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An Ambient Approach to Emergency Detection Based on Location Tracking

机译:基于位置跟踪的环境突发事件检测方法

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In previous works overall activity and inactivity levels of users living in Ambient Assisted Living (AAL) enabled flats were determined using standard home automation sensors. The flats are regular dwellings for long-term use by approximately 30 tenants located in Kaiserslautern, Germany. In this real-world AAL project1 it was shown that basic inactivity alarms based on linear thresholds can be triggered within 30 to 180 minutes after the occurrence of a potential emergency. However, inactivity alarms are somewhat coarse and do not make full use of additional information inherent in the raw sensor data: spatial and temporal information regarding the location of a tenant in their flat and the time spent in a room. Using that information, it can be determined in which room a tenant has resided for how long at a given time. Hence, in this paper a method for location tracking is proposed, forming a novel alarming criterion.
机译:在以前的作品中,使用标准家庭自动化传感器确定了启用了环境辅助居住(AAL)的公寓的用户的总体活动和不活动水平。这些公寓是供德国凯撒斯劳滕(Kaiserslautern)约30名租户长期使用的常规住宅。在这个真实的AAL项目1中,表明可以在潜在紧急事件发生后30到180分钟内触发基于线性阈值的基本不活动警报。但是,不活动警报有些粗略,没有充分利用原始传感器数据中固有的其他信息:有关房客在其公寓中的位置以及在房间中花费的时间的时空信息。使用该信息,可以确定租户在给定时间在哪个房间居住了多长时间。因此,本文提出了一种位置跟踪方法,形成了一种新颖的告警准则。

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