Dynamic Hand Gesture Authentication using Electromyography (EMG)

Biometrics has recently been the go-to authentication method in most electronic devices due to its convenience. There are two types of biometrics – static biometrics and dynamic biometrics. Hand gesture can both static and dynamic biometrics. Static hand gesture can be in the form of static hand sign; whereas dynamic hand gesture can be in the form of moving finger, hand, or arm. And due to its continuity, dynamic biometrics is usually correlated with behavioral. Hand gesture can also be a combination of both static and dynamic biometrics, for example continuous hand signs, where the hand sign is the static and the changes from one sign to another is the dynamic. In our research, we will be using the combination of both static and dynamic hand gesture. In order to simulate the worst case scenario, all the participants were asked to perform the same static hand gesture. From the result, it has been shown that the system can discern individuals through their gesture behavior. The accuracy rate from the confusion matrix and equal error rate from receiver operating characteristic (ROC) are above 0.84 and below 0.0701 respectively.