map of resting locations using the head position of the subject, represented as cluster centres discovered by K-means in the camera view space. A novel edge-based object detection algorithm capable of running at a reasonable speed on the embedded platform has been developed. The head location of the subject is also estimated by a novel approach capable of running on any resource limited platform with power constraints.
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