Mobile augmented reality based interactive teaching & learning system with low computation approach

This paper presents a fast and efficient hand gesture based mobile augmented reality (MAR) system for interactive classroom. It provides a complex visual augmented layer over static slides to understand the concepts more clearly without touching the computer devices or using whiteboard. Simple hand...

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Bibliographic Details
Published in2013 IEEE Symposium on Computational Intelligence in Control and Automation (CICA) pp. 97 - 103
Main Authors Prasad, Shitala, Peddoju, Sateesh K., Ghosh, Debashis
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2013
Subjects
Augmented Reality
Automation
Computational intelligence
Computer Vision
Decision support systems
Decision Tree
Gesture Recognition
Handheld computers
Human Computer Interaction
Segmentation
Tracking
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Summary:This paper presents a fast and efficient hand gesture based mobile augmented reality (MAR) system for interactive classroom. It provides a complex visual augmented layer over static slides to understand the concepts more clearly without touching the computer devices or using whiteboard. Simple hand gestures are used to interact with slides while presenting in the classroom or in any conference room with high accuracy and efficiency without any expensive hardware. The gesture path is tracked continuously using a color tracking algorithm proposed. A decision tree is used to make the decisions based on the gestures. The preliminary result indicates that the gesture recognition rate is near about approximately 94% and it is mostly acceptable. This enhances the user's interaction level with immersive feeling in immersive environment.
ISSN:2328-1448
DOI:10.1109/CICA.2013.6611669