Title :
A smart handheld device navigation system based on detecting visual code
Author :
Chi-Hung Chuang ; Jun-Wei Hsieh ; Kuo-Chin Fan
Author_Institution :
Dept. of Appl. Inf., Fo Guang Univ., Yilan, Taiwan
Abstract :
In this paper, a computer vision based method is proposed to deal with the problem of navigation for visually impaired people. Using the color information and the marker encoding method used in Augmented Reality, we design these color markers which can be placed in the environment. In practice, users used a Smart Phone to find the marker, and the phone will send a feedback to the users. Besides the code of the marker, we also use the data collected from Smart Phone´s sensor to improve the navigation system. Experimental results show that our color marker can be used in indoor and outdoor environments and can guide the users successfully to their destinations. They reveal the validity and feasibility of the system in navigation for visually impaired people.
Keywords :
augmented reality; computer vision; handicapped aids; image colour analysis; smart phones; augmented reality; color information; computer vision; marker encoding method; smart handheld device navigation system; smart phone; smart phone sensor; visual code detection; visually impaired people; Abstracts; Clouds; Color; Gravity; Navigation;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2013 International Conference on
Conference_Location :
Tianjin
DOI :
10.1109/ICMLC.2013.6890803