Document Type
Conference Paper
Publication Date
10-2016
Publication Source
Proceedings of the 2016 ACM on Multimedia Conference
Abstract
In this work, we present a practical system which uses mobile devices for interactive manuals. In particular, there are two modes provided in the system, namely, expert/trainer and trainee modes. Given the expert/trainer editor, experts design the step-by-step interactive manuals. For each step, the experts capture the images by using phones/tablets and provide visual instructions such as interest regions, text, and action animations. In the trainee mode, the system utilizes the existing object detection and tracking algorithms to identify the step scene and retrieve the respective instruction to be displayed on the mobile device. The trainee then follows the displayed instruction. Once each step is performed, the trainee commands the devices to proceed to the next step.
Inclusive pages
689-690
ISBN/ISSN
978-1-4503-3603-1
Document Version
Postprint
Copyright
Copyright © 2016, Association for Computing Machinery
Publisher
Association for Computing Machinery
Place of Publication
Amsterdam, The Netherlands
eCommons Citation
Nguyen, Tam; Tan, Dorothy; Mirza, Bilal; and Sepulveda, Jose, "MARIM: Mobile Augmented Reality for Interactive Manuals" (2016). Computer Science Faculty Publications. 72.
https://ecommons.udayton.edu/cps_fac_pub/72
Included in
Graphics and Human Computer Interfaces Commons, Other Computer Sciences Commons, Theory and Algorithms Commons
Comments
The document available for download is the authors' accepted manuscript, provided in compliance with the publisher's policy on self-archiving. Permission documentation is on file.