Uma implementa\c{c}\~ao do jogo Pedra, Papel e Tesoura utilizando Visao Computacional

TL;DR

This paper introduces a computer vision-based implementation of the Rock, Paper, Scissors game that recognizes hand gestures through image segmentation and convex hull analysis, enabling automated game control.

Contribution

It presents a novel approach combining image segmentation and convex hull analysis for gesture recognition in a game setting.

Findings

Effective hand gesture recognition using convex hull analysis

Real-time game control based on gesture detection

Potential for interactive gaming applications

Abstract

This paper presents a game, controlled by computer vision, in identification of hand gestures (hand-tracking). The proposed work is based on image segmentation and construction of a convex hull with Jarvis Algorithm , and determination of the pattern based on the extraction of area characteristics in the convex hull.