Design of a steady-state-visual-evokedpotential (SSVEP) based brain computer interface

• Main Author: Goh, Zhiyan
• Other Authors: Guan Cuntai
• Format: Final Year Project
• Language: English
• Published: 2018
• Subjects: DRNTU::Engineering::Computer science and engineering
• Online Access: http://hdl.handle.net/10356/73959
• Institution: Nanyang Technological University

This project is about developing a Brain Computer Interface (BCI)-Steady-State Visual Evoked Potential (SSVEP) system; BCI Speller. Alongside the BCI Speller, there are other smaller components that were created to evaluate different scenarios; Stimulus Design Test and Visual Field Test. The development of the BCI-SSVEP system was developed using Psychopy 1.8.5.3 which is written in Python 2.7. Emotiv Epoc+ was used to collect the SSVEP response generated by the flickering of the stimuli in the system. Furthermore, an experiment had been performed on two different layouts of the BCI Speller. From the results, it showed consistently that stimuli with a bigger surface area can induce better SSVEP response, and at the same time, it was suggested that concentration might be a factor in the difference between the individuals’ results.