Spatial Information Extraction using Hidden Correlations

Chun Chih Lo, Kuo Hsuan Hsu, Mong Fong Homg, Yau Hwang Kuo

研究成果: Conference contribution

摘要

To promote independent living and elderly care in a smart living space, monitoring the activities of daily living and detecting upcoming critical situations are crucial. Thus, exploiting the spatial aspect related to the movement of the resident and their relations to a specific region is important. However, most of existing solutions do not consider related spatial aspect or it is incorporated in a very limited way, in which most solutions need to know the deployment location of sensors. To achieve this, a very time consuming sensor labeling process is needed. In this paper, an unsupervised spatial information extraction technique for smart living space is developed. This technique establishes an abstract spatial representation called virtual location for a physical living space without knowing the actual deployment location of the sensors in that space. A virtual location is achieved by utilizing our extended Louvain modularity method to extract key spatial features from the hidden correlations in the observations perceived through the sensors. By considering the characteristics of different sensors, the effectiveness of virtual location can be further improved. Two real world datasets are used to validate the applicability of the propose technique, and the experimental results for them achieve 90.3% and 71.7% V-measure values respectively.

原文English
主出版物標題2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2018
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781538660096
DOIs
出版狀態Published - 2018 十二月 18
事件29th IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2018 - Bologna, Italy
持續時間: 2018 九月 92018 九月 12

出版系列

名字IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC
2018-September

Other

Other29th IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2018
國家Italy
城市Bologna
期間18-09-0918-09-12

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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  • 引用此

    Lo, C. C., Hsu, K. H., Homg, M. F., & Kuo, Y. H. (2018). Spatial Information Extraction using Hidden Correlations. 於 2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2018 [8580676] (IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC; 卷 2018-September). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PIMRC.2018.8580676