International Conference on Advances in Computing, Control and Networking - ACCN 2015
Author(s) : GEENG-NENG YOU, KUO-FENG HWANG , SHAN-CHIH LIN
With the rapid progress of mobile technology, applications of mobile devices about geographic navigation support to help people move around have been extensively explored during the last decade. However, most of these applications are focused on outdoors. This study presents a novel way to support indoor navigation. We explore various approaches to support indoor navigation and employ an image recognition technology called Scale Invariant Feature Transform (SIFT) to construct a prototype system. The prototype can be easily installed on smartphones for supporting indoor navigation. We did a field test on a real occasion of guiding new meeting attenders around the designated floor of a building. Most users with relevant devices had utilized the system and delivered precious feedbacks. The general responses about the usage of the system are acceptable and interesting. But this kind of test and users’ suggestions for improvements need to be further explored.