Premium
Exploring Mobility Indoors: an Application of Sensor‐based and GIS Systems
Author(s) -
Petrenko Anastasia,
Sizo Anton,
Qian Winchel,
Knowles A. Dylan,
Tavassolian Amin,
Stanley Kevin,
Bell Scott
Publication year - 2014
Publication title -
transactions in gis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.721
H-Index - 63
eISSN - 1467-9671
pISSN - 1361-1682
DOI - 10.1111/tgis.12102
Subject(s) - global positioning system , real time computing , computer science , wireless sensor network , context (archaeology) , accelerometer , wireless , tracking (education) , tracking system , telecommunications , computer network , geography , artificial intelligence , psychology , pedagogy , archaeology , kalman filter , operating system
The popularization of tracking devices, such as GPS , accelerometers and smartphones, have made it possible to detect, record, and analyze new patterns of human movement and behavior. However, employing GPS alone for indoor localization is not always possible due to the system's inability to determine location inside buildings or in places of signal occlusion. In this context, the application of local wireless networks for determining position is a promising alternative solution, although they still suffer from a number of limitations due to energy and IT ‐resources. Our research outlines the potential for employing indoor wireless network positioning and sensor‐based systems to improve the collection of tracking data indoors. By applying various methods of GIScience we developed a methodology that can be applicable for diverse human indoor mobility analysis. To show the advantage of the proposed method, we present the result of an experiment that included mobility analysis of 37 participants. We tracked their movements on a university campus over the course of 41 days and demonstrated that their movement behavior can be successfully studied with our proposed method.