@inproceedings{337c9a651aca4278b74f65b1c15645f4,
title = "Algorithm to estimate a living area based on connectivity of places with home",
abstract = "We propose an algorithm to estimate a person{\textquoteright}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.",
keywords = "Dementia, GPS, Living area, Watch-out",
author = "Yuji Matsuo and Sunao Hara and Masanobu Abe",
year = "2015",
month = jan,
day = "1",
doi = "10.1007/978-3-319-21383-5_95",
language = "English",
isbn = "9783319213828",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "570--576",
editor = "Constantine Stephanidis",
booktitle = "HCI International 2015 - Posters Extended Abstracts - International Conference, HCI International 2015, Proceedings",
note = "17th International Conference on Human-Computer Interaction, HCI International 2015 ; Conference date: 02-08-2015 Through 07-08-2015",
}