SSVEP-Based Brain-Computer Interface System for Managing Disabilities

Abstract

Brain-Computer Interface will recognize patterns in mental activity using the computer's algorithm in controlling a third-party device. Ideally, BDI will measure the activity of the brain to command and control messages. Electroencephalogram (EEG) is a commonly used approach in BCI based on its non-invasive and convenient use. As a result, more and more BCIs have been designed for persons with disabilities who suffer from spinal cord injury helping to rehabilitate and live. BCI includes feature extraction methods, the signal processing. Later, the different hybrid BCI combined methods and review the synchronous/asynchronous BCI designs.