Behaviour Profiling with Ambient and Wearable Sensing
Behaviour Profiling with Ambient and Wearable Sensing
复制标题
通过环境和可穿戴传感进行行为分析
DOI：
10.1007/978-3-540-70994-7_23
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发表时间：
2007
期刊：
影响因子：
--
通讯作者：
Guang
中科院分区：
文献类型：
--
作者：
L. Atallah;M. Elhelw;J. Pansiot;D. Stoyanov;L. Wang;Benny P. L. Lo;Guang
本文研究了环境感知和可穿戴感知的组合使用来推断患者行为模式的变化。已经证明，使用可穿戴和基于BLOB的环境传感器，有可能开发出一种有效的可视化框架，允许在家庭护理环境中观察日常活动。为了突出活动模式的变化，提出了一种基于隐马尔可夫模型(HMM)的有效行为建模方法。这允许在相似性空间中表示序列，该相似性空间可用于聚类或数据探索。
This paper investigates the combined use of ambient and wearable sensing for inferring changes in patient behaviour patterns. It has been demonstrated that with the use of wearable and blob based ambient sensors, it is possible to develop an effective visualization framework allowing the observation of daily activities in a homecare environment. An effective behaviour modelling method based on Hidden Markov Models (HMMs) has been proposed for highlighting changes in activity patterns. This allows for the representation of sequences in a similarity space that can be used for clustering or data-exploration.