A low cost SSVEP-EEG based human-computer-interaction system for completely locked-in patients

Abstract

Human computer interaction (HCI) for completely locked-in patients is a very difficult task. Nowadays, information technology (IT) is becoming an essential part of human life. Patients with completely locked-in state are generally unable to facilitate themselves by these useful technological advancements. Hence, they cannot use modern IT gadgets and applications throughout the lifespan after disability. Advancements in brain computer interface (BCI) enable operating IT devices using brain signals specifically when a person is unable to interact with the devices in conventional manner due to cognitive motor disability. However, existing state-of-the-art application specific BCI devices are comparatively too expensive. This paper presents a research and development work that aims to design and develop a low-cost general purpose HCI system that can be used to operate computers and a general purpose control panel through brain signals. The system is based on steady state visual evoked potentials (SSVEP). In proposed system, these electrical signals are obtained in response of a number of different flickering lights of different frequencies through electroencephalogram (EEG) electrodes and an open source BCI hardware. Successful trails conducted on healthy participants suggest that severely paralyzed subjects can operate a computer or control panel as an alternative to conventional HCI device.

Exploring students’ emotional state during a test-related task using wearable electroencephalogram

“…The EEG signals were recorded with the OpenBCI device [40], [41], a low-cost open-source bio-signal amplifier that allows the acquisition of brain signals. From electrodes distributed in the upper part of the skull of the students, the signals are registered in time and the activation images of the brain areas will later be associated with the emotions of the student during performing a test as shown in Figure 3.…”