Modeling and Analyzing Individual's Daily Activities using Lifelog
Modeling and Analyzing Individual's Daily Activities using Lifelog
复制标题
使用 Lifelog 建模和分析个人的日常活动
DOI：
10.1109/icess.2008.75
复制
发表时间：
2008
期刊：
影响因子：
--
通讯作者：
Qun Jin
中科院分区：
文献类型：
--
作者：
K. Takata;Jianhua Ma;B. Apduhan;Runhe Huang;Qun Jin
生活日志是由记录相同个体日常活动的一种或多种媒体形式组成的数据集。主要的挑战性问题之一是如何从多个传感器连续捕获和积累的庞大而复杂的生活日志数据中提取有意义的信息。本研究的重点是处理生活日志数据的活动模型和分析技术，以便：找到哪些事件/状态是有趣或重要的，以某种结构化和语义的方式总结有用的记录，以有效检索和呈现过去的生活经历，并利用这些经历进一步提高个体的生活质量。我们提出了一种集成技术，利用多个传感器捕获的不同类型数据之间的相关性来处理生活日志数据，而不是单独处理它们。为了使用和测试所提出的模型和分析技术，已经实现了几个原型系统并将其应用于一些特定领域的生活日志数据；例如，分别改进软件修订、管理儿童户外安全护理、提供跑步者锻炼帮助以及构建生活日志图像生成等方面的协作努力。
Lifelog is a data set composed of one or more media forms that record the same individualpsilas daily activities. One of the main challenging issues is how to extract meaningful information from the huge and complex lifelog data which is continuously captured and accumulated from multiple sensors. This study is focused on the activity models and analysis techniques to process lifelog data in order: to find what events/states are interesting or important, to summarize the useful records in some structured and semantic ways for efficient retrievals and presentations of past life experiences, and to use these experiences to further improve the individualpsilas quality of life. We propose an integrated technique to process the lifelog data using the correlations between different kinds of captured data from multiple sensors, instead of dealing with them separately. To use and test the proposed models and the analysis techniques, several prototype systems have been implemented and applied to some domain-specific lifelog data; such as in improving a grouppsilas collaborative efforts in revising a software, in managing kidpsilas outdoor safety care, in providing a runnerpsilas workout assistance, and in structuring lifelog image generation, respectively.
DOI：
10.1109/icip.2001.958135
发表时间：
2001-10
期刊：
Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205)
影响因子：
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作者：
K. Aizawa;Kenichiro Ishijima;Makoto Shiina
通讯作者：
K. Aizawa;Kenichiro Ishijima;Makoto Shiina