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Smart home care network using sensor fusion and distributed vision-based reasoning

机译:使用传感器融合和基于分布式视觉的推理的智能家庭护理网络

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A wireless sensor network employing multiple sensing and event detection modalities and distributed processing is proposed for smart home monitoring applications. Image sensing and vision-based reasoning are employed to verify and further analyze events reported by other sensors. The system has been developed to address the growing application domain in caregiving to the elderly and persons in need of monitored living, who care to live independently while enjoying the assurance of timely access to caregivers when needed. An example of sensed events is the accidental fall of the person under care. A wireless badge node acts as a bridge between the user and the network. The badge node provides user-centric event sensing functions such as detecting falls, and also provides a voice communication channel between the user and the caregiving center when the system detects an alert and dials the center. The voice connection is carried over an IEEE 802.15.4 radio link between the user badge and another node in the network that acts as a modem. Using signal strength measurements, the network nodes keep track of the approximate location of the user in the monitoring environment.The network also includes wall-mounted image sensor nodes, which are triggered upon detection of a fall to analyze their field-of-view and provide the caregiving center with further information about the user 's status. A description of the developed network and several examples of the vision-based reasoning algorithm are presented in the paper.
机译:提出了一种采用多种传感和事件检测方式以及分布式处理的无线传感器网络,用于智能家居监控应用。图像感测和基于视觉的推理被用来验证和进一步分析其他传感器报告的事件。开发该系统的目的是解决在照顾老人和有需要的受监视的人的护理方面不断增长的应用领域,这些人关心独立生活,同时保证在需要时能及时获得照顾者。被感测到的事件的一个例子是被护理者的意外跌倒。无线徽章节点充当用户与网络之间的桥梁。徽章节点提供诸如检测跌倒之类的以用户为中心的事件感测功能,并且当系统检测到警报并拨打中心时,还提供用户与护理中心之间的语音通信通道。语音连接通过用户徽章与网络中充当调制解调器的另一个节点之间的IEEE 802.15.4无线电链路进行。网络节点使用信号强度测量来跟踪用户在监视环境中的大概位置。该网络还包括壁挂式图像传感器节点,这些节点会在检测到跌倒时触发以分析其视场并向护理中心提供有关用户状态的更多信息。本文介绍了已开发网络的描述以及基于视觉的推理算法的几个示例。

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