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Automatic method for the recognition of hand gestures for the categorization of vowels and numbers in Colombian sign language based on Neural Networks (Perceptrons), Support Vector Machine and K-Nearest Neighbor for classifier /// Método automático para el reconocimiento de gestos de mano para la categorización de vocales y números en lenguaje de señas colombiano basado en redes neuronales (perceptrones), soporte de máquina vectorial y K-vecino más cercano para clasificador
🤖🏭💎 A project based in Computer Graphics and Interfaces. This project was built using HTML (HyperText Markup Language), CSS (Cascade Style Sheets), JavaScript and WebGL (Web Graphics Library). The application allows to move and manipulate an Industrial Automated Robotic Hand, all using 3D Modelling and 3D Objects. The Robotic Hand can be moved along the floor, do grab movements and rotate some of its own components. The movements and actions of the Robotic Hand are always performed using the keyboard and you can see all the action of multiple angles, using an Axonometric Projection!