Authors:
Paulo Pombinho
;
Ana Paula Afonso
and
Maria Beatriz Carmo
Affiliation:
Faculdade de Ciências da Universidade de Lisboa, Portugal
Keyword(s):
Mobile Devices, Point of Interest, Mixed Environments, Indoor Positioning, Step Detection Algorithm.
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Computer Vision, Visualization and Computer Graphics
;
Context
;
Context-Aware Applications
;
Enterprise Information Systems
;
Human and Computer Interaction
;
Human-Computer Interaction
;
Location Systems and Technology
;
Mobile and Pervasive Computing
;
Mobile Computing
;
Paradigm Trends
;
Software Engineering
;
Telecommunications
Abstract:
Although location based applications have been gaining popularity, most positioning devices do not work when in an indoor environment, hindering the development of both mixed and indoor location based applications. In this paper we present a point of interest aware application that shows information to the user that is dependent on his indoor location. To be able to detect the user’s position, we propose a technique, based on the detection of footsteps, and the direction in which they were taken, to be able to calculate the position of the user inside a building. To improve the accuracy of the system, we use information about the buildings floor plan to create a graph that can be used to correct invalid movements.