This study aims to provide a microsleep predicting system using EEG signals. The system analyzes a user’s mental state with EEG signals in a real-time environment and alerts the user when the user’s future mental state is highly like to be in a microsleep state. The system predicts the probability of the user’s future mental […]
Experimental paradigm for EEG based off-line lie detection. Experiment consists of a 2-participant system with primary user(player) and observer, where the primary user (as per program instructions) tries to either truthfully or falsely report observed stimuli to the observer. Data collection is performed for EEG on both participants, as well as facial expression video of […]
We proposed a removal method of movement artifacts from EEG signals in real-time by estimating artifact signals using reference signals of isolated electrodes and IMU sensors and removing artifacts using constrained conditional adaptive method. Contact: Y.-E. Lee (ye_lee@korea.ac.kr) ?????
Augmented reality (AR) technology using a head-mounted display (HMD) is one of the fundamental tools in the next smart internet of things (IoT) society. Nowadays, portable brain-machine interfaces (BMIs) using an HMD have been studied for the future of BMI interlocked with the present IoT technology. In order to investigate the feasibility of the top-down […]
In this demo, SSVEP BCI based mole catching game was implemented for single and two-player mode. The user can catch the moles that appear randomly by paying attention to one of the three visual flickers flashing at different frequencies. In two-player mode, users can compete for scores, or they can cooperate in order to hit […]
This study aims to provide an intuitive BCI communication system using imagined speech paradigm. The system operates by user’s imagined speech, producing speech sound output using EEG as an input. While the subject performs imagined speech, model estimates the word class with the highest probability. By using this system, the user can feel as though […]
This study aims to apply the EEG meta-BCI system that estimates learning strategies of the subject on a virtual environment. While the model estimates the learning strategies the subject performs the penalty kick game, which is basically same as the two-stage MDP task. Well trained BCI system is possible to decode not only the learning […]
This video demonstrates a wireless BCI device for fNIRS and EEG signal measurements. Implemented using Bluetooth Low Energy communication protocol, it is possible to connect and measure multiple devices at the same time. In addition, measurement results can be transmitted in real-time. Contact: J.-W. Park (pjinwoo123@korea.ac.kr)
This technique is a smart home control system using a?smartphone. If you take a look at the icons you want to operate on the smartphone screen, you can control the appliances of a?living room, bedroom, kitchen, and utility room. Contact: M.-H. Lee (mh_lee@korea.ac.kr)
This neurofeedback game up/down-regulates target frequency power by modulating car speed in a racing game. During playing the?game, the direction is automatically changed, but the speed is changed upon target frequency band power. Subjects trained to modulate their brain activity by observing the feedback (car speed). Contact: K.-H. Won (kyunghowon0712@gist.ac.kr)