Extracting and visualising human activity patterns of daily living in a smart home environment

被引:6
作者
Nam, Y. [1 ]
Rho, S. [2 ]
Lee, S. [3 ]
机构
[1] SUNY Stony Brook, Dept Elect & Comp Engn, Stony Brook, NY 11794 USA
[2] Korea Univ, Sch Elect Engn, Seoul, South Korea
[3] Korea Univ Technol & Educ, Sch Architecture & Architectural Engn, Chunan, South Korea
关键词
EXPLORATION;
D O I
10.1049/iet-com.2010.0936
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The authors present an approach that extracts human activity patterns of daily living and represents spatiotemporal relations between activities intuitively. In general, customised services are provided based on activity patterns of users. This study focuses on extracting and determining activities that occur simultaneously. In order to determine simultaneous activities, the authors analysed the daily activities that are collected from device applications such as location sensors and electronics. In addition, a context model using the incremental statistical method is organised and temporal relations between the activities patterns are analysed. Furthermore, information visualisation of the spatiotemporal topology with duration and frequency is demonstrated. Also, the authors have experimented on a test-bed called the ubiquitous smart space and compared the accuracy of the incremental statistical method with that of the non-incremental method.
引用
收藏
页码:2434 / 2442
页数:9
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