Name
Title | ||
|---|---|---|
Mobile augmented reality based interactive teaching & learning system with low computation approach |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/CICA.2013.6611669 | Computational Intelligence in Control and Automation |
Keywords | Field | DocType |
augmented reality,computer aided instruction,computer vision,decision trees,gesture recognition,human computer interaction,image colour analysis,mobile computing,object tracking,teaching,MAR system,color tracking algorithm,computer device,concept understanding,conference room,decision tree,gesture path tracking,gesture recognition,hand gesture based mobile augmented reality,immersive environment,immersive feeling,interactive classroom,interactive teaching system,learning system,slide interaction,static slides,user interaction,visual augmented layer,whiteboard,Augmented Reality,Computer Vision,Decision Tree,Gesture Recognition,Human Computer Interaction,Segmentation,Tracking | Mobile computing,Computer vision,Gesture,Computer science,Decision support system,Gesture recognition,Augmented reality,Video tracking,Whiteboard,Artificial intelligence,Immersion (virtual reality) | Conference |
ISSN | Citations | PageRank |
2328-1464 | 4 | 0.55 |
References | Authors | |
7 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shitala Prasad | 1 | 55 | 7.28 |
| Sateesh Kumar Peddoju | 2 | 12 | 1.59 |
| Debashis Ghosh | 3 | 496 | 49.16 |