arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2301.11272cs.CYstat.AP
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使用IoT设备进行疗养院基于位置的活动行为偏差检测

Location-based Activity Behavior Deviation Detection for Nursing Home using IoT Devices

Billy Pik Lik Lau, Zann Koh, Yuren Zhou, Benny Kai Kiat Ng, Chau Yuen, Mui Lang Low

摘要:

随着物联网(IoT)和普适计算应用的发展,它为了解老龄化人口的行为提供了更好的机会。然而,在养老院场景中,用于跟踪独居老人的常见传感器和技术并不适合。在本文中,我们设计了一个基于位置的跟踪系统的四层楼的养老院-救世军,在新加坡的和平天堂养老院。这里的主要挑战是确定养老院的居民之间的群体活动,并检测他们是否有任何偏离的活动行为。我们提出了一个基于位置的偏离活动行为检测系统,利用数据融合技术来检测偏离活动行为。为了计算数据融合的功能,一个自适应的方法被应用于提取组和个人的活动时间,并产生每天的混合规范为每个居民。接下来,通过考虑每个居民的日常规范模式和日常输入数据之间的差异来执行偏离活动行为检测。最后,使用基于规则的分类方法对居民的偏离活动行为进行分类。通过实施,有44.4%的居民没有偏离活动行为,37%的居民涉及一种偏离活动行为,18.6%的居民有两种或两种以上偏离活动行为。

英文摘要:

With the advancement of the Internet of Things(IoT) and pervasive computing applications, it provides a better opportunity to understand the behavior of the aging population. However, in a nursing home scenario, common sensors and techniques used to track an elderly living alone are not suitable. In this paper, we design a location-based tracking system for a four-story nursing home - The Salvation Army, Peacehaven Nursing Home in Singapore. The main challenge here is to identify the group activity among the nursing home's residents and to detect if they have any deviated activity behavior. We propose a location-based deviated activity behavior detection system to detect deviated activity behavior by leveraging data fusion technique. In order to compute the features for data fusion, an adaptive method is applied for extracting the group and individual activity time and generate daily hybrid norm for each of the residents. Next, deviated activity behavior detection is executed by considering the difference between daily norm patterns and daily input data for each resident. Lastly, the deviated activity behavior among the residents are classified using a rule-based classification approach. Through the implementation, there are 44.4% of the residents do not have deviated activity behavior , while 37% residents involved in one deviated activity behavior and 18.6% residents have two or more deviated activity behaviors.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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