Paper Submission for H24
SMC2018:H24 submission site (external site)
Noninvasive brain computer interfaces (BCIs) offer many promising applications for individuals with various neurological diseases and injuries. The most notable current applications focus on the use of BCI systems to operate devices that compensate for lost speech (i.e., augmentative communication) or lost movement (i.e., wheelchairs or prosthetic limbs). Additional applications, such as the development of rehabilitative training programs to restore lost abilities have also recently attracted attention from the research community. Even though the current noninvasive BCI systems are promising, they lack the robustness and accuracy to be used outside the laboratory environments. Electroencephalography (EEG) is often used due to its portability and cost effectiveness in the BCI design. The speed and accuracy of current EEG-BCIs tend to decrease over time due to physiological or environmental artifacts, sensor failure, and user fatigue, which render EEG-BCIs impractical for real-life applications for assistive technologies. To overcome the variable performance of the EEG-based BCIs and enable robust BCI performance outside laboratory environments, hybrid BCIs that employ different physiological signals together with EEG have been developed. The aim of this special session is to discuss the most recent developments in the hybrid BCI systems.