Abstract
A development of the intelligent wheelchair lab prototype is shown in the paper. VOIC is designed for physically disabled person, who can not control their movements and control the wheelchair with the joystick. The article describes basic components of voice recognition and wheelchair control system. Voice recognition begins with input signal sampling, word isolation, LPC cepstral analysis, coefficient dimension reduction and trajectory recognition using fixed point approach with neural networks. Wheelchair control system is divided into system for sensors data acquisition and system for wheelchair steering. The complexity of the voice recognition is reduced using LPC cepstral analysis and coefficient dimension reduction with minimum loss of vital information. A proper decision for the speech recognition using neural networks is supported with experimental results.
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