Real-time In Ear Dataset

In-Ear dataset with processing code for performing continual learning in-person authentication

The problem of authenticating humans is agelong and a variety of datasets that employ biometrics exists to support research in this active area. The dataset provided presents real time observations from several subjects to address the problem of adapting continual learning systems to in-ear authentication. Estimates expected using the integrated statistics program include the Maximum, Minimum, Mean and Standard Deviation considering about 7 different trials per subject.