Classifying Brain Prints Using Grow And Learn Network
نویسندگان
چکیده
In this paper, a method to recognise persons using brain signal features classified by Grow and Learn (GAL) network is proposed. The features are obtained from brain signals and consist of gamma band spectral power. These brain signals are recorded from 61 electrodes located on the human scalp while the subjects are seeing a visual stimulus in the form of a picture. The experimental results using 800 brain signals from 40 subjects gave an average classification rate of 85.09 % using GAL network. This pilot investigation shows that the proposed method of recognising persons using their brain signals is worth further study.
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