Augmented Reality-based Sudoku Solver with Training Module to Improve Cognitive Skills

This paper presents an interactive Augmented Reality (AR) Sudoku Scanner application that leverages Computer Vision and a dancing link algorithm to solve Sudoku puzzles in real-time. The application employs various techniques, including thresholding, greyscaling, and a Convolutional Neural Network (...

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Bibliographic Details
Published in2024 IEEE 3rd World Conference on Applied Intelligence and Computing (AIC) pp. 60 - 66
Main Authors Dugar, Abhinav, R, Sohanraj, Agarwal, Sparsh, Salvi, Sanket, Borkar, Mrunali
Format Conference Proceeding
LanguageEnglish
Published IEEE 27.07.2024
Subjects
Accessibility Features
Augmented Reality
Authentication
Character recognition
Computational modeling
Computer vision
Convolutional Neural Network
Convolutional neural networks
Data analysis
Data visualization
Educational Technology
Games
Human-Computer Interaction (HCI)
Machine Learning
Optical Character Recognition
Real-time systems
Training
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Summary:This paper presents an interactive Augmented Reality (AR) Sudoku Scanner application that leverages Computer Vision and a dancing link algorithm to solve Sudoku puzzles in real-time. The application employs various techniques, including thresholding, greyscaling, and a Convolutional Neural Network (CNN) model, to accurately recognize Sudoku grids and individual digits. Beyond the scanner, the proposed app integrates a playable Sudoku game with multiple difficulty levels, hint functionality, and sign-up/login-based user authentication for a personalized experience. A user leaderboard further incentivizes engagement. Furthermore, a feedback mechanism is implemented to gather user data and perform basic data analysis. This analysis, visualized through charts and diagrams, enables us to understand user interactions and optimize the application's user interface and experience. It was observed that the proposed app helped to improve cognitive skills in younger users compared to older ones.
DOI:10.1109/AIC61668.2024.10730905