What is Brain-Computer Interface?
Brain-Computer Interface(BCI) is technology that provides direct communication pathway between brain and external devices. It allows people to move objects, type letters, etc. using only their mind. BCI systems are slowly being spread to the public, starting with patients with severe brain damage or impairment. BCI LAB takes interest in various areas of research related to BCI as well as health care.
BCI Speller enables user to type individual letters using only his/her brainwaves. Brain signals such as SSVEP(Steady State Visual Evoked Potential) and ERP(Event Related Potential) are used. Although such spellers are slow compared to conventional methods of typing by hand, they provide valuable ways of communication for certain patients with brain disorders.
BCI LAB is constantly trying to make applications that would benefit patients and healthy users as well. Below are few of these applications.
- World Tour System (WTS)
WTS is a system that is designed for patients with severe paralysis. It lets the user travel around the world using only the brain signals.
- BCI Drone
This is a cutting edge technology that allows the user to control drones using only our mind. The decoding of the brain signals as well as the operation of these devices are all done in real-time with minimal delay.
A study of attention improvement using open source-based neurofeedback game Mindcar. It uses Mindwave Mobile2 equipment and has individual mode and competitive mode.
The PC version's Mindcar game has been developed as an application and is expanding into mobile version.
Diagnosis of Alzheimer's disease
BCI LAB analyze MRI(Magnetic Resonance Imaging) using technologies such as big data, machine learning and deep learning. Through this, we are trying to find biomarkers for diagnosis, and furthermore, we will conduct research for early diagnosis.
Patient monitoring system for Parkinson's disease and Essential tremor
BCI LAB use a tablet PC and smartwatch to make digital diagnostic aids that can help clinical diagnostic methods. These devices digitize traditional analog methods and quantify symptoms such as tremors. We are currently working with hospitals to develop them for clinical use.