Wang Shuang, Skubic Marjorie, Zhu Yingnan
Electrical and Computer Engineering Department, University of Missouri- Columbia, Columbia, MO 65211, USA.
Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:7232-5. doi: 10.1109/IEMBS.2009.5335252.
This paper describes ongoing work in analyzing sensor data logged in the homes of seniors. A visualization of motion sensor data in the form of a density map which uses different colors to show levels of activity was introduced previously. For evaluating changes in activity level and periodicity of life style, we introduce a dis-similarity measurement of density maps based on co-occurrence matrices. The dis-similarity between two density maps is captured using texture features for automatically determining changes in activity patterns. A case study is included to illustrate how the density map can be used to track activity patterns over time.
本文描述了在分析老年人家庭中记录的传感器数据方面正在进行的工作。之前曾介绍过以密度图形式呈现的运动传感器数据可视化，该密度图使用不同颜色来显示活动水平。为了评估活动水平的变化和生活方式的周期性，我们引入了一种基于共现矩阵的密度图差异测量方法。利用纹理特征来捕捉两个密度图之间的差异，以自动确定活动模式的变化。文中包含一个案例研究，以说明如何使用密度图来跟踪一段时间内的活动模式。
