Development of a System for Calculating the Correlation between Blink Attributes and Attention Characteristics

Estimation of attention characteristics is used to analyze and improve processes of intellectual activity (e.g., in learning), as well as a way to obtain alternative feedback and create intelligent affective systems. This paper describes the creation of a tool designed to determine the correlation between levels of attention characteristics and electroencephalogram parameters using the Muse-Headband brain-computer interface (BCI), as well as the results of experiments carried out with our tool we designed and developed to find the correlation between levels of attention characteristics and blink attributes. The experiments have shown that there is an inverse linear relationship between measures such as blink rate and concentration level. The presence of this dependence gives us the opportunity to create more complex and in-depth systems for monitoring the level of attention properties, which can help to analyze and improve processes of intellectual activity. Such systems can operate independently, receiving data from a simple BCI via Bluetooth technology, which will have little or no distraction to users from their intellectual activities.