English

Predicting Interest Level based on EEG Scan Data using Machine Learning Algorithms

Abstract —In this paper, the question, “to what extent can EEG and machine learning be used to predict the self-reported interest level of a given student” is investigated. It was found that EEG and machine learning could be used to predict the self- reported interest level of a given student to a great extent. Classifiers were able to achieve a 67% accuracy in terms of binary prediction of interest level. This was after training and validating on a set of 30 EEG scans of 10 participants who read various articles while wearing an EEG headset and then self-reported their interest level.

Sign in with your free account to read, download EPUBs or listen.