Control Interface for Multi-User Video Games with Hand or Head Gestures in Directional Key-Based Games
Oscar Ramirez-Valdez, César Baluarte-Araya, Rodrigo Castillo-Lazo, Italo Ccoscco-Alvis, Alexander Valdiviezo-Tovar, Alexander Villafuerte-Quispe, Dylan Zuñiga-Huraca · International Journal of Advanced Computer Science and Applications · 2025
This paper describes the development and implementation of a hand or head gesture-based control interface for video games, enhanced for games that use directional keys. The objective is to develop an adaptive control system for a multiplayer video game that allows users to choose between the use of traditional directional keys or a gesture-based interface. The methodology used follows the Cross-Industry Standard Process for Data Mining (CRISP-DM) development model, which allows a structured integration of analysis, design, implementation and evaluation steps. Technologies such as OpenCV, MediaPipe and deep learning algorithms are used, translating hand movements into directional commands in real time. In addition, the system integrates a client-server architecture based on Node.js that supports multiple users, enabling an immersive gaming experience on PC and mobile platforms. The results highlight the accuracy of the system and its potential to improve accessibility, especially for users with motor disabilities by using their hands or head movements to control the directional keys. Concluding that the control interface for multi-user video games provides the necessary support to gamers in performing the task, promoting accessibility in the entertainment environment.