A Comprehensive overview of AR/VR by Writing in Air
DOI:
https://doi.org/10.32628/CSEIT217294Keywords:
Alphabetic, OpenCV, Virtual Reality, Augmented RealityAbstract
The research is all about how often people could identify alphabets and numbers written in the open air. A leap motion captures motion trajectory information and plots it as a continuous stream of points. Lines would be combined and major slopes identified from the major points. Significant slopes are converted into directions by the use of geometry. Slope orientation is another name for this. Slope Alignment Sequence is a list of slope orientations that are used to individually depict Alphanumeric Letters. In this experiment, Dependency injection OpenCV is used to sketch on the camera with a virtual pen, i.e. any marker may be used to draw using the contour detection technique centered on the mask of the desired cultured reference marker. If you're a beginner who wants to enthuse your fellow members with a visual demonstration, the application user will be identified by the system until the produced slope direction sequence matches the system's comparison slope alignment sequence. In the algorithm's matching process, the sets and subsets process is used. The researchers suggested a new approach for classifying Alphabetic Chars written in the air in this article. The outcome of the experiment shows that the suggested approach is reliable.
References
- Alper Yilmaz, Omar Javed, Mubarak Shah, “Object Tracking: A Survey”, ACM Computer Survey. Vol. 38, Issue. 4, Article 13, Pp. 1-45, 2006 Taylor & Francis Journal of Information Display Volume 14, Issue 4, 2013 DOI:10.1080/15980316.2013.860928 Ref: ] http://learnrnd.com/news.php?id=Swarm_Clothing:Dress_Changes_Automatically_
- Yuan-Hsiang Chang, Chen-Ming Chang, “Automatic Hand-Pose Trajectory Tracking System Using Video Sequences”, INTECH, pp. 132- 152, Croatia, 2010
- Erik B. Sudderth, Michael I. Mandel, William T. Freeman, Alan S. Willsky, “Visual Hand Tracking Using Nonparametric Belief Propagation”, Mit Laboratory For Information & Decision Systems Technical Report P-2603, Presented at IEEE CVPR Workshop On Generative Model Based Vision, Pp. 1-9, 2004
- Robert Y. Wang, Jovan Popovi´c, “Real-Time Hand-Tracking with a Color Glove”, 2008
- T. A. C. Bragatto, G. I. S. Ruas, M. V. Lamar, “Real-time Video Based Finger Spelling Recognition System Using Low Computational Complexity Artificial Neural Networks”, IEEE ITS, pp. 393-397, 2006
- Yusuke Araga, Makoto Shirabayashi, Keishi Kaida, Hiroomi Hikawa, “Real Time Gesture Recognition System Using Posture Classifier and Jordan Recurrent Neural Network”, IEEE World Congress on Computational Intelligence, Brisbane, Australia, 2012
- Ruiduo Yang, Sudeep Sarkar, “Coupled grouping and matching for sign and gesture recognition”, Computer Vision and Image Understanding, Elsevier, 2008
- http://learnrnd.com/news.php?id=How_Printing_Batteries_Made,_Its_Structure_Usage_and_Futur e_Applications
- Jari Hannuksela, Sami Huttunen, Pekka Sangi, Janne Heikkila, “Motion-Based Finger Tracking For User Interaction with Mobile Devices” In Proc. 4th Eur. Conf. Vis. Media Production, pp. 1–6, London, U.K., 2007.
- H.M. Cooper, “Sign Language Recognition: Generalising to More Complex Corpora”, PhD Thesis, Centre for Vision, Speech and Signal Processing Faculty of Engineering and Physical Sciences, University of Surrey, UK, 2012
- Kim, Sung Deuk, Jaeyoun Yi, Hyun Mun Kim, and Jong Beom Ra. "A deblocking filter with two separate modes in block-based video coding." Circuits and Systems for Video Technology, IEEE Transactions on 9, no. 1 (1999): 156-160.
- Buckingham, Michael J., Broderick V. Berknout, and Stewart AL Glegg. "Imaging the ocean with ambient noise." Nature 356, no. 6367 (1992): 327-329.
- Vaseghi, Saeed V. Advanced digital signal processing and noise reduction. Wiley, 2008.
- Plataniotis, Konstantinos N., and Anastasios N. Venetsanopoulos. Color image processing and applications. Springer, 2000.
Downloads
Published
Issue
Section
License
Copyright (c) IJSRCSEIT

This work is licensed under a Creative Commons Attribution 4.0 International License.