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Single Channel Surface EMG Based Biometrics

  • Samer Chantaf
  • Lobna Makni
  • Amine Nait-aliEmail author
Chapter
Part of the Series in BioEngineering book series (SERBIOENG)

Abstract

An emerging biometric method based on surface EMG (SEMG) signals is considered. For this purpose, this chapter consists of two main parts. The first part reviews the SEMG signals in response to a force of fixed intensity from which frequencial parameters are extracted from the Power Spectral Density (PSD). The second part considers the M-wave signals muscle response following an electrical stimulation. M-wave signals are then characterized by extracting parameters using wavelet networks. The radial basis neural network (RBF) method is then used to classify these parameters.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Lebanese University (LU)TripoliLebanon
  2. 2.Université Paris-Est, LISSI, UPECVitry sur SeineFrance

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