Voice Based Wheel Chair Movement Using N-Average Wavelet Algorithm
Journal: International Journal of Science and Research (IJSR) (Vol.7, No. 9)Publication Date: 2018-09-05
Authors : Banumathi.A.C; E. Chandra;
Page : 215-219
Keywords : Adaptive Neuro Fuzzy Inference System ANFIS; Mamdani & Sugeno Fuzzy Algorithm;
Abstract
Many of the people are suffering from the permanent or temporary or birth disability. For the case of difficult or impossible walking, they can make use of wheelchair. To drive a wheel chair using Tamil voice commands for physically handicapped and aged peoples. The ANFIS is proposed to train the Tamil characters and run the wheel chair. A special feature selection algorithm called N-Average wavelet is proposed to select the best features. By applying the N-Average Wavelet algorithm a result has been achieved with an accuracy of 99 % for Tamil commands and maximum elapsed time is about 0.5 second.
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