Thesis - Instituto de Telecomunicações

Chapter 6Applications and ResultsThis chapter presents application results for the techniques and information sources describedin the previous chapters. We use the three signal types we analysed before andcreate a behavioral biometric classifier for each of them. The pointer dynamic biometricsare based on HCI source, namely the mouse movements. The heart dynamic biometricsuse the collected ECG signal. The sympathetic dynamic biometrics trait are based on theelectrodermal activity signal. In the context of the three biometric techniques, we reportan extended result analysis.6.1 Pointer Dynamics Biometrics6.1.1 Data PreparationWe ran a series of tests to evaluate the performance of the classification system. The userswere performing a set of 10 memory tests. This test was selected given that it was the onethat produced more user interaction events. The data that was collected from the 50 usersprovided more than 180 strokes per user. In order to use the same number of strokes peruser we randomly selected 180 strokes from each user.This set of strokes was divided into two equal parts, one for the training phase and theother for the testing phase. Using the training set we learnt the distribution parameters foreach user and each feature.When testing the system for a given user, we consider the remaining users as imposters.115