Improving classification performance of four class FNIRS-BCI using Mel Frequency Cepstral Coefficients (MFCC)

Muhammad Saad Bin Abdul Ghaffar,Umar S. Khan,J. Iqbal,Nasir Rashid,Amir Hamza,Waqar S. Qureshi,Mohsin I. Tiwana,U. Izhar

Infrared Physics & Technology（2021）

引用 19|浏览3

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摘要

•Mel Frequency Cepstral Coefficients (MFCC) are novel features which have not been used in classification of fNIRS-BCI.•Open access data base has been used to determine the accuracy.•Work has been compared with existing features and robustness and reliability of MFCC has been shown.•A good accuracy has been achieved using MFCC.

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关键词

Multiclass Brain–Computer Interface (BCI),Functional Near-Infrared Spectroscopy (fNIRS),Mel Frequency Cepstral Coefficient (MFCC),Mental arithmetic,Motor imagery

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