Topic: Brain–computer interfaces

MetroXRAINE examines how measurement principles and instrumentation can make extended-reality systems, brain–computer interfaces and artificial intelligence more accurate and robust. Scientific sessions connect biosignal processing, wearable sensing, neuroimaging, human–machine interaction and rehabilitation with intelligent industrial measurement and immersive environments. The programme explores diagnostics using deep learning and hybrid intelligence, motor-behaviour measurements that guide neurological rehabilitation, and the movement of generative AI and language models onto resource-cons

Aims: nowadays, commercial lightweight electroencephalography (EEG) headsets such as Emotiv EPOC and Muse are gaining popularity in the neuroscience community, mostly in research that monitors natural behaviour outside traditional laboratory settings. These devices often utilize only a few dry or active electrodes in specific locations and signal quality is often inferior compared to their traditional counterparts equipped with electrode caps that require conductive paste for proper functioning. In this study, we wanted to assess the feasibility of a portable, dry electrode-based EEG headset m