HAOMI-VR
Hand Action Observation and Motor Imagery in Virtual Reality
Overview
As part of my PhD research, I developed a virtual reality (VR) implementation of the conventional Action Observation + Motor Imagery (AO+MI) experimental paradigm used in brain–computer interface (BCI) training. This work was grounded in the findings of my systematic review of BCI hand-robot systems, which revealed that many existing devices lacked sufficiently engaging or immersive visual stimuli to elicit strong electroencephalography (EEG) responses for reliable machine-learning classification. By translating the AO+MI paradigm into an immersive VR environment, my research aimed to enhance user engagement, improve neural signal quality, and support more effective BCI training for motor rehabilitation and neurofeedback applications.
Video: Hand Action Observation and Motor Imagery in Virtual Reality