BCI in classroom, system for assessing dynamic state of cognitive performance using EEG signals

Abstract

Brain Computer Interface is a technology where the real time brain activity is recorded and transmitted to an analyzer to interpret. BCI in Classroom will assist the facilitator and well as the learner. The facilitator can design the content in suitable to the learner learning style and provide Neuro-Feedback of the concentration applied and knowledge gained through computer based assessment. If the feedback is not considerate to the standard value, further motivation can be provided to enhance the learning process. This paper explains how to analyses BCI signals in the real life classroom environment ,method of study the Signals of an individual while performing a predefined task, procedure to procure, understand and evaluate the EEG signals. Analysis the EEG signals is done to interpret the brain signals based on frequency ranges depicting different waves Alpha, Beta, Gamma waves, an Algorithm was implemented in classifying the concentration levels as learning outcomes by taking Beta Waves into consideration for a set of students. This process helps to assess the learning outcome and academic performance of more than one learner by using BCI in the real life environment. The cognition levels of the learner are facilitated and motivation provided for better performance