Year: 2024
Type: article
Abstract: The game of Rock, Paper, Scissors is very simple. Each player picks one of the three objects and these rules are applied to see who has won that round: Paper wraps (beats) Rock, Scissors cut (beat) Paper, Rock blunts (beats) Scissors The challenge of the game is to guess what your opponent will choose and pick the appropriate object to beat them. People find it quite hard to pick a sequence of perfectly random choices, so any pattern that a player develops could be learned by the opponent and used to win the game. We will be implementing AI Based classic rock, paper and scissor game. We capture our data using OpenCV and make the dataset with 3 type of hand gesture. Once the data is collected, we train our model. At last, we play the game using OpenCV. The basis of this project was to experiment with Deep Learning and Image Classification with the aim of building a simple yet fun iteration of the infamous Rock Paper Scissors game.
Authors: Gaurav Mathur, Yash Gupta, Chaitanya Manik, Dr. Vijayasherly V
Institution: Vellore Institute of Technology University
Language: English
Subfield: Human-Computer Interaction
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4402928640