An Analytics Framework for Augmented Reality Applications

Authors

  • João Marcelo Xavier Natário Teixeira Federal University of Pernambuco - UFPE
  • Lucas Figueiredo
  • Lucas Maggi
  • Veronica Teichrieb
  • Marcel Santos
  • Cristiano Araújo

Keywords:

Visual Analytics, Augmented Reality

Abstract

Analytics is a well-known form of capturing information about the user behavior of an application. Augmented reality applications deal with specific data such as the camera pose, not being supported by popular analytics frameworks. To fill such gap, this work proposes an analytics framework solution for augmented reality applications. It supports both markerbased and markerless augmented reality scenarios, collecting data related to camera pose and time spent by the user on each position. Besides the multiplatform capture tool, the framework provides a data analysis visualization tool capable of highlighting the most visited 3D positions, users main areas of interest over the marker plane, the 3D path performed by the camera and also a recovery of the content viewed by the user based on the collected camera pose information. Tests were performed using as case study a promotional campaign scenario and user behavior information was extracted using the proposed visualization tools.

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Author Biography

João Marcelo Xavier Natário Teixeira, Federal University of Pernambuco - UFPE

Electronics and Systems Department

Associate Professor

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Published

2018-08-29

Issue

Section

Special Issue - SVR 2017