Voice Based Wheel Chair Movement Using N-Average Wavelet Algorithm

Banumathi.A.C, Dr. E. Chandra

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.

Keywords: Adaptive Neuro Fuzzy Inference System ANFIS, Mamdani & Sugeno Fuzzy Algorithm,

How to Cite?: Banumathi.A.C, Dr. E. Chandra, "Voice Based Wheel Chair Movement Using N-Average Wavelet Algorithm", Volume 7 Issue 9, September 2018, International Journal of Science and Research (IJSR), Pages: 215-219, https://www.ijsr.net/getabstract.php?paperid=ART2019932, DOI: https://dx.doi.org/10.21275/ART2019932