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Open Access Dataset for Electromyography based Multi-code Biometric Authentication
In this study, forearm and wrist EMG data were collected from 43 participants over three different days with long separation while they performed static hand and wrist gestures.
Performance Optimization of Surface Electromyography (sEMG) based Biometric Sensing System for both Verification and Identification
Thus, the combination of the TD feature set and a four-channel sEMG system with one of the electrodes positioned on the FCU are recommended for optimal authentication performance.
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