EMG signals can be used for person identification using cepstrum and Vector Quantization techniques.
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EMG-based identification via cepstrum and VQ appears feasible; leaves open larger validation and security testing before adoption.
EMG signal distinct from one person to another person. Body mass, muscle fiber pattern, muscle size, motion of subject, neuromuscular activity, neurotransmitter activity in different areas within the muscle, different density of bone, changes in blood flow in the muscle, fatigue, skin conductivity, motor unit firing pattern, motor unit paths, distribution of heat in the muscle, skinfat layer, motor unit recruitment order and characteristics of muscle, strength and force generated by the muscle changing from person to person. Change in measurement of EMG signal depends on many factors. Irrespective of which factor changes the EMG signal but physiologic dependent singularity is different and hence Electromyogram (EMG) can be used for person identification. Useful information present in EMG signal need to be extracted to discriminate different persons. In this work, EMG signal acquired from a single channel instrumentation system. Cepstrum technique used to extract features from EMG signal. The Vector Quantization (VQ) is used to build person models. 50 healthy persons EMG data is recorded in three sessions at different days. Person identification system developed using cepstrum and VQ provide good result in performance.
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M B Suresh (2014) studied this question.
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