首页> 外文期刊>IEEE Transactions on Fuzzy Systems >Linguistic Prototypes for Data From Eldercare Residents
【24h】

Linguistic Prototypes for Data From Eldercare Residents

机译:老年人护理数据的语言原型

获取原文
获取原文并翻译 | 示例
           

摘要

We present a model for the analysis of time series sensor data collected at an eldercare facility. The sensors measure restlessness in bed and bedroom motion of residents during the night. Our model builds sets of linguistic summaries from the sensor data that describe different events that may occur each night. A dissimilarity measure produces a distance matrix D between selected sets of summaries. Visual examination of the image of a reordered version of D provides an estimate for the number of clusters to seek in D. Then, clustering with single linkage or non-Euclidean relational fuzzy c-means produces groups of summaries. Subsequently, each group is represented by a linguistic medoid prototype. The prototypes can be used for resident monitoring, two types of anomaly detection, and interresident comparisons. We illustrate our model with real data for two residents collected at TigerPlace: the “aging in place” facility in Columbia, MO, USA.
机译:我们提出了一个模型,用于分析在养老机构收集的时间序列传感器数据。传感器可测量居民夜间在床和卧室中的动静程度。我们的模型根据传感器数据构建了语言摘要集,这些摘要描述了每晚可能发生的不同事件。差异度量产生所选摘要集合之间的距离矩阵D。视觉检查D的重新排序版本的图像可提供对D中要寻找的聚类数量的估计。然后,使用单链接或非欧几里得关系模糊c均值进行聚类可生成摘要组。随后,每个组由一个语言上的medoid原型表示。原型可用于居民监测,两种类型的异常检测和居民间比较。我们使用在TigerPlace收集的两名居民的真实数据来说明我们的模型:美国密苏里州哥伦比亚市的“老龄化”设施。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号