Brain-Computer Interface-Based Real-Time Movement Control for Virtual Learning Environments
Abstract
The direct interaction with neural impulses can enable real-time movement control, thereby transforming virtual learning settings, through the use of brain-computer interface (BCI) technology. This investigation concentrates on the utilisation of BCI devices to enhance experiential learning, student engagement, and motor control in virtual environments. Students are able to engage in physically immersive activities, manipulate objects, and interact with simulations without the need for physical movement. The integration of BCI with VLEs enables the creation of more dynamic and personalised learning experiences, improves accessibility for students with physical disabilities, and increases their engagement. This area of research is focused on the design, fundamental algorithms, and user-friendliness of brain-computer interface (BCI) systems for educational environments. The potential concerns and solutions are analysed, including factors such as user adaption, disturbance in neural signals, and delay.