This paper presents a mobile-based real-time information providing system with augmented reality, called Smart Advisor. Smart Advisor can make users' life convenient by informing necessary information and actions in advance by recognizing and tracking the interest object captured by the camera in mobile devices. Specifically, the proposed system will be helpful to the elderly/disabled users with vulnerable decision-making ability. For robust recognition in various environments, an object matching technique based on binary descriptors is applied with adaptive illumination compensation in limited search window. Then, the camera pose is reliably estimated by RANSAC and inverse-homography calculation. This system can be applicable to various areas, such as medical treatment, education, and game through the interlocking with the Internet of Things (IoT).
|Title of host publication||2016 IEEE International Conference on Consumer Electronics, ICCE 2016|
|Editors||Francisco J. Bellido, Daniel Diaz-Sanchez, Nicholas C. H. Vun, Carsten Dolar, Wing-Kuen Ling|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||2|
|Publication status||Published - 2016 Mar 10|
|Event||IEEE International Conference on Consumer Electronics, ICCE 2016 - Las Vegas, United States|
Duration: 2016 Jan 7 → 2016 Jan 11
|Name||2016 IEEE International Conference on Consumer Electronics, ICCE 2016|
|Other||IEEE International Conference on Consumer Electronics, ICCE 2016|
|Period||16/1/7 → 16/1/11|
Bibliographical notePublisher Copyright:
© 2016 IEEE.
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Electrical and Electronic Engineering