Authors : Sebástian Poveda Zavala, José Luis Murillo López, Kelvin Ortíz Chicaiza and Sang Guun Yoo
Abstract: Brain-computer interface is a technology which creates a new way of communication between a person’s brain and the external world. To achieve this objective, the brainwaves of a person must be gathered by using specialized devices and then classified in different categories that are associated with specific commands. In the process of brainwave gathering, brain activities of a person can be influenced by different types of stimuli to get the desired results and one of the most important and popular stimuli used in this field is steady state visually evoked potential. Based on this background, this review seeks to show and analyze a series of articles that have been executed around the world related to brain-computer interface applications using steady state visually evoked potential. This review has been executed with the objective of identifying the advantages and limitations of utilizing steady state visually evoked potentials, its main areas of application and the future challenges. Additionally, this review analyzes the different technologies involved to the implementation of state visually evoked potential systems such as signal classification techniques, electroencephalography devices, channels, verification metrics and experimental environments used in the research projects. In summary, this review intends to guide the scientific community about the different aspects involved in conducting research on the development of brain-computer interface applications using electroencephalography devices and steady state visually evoked potential.
Sebástian Poveda Zavala, José Luis Murillo López, Kelvin Ortíz Chicaiza and Sang Guun Yoo, 2020. Review of Steady State Visually Evoked Potential Brain-Computer Interface Applications: Technological Analysis and Classification. Journal of Engineering and Applied Sciences, 15: 659-678.