Thursday 15th November, 2pm, SAWB 422
Title: The hybrid BCI: A new infrastructure of Human Machine Interface
People who are totally paralysed (e.g., by amyotrophic lateral sclerosis (ALS) or brain-stem stroke) or have other severe movement disorders need alternative methods for communication to express their wishes and control. These individuals need an alternative communication channel that does not rely on the brain’s normal output pathways of peripheral nerves and muscles. A brain-computer interface (BCI) is a communication system that can help these users to interact with the outside environment by translating brain signals into machine commands. The BCIs basically try to figure out the subject’s voluntary intentions and decisions from the measurements of multichannel EEG. Advanced multivariate signal processing algorithms along with artificial intelligent techniques are mainly used in developing these interfaces.
Despite of extensive research on BCI for two decade of years, researchers are not yet succeed to develop any concise algorithm of BCI for disable users – as BCI often provides poor intension detection accuracy. Recently, researchers introduce a new type of BCI (known as hybrid BCI) that comprises of one or multiple type of simple BCIs and other non-BCI interface which is driven by any electro-physiological signal (such as ECG, EMG, EOG, eye-tracker). The main intention of introducing a hybrid BCI was to get improved performance in interfacing system.
In this talk I will introduce the basics of traditional and hybrid BCI. The audience will find some advantages of using hybrid-BCI.