文章基本信息

标题：Feature Extraction Using MFCC
本地全文：下载
作者：Shikha Gupta ; Jafreezal Jaafar ; Wan Fatimah Wan Ahmad 等
期刊名称：Signal & Image Processing : An International Journal (SIPIJ)
印刷版ISSN：2229-3922
电子版ISSN：0976-710X
出版年度：2013
卷号：4
期号：4
页码：101
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Mel Frequency Ceptral Coefficient is a very common and efficient technique for signal processing. Thispaper presents a new purpose of working with MFCC by using it for Hand gesture recognition. Theobjective of using MFCC for hand gesture recognition is to explore the utility of the MFCC for imageprocessing. Till now it has been used in speech recognition, for speaker identification. The present systemis based on converting the hand gesture into one dimensional (1-D) signal and then extracting first 13MFCCs from the converted 1-D signal. Classification is performed by using Support Vector Machine.Experimental results represents that proposed application of using MFCC for gesture recognition havevery good accuracy and hence can be used for recognition of sign language or for other householdapplication with the combination for other techniques such as Gabor filter, DWT to increase the accuracyrate and to make it more efficient.
关键词：Hand gesture; 1D signal; MFCC (Mel Frequency Cepstral Coefficient); SVM (Support Vector Machine