Title
Interactive e-learning system using pattern recognition and augmented reality
Abstract
This paper proposes an interactive e-learning system using pattern recognition and augmented reality. The goal of proposed system is to provide students with realistic audio-visual contents when they are leaning. The proposed e-learning system consists of image recognition, color and polka-dot pattern recognition, and augmented reality engine with audio-visual contents. When the Web camera on a PC captures the current page of textbook, the e-learning system first identifies the images on the page, and augments some audio-visual contents on the monitor. For interactive learning, the proposed e-learning system exploits the color-band or polka-dot markers which are stuck to the end of a finger. The color-band and polka-dot marker act like the mouse cursor to indicate the position in the textbook image. Appropriate interactive audio-visual contents are augmented as the marker is located on the predefined image objects in the textbook. The proposed e-learning system was applied to the educational courses in the elementary school, and we obtained satisfactory results for real applications. We expect that the proposed e-learning system is popular when the educational contents and scenarios are sufficiently provided.
Year
DOI
Venue
2009
10.1109/TCE.2009.5174470
IEEE Trans. Consumer Electronics
Keywords
Field
DocType
pattern recognition,augmented reality,interactive learning,appropriate interactive audio-visual content,image recognition,proposed system,realistic audio-visual content,audio-visual content,interactive e-learning system,e-learning system,index terms — e-learning system,augmented reality engine,proposed e-learning system,feature extraction,object recognition,engines,electronic learning,mouse cursor
Computer vision,Interactive Learning,Computer aided instruction,E learning,Pattern recognition,Computer science,Pointer (user interface),Feature extraction,Exploit,Augmented reality,Artificial intelligence,Cognitive neuroscience of visual object recognition
Journal
Volume
Issue
ISSN
55
2
0098-3063
Citations 
PageRank 
References 
20
1.05
10
Authors
3
Name
Order
Citations
PageRank
Sang Hwa Lee113825.02
Junyeong Choi2374.03
Jong-Il Park346567.34