Our laboratory investigates human perception and motor function through the analysis of neural and muscular signals. Using EEG, EMG, and neuroimaging data such as MRI structural image, we study brain activity related to movement, auditory perception, and human–machine interaction. We apply machine learning techniques to biosignal and imaging datasets to decode and predict human actions and sensory responses. Through multimodal measurement and data-driven analysis, we aim to advance neural engineering and human–machine interface technologies.

Controlling a virtual robotic arm with haptic feedback, recorded using BioSemi ActiveTwo