Voice Control Intelligent Wheelchair Movement Using CNNs

In this paper, we introduced a voice control intelligent wheelchair movement using Convolutional Neural Networks (CNNs). The intelligent wheelchair used four voice commands such as stop, go, left and right to assist disable people to move. Data are collected from google in the wav format. Mel-Frequency Cepstral Coefficient (MFCC) is applied to extract the command voice. The hardware used to deploy the system is Raspberry PI 3B+. The proposed method is using CNNs to classify the voice command and achieved excellent result with 95.30% accuracy. Therefore, the method can be commercialized and hopefully can give benefit to the disable society.