A Study on Estimating Brain Activity evoked by Language Stimuli when watching a Movie

Abstract

In this paper, we represent speech stimuli when watching a movie as BERT embedding vectors; build a regression model for estimating the brain activity state under the stimuli using the vectors as input; and evaluate the model by means of the correlation coefficient between the estimated state and the real state. Through this model, it was confirmed that the state of brain activity when brain received stimuli of the meaning of words can be estimated.