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Exploring mobility indoors : an application of sensor-based and GIS systems / Anastasia Petrenko in Transactions in GIS, vol 18 n° 3 (June 2014)  

Public [article]  inTransactions in GIS > vol 18 n° 3 (June 2014) . - pp 351 - 369 Titre : Exploring mobility indoors : an application of sensor-based and GIS systems Type de document : Article/Communication Auteurs : Anastasia Petrenko, Auteur ; Anton Sizo, Auteur ; Winchel Qian, Auteur ; A.dylan Knowles, Auteur ; Amin Tavassolian, Auteur ; Kevin Stanley, Auteur ; Scott Bell, Auteur Année de publication : 2014 Article en page(s) : pp 351 - 369 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Navigation et positionnement [Termes IGN] mobilité urbaine [Termes IGN] portage [Termes IGN] positionnement en intérieur [Termes IGN] positionnement par WiFi [Termes IGN] réseau de capteurs [Termes IGN] système d'information géographique Résumé : (Auteur) 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. Numéro de notice : A2014-272 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT/SOCIETE NUMERIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12102 Date de publication en ligne : 13/06/2014 En ligne : https://doi.org/10.1111/tgis.12102 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33175 [article]