Abstract
Chess is a strategic game that enhances cognitive skills, yet its
physical demands can exclude players with motor disabilities. This
study presents a voice recognition system that enables chess piece
movement through verbal commands, enhancing accessibility. The
proposed solution integrates the VoiceRecognitionV3 module with
the Arduino Uno to recognize spoken commands related to game
actions. The methodology involves training the system to interpret
a structured set of voice commands, organizing the chessboard into
quadrants for efficient processing. Initial tests confirm the feasibility
of voice-controlled chess interactions, demonstrating potential
benefits for accessibility. However, limitations include the module’s
constraint of recognizing only seven commands simultaneously and
the necessity for user-specific voice training. Future improvements
may involve integrating advanced speech recognition algorithms
and machine learning to expand command recognition and adaptability.
This research highlights the potential of voice recognition in
interactive and inclusive gaming environments.