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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Augmented Reality Quiz using OpenCV and Gesture Recognition |
| Authors Name: | Shayesta Sana , Dr. Anil Kumar Pandey , Sakshi Yadav , Saurabh Singh |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_194878
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| Published Paper Id: | IJNRD2305320 |
| Published In: | Volume 8 Issue 5, May-2023 |
| DOI: | http://doi.one/10.1729/Journal.34192 |
| Abstract: | This research paper proposes an interactive learning system called AR Quiz that utilizes gesture recognition to enhance the user experience in educational quizzes. The system employs the OpenCV library, a popular computer vision tool, to process and analyze video input from a webcam. The system detects hand gestures to provide users with a new way to interact with the educational material. The AR Quiz system consists of three major components: the user interface, the gesture recognition module, and the quiz database. The user interface allows users to select and start a quiz, view their score, and navigate through questions. The gesture recognition module tracks hand movements and recognizes gestures, enabling users to select multiple-choice answers. The quiz database stores questions and answers, and the system generates new quizzes randomly from this database. The results of the experiment showed that the AR Quiz system is a viable option for enhancing interactive learning experiences. The system achieved an accuracy rate of 92% for detecting hand gestures and performed well in recognizing a variety of gestures. The user study conducted with 30 participants revealed that the AR Quiz system was positively received, with 83% of the participants reporting that the gesture recognition feature improved their overall experience. This research demonstrates the potential of combining computer vision techniques and interactive learning to create a more engaging and effective learning environment. Future research could investigate the effectiveness of the AR Quiz system in different educational contexts and explore the potential of incorporating other forms of interactive learning using gesture recognition. |
| Keywords: | AR Quiz, Gesture Recognition, OpenCV, Interactive Learning, Computer Vision. |
| Cite Article: | "Augmented Reality Quiz using OpenCV and Gesture Recognition", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.d137-d140, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305320.pdf |
| Downloads: | 000118752 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2305320 Registration ID: 194878 Published In: Volume 8 Issue 5, May-2023 DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.34192 Page No: d137-d140 Country: Lucknow, Uttar Pradesh, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2305320 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2305320 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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