Development of Voice-Controlled Automatic Chessboard Games for People with Physical Disabilities
DOI:
https://doi.org/10.33795/jartel.v15i1.5575Keywords:
chess board game, disabilities, voice control, pocketsphinx, web speech apiAbstract
The development of chess board games in the field of technology focuses more on artificial intelligence, but less on people with physical disabilities, especially those with motor impairments who rely on human assistance to move pieces. The method in this research is Hidden Markov model used to calculate the probability of voice recognition on Pocketsphinx and Web Speech API. Voice input uses a filtered microphone which is first filtered by Pocketsphinx to generate commands to move the robot arm which utilizes a stepper motor device to move the pieces programmed on the Raspberry pi device and second filtered by the Web Speech API for reading the location of the pieces and notation using chess.js and chessboard.js with simulation. In ten trials of voice recognition Pocketsphinx and Web Speech API showed good to excellent results with percentage of success and WER values of 94% and 5.78% respectively for Pocketsphinx, and 98.75% and 99% on Web Speech API with WER values of 1.25% and 0.83% respectively in normal and eating movement conditions. The robot arm shows 100% accuracy in three trials with constant time and varies according to the notation distance from the initial position of the robot arm.
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