WAVELET TRANSFORM BASED CLASSIFICATION OF FINGER AND TONGUE MOVEMENT

Authors

  • Sumit M.Tech Student Deptt. of ECE, I.I.E.T College, Jind, K.U.K University, Kurukshetra
  • Amit Mahal Astt. Professor Deptt. of Electronics Engineering I.I.E.T College, Jind, K.U.K University

Keywords:

signal processing techniques, spinal cord, conventionally, external world

Abstract

Advancements in signal processing techniques leads the Electroencephalography (EEG) signal to be more extensively used in the field of Brain Computer Interface (BCI). Brain Computer Interface is the method of communication between human brain and an external device. People who are incapable to communicate conventionally due to serious injury like that of spinal cord, needs Brain Computer Interfaces to communicate with external world. BCI is an interfacing system that uses electrical signals (EEG) taken from the brain as an input and used them to control other devices such as a computer, robotic arm etc. The data for present work have been taken from BCI Competition 3rd data set-I. There are a number of features (Averages, Standard deviation, Kurtosis, Skewness and Wavelet energy) that can be extracted by different signal processing techniques. In the present work, Wavelet transform is used as a signal processing technique for feature extraction.

References

J. R. Wolpaw, G. Editor, N. Birbaumer, W. J. Heetderks, D. J. Mcfarland, P. H. Peckham, G. Schalk, E. Donchin, L. A. Quatrano, C. J. Robinson, T. M. Vaughan, and G.Editor,“Brain-Computer Interface Technology : A Review of the First International Meeting,” vol. 8, no. 2, pp. 164–173, 2000.

E. N. M. and F. L. da S. Editors, “Electroencephalography.” Lippincott Williams & Wilkins, 1999.

www.bbci.de/competition/iii.

W. Quigguo, M. Fei, W. Yijun, G. Xiaorong, and G. Shangkai, “Feature combination for classifying single-trial ECoG during motor imagery of different sessions,” Prog. Nat. Sci., vol. 17, no. 7, pp. 851–858, 2007.

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Published

30-06-2017

How to Cite

Sumit, & Amit Mahal. (2017). WAVELET TRANSFORM BASED CLASSIFICATION OF FINGER AND TONGUE MOVEMENT. International Journal for Research Publication and Seminar, 8(6), 1–6. Retrieved from https://jrps.shodhsagar.com/index.php/j/article/view/1147

Issue

Vol. 8 No. 6 (2017): Apr - June 2017

Section

Original Research Article

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Copyright (c) 2017 International Journal for Research Publication and Seminar

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