Generalized EEG Data Acquisition and Processing System

Data acquisition is an integral part in any intelligent system to ensure the data captured can be processed to a meaningful deduction. It is common for the researchers to use the third-party hardware to collect raw data but integrating the processes into a research workflow is always a challenge. This is especially so for individuals working with sensors, such as electroencephalogram (EEG) headsets, as the amount of consumer support that these devices receive from their vendors does not cover the rigors of human-centered research. Researchers are forced to utilize services and functions offered by vendors that may not be tailored to their specific need. In this paper, we present a proposed methodology that is supported by a prototype to show the feasibility of consolidating the processes included in EEG-based user studies, as well as the data analysis that follows. The system presented utilizes a web application in order to facilitate the experimental data collection, record timings, and execute device calibrations. This interface is tied to an institution service-based pipeline that is not only capable of EEG data capturing, but able to produce data products for later analysis. It is envisaged that such an approach can be the first step in automating EEG data acquisition and its subsequent analytics.