2015年
Algorithm to Estimate a Living Area Based on Connectivity of Places with Home
HCI International 2015 - Posters’ Extended Abstracts (Part II), CCIS 529
- ,
- ,
- 巻
- 529
- 号
- 開始ページ
- 570
- 終了ページ
- 576
- 記述言語
- 英語
- 掲載種別
- 論文集(書籍)内論文
- DOI
- 10.1007/978-3-319-21383-5_95
- 出版者・発行元
- SPRINGER-VERLAG BERLIN
We propose an algorithm to estimate a person's living area using his/her collected Global Positioning System (GPS) data. The most important feature of the algorithm is the connectivity of places with a home, i.e., a living area must consist of a home, important places, and routes that connect them. This definition is logical because people usually go to a place from home, and there can be several routes to that place. Experimental results show that the proposed algorithm can estimate living area with a precision of 0.82 and recall of 0.86 compared with the grand truth established by users. It is also confirmed that the connectivity of places with a home is necessary to estimate a reasonable living area.
- リンク情報
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- DOI
- https://doi.org/10.1007/978-3-319-21383-5_95
- DBLP
- https://dblp.uni-trier.de/rec/conf/hci/MatsuoHA15
- Web of Science
- https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000377405300095&DestApp=WOS_CPL
- URL
- http://dblp.uni-trier.de/db/conf/hci/hci2015-28.html#conf/hci/MatsuoHA15
- ID情報
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- DOI : 10.1007/978-3-319-21383-5_95
- ISSN : 1865-0929
- DBLP ID : conf/hci/MatsuoHA15
- Web of Science ID : WOS:000377405300095