Review of Steady State Visually Evoked Potential Brain-Computer Interface Applications: Technological Analysis and Classification

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.

Optimal Stimulus Properties for Steady-State Visually Evoked Potential Brain–Computer Interfaces: A Scoping Review

“…With that expansion, several new paradigms and applications followed. Regarding SSVEP BCI, various application fields for impaired and non-impaired users now exist, including assistive technologies, (remote) control of vehicles, Internet of Things and virtual reality applications [4].…”

“…Therefore, non-invasive techniques, such as functional magnetic resonance imaging (fMRI) [6], functional near-infrared spectroscopy (fNIRS) [7], magnetoencephalography (MEG) [8] or electroencephalography (EEG) [9], are used in most BCI research and applications. Among these techniques, EEG is the most popular and widely used due to its portability, ease of use, high number of brainwave channels and affordability [4]. In general, three types of BCI exist.…”

Controlling a Wheelchair using a Brain Computer Interface based on User Controlled Eye Blinks

“…In the last decade, a variety of BCI technologies has been developed to help people with MND. Some of these technologies have allowed to upgrade the movement of people improving their lifestyles and bringing back their sense of *Corresponding Author 49 | P a g e www.ijacsa.thesai.org independence which are considered as navigation assistive technologies [11]. Among the different assistive technologies, one of the solutions that could help to people with movement disabilities is the wheelchairs controlled by BCI systems.…”