VR + motion capture to study movement, sensory processing, in autism, AD, TBI

MoBi, developed by John Foxeat the University of Rochester, combines VR, EEG, and motion capture sensors to study movement difficulties associated with neurological disorders.


Motion sensor and EEG data, collected while a subject is walking in a virtual environment, are synchronized, allowing researchers to track which areas of the brain are being activated when walking or performing task. Brain response while moving, performing tasks, or doing both at the same time, is analyzed.

This technique could potentially guide treatment in Autism, dementia, and TBI, characterized by difficulty in processing sensory information from multiple sources and an abnormal gait.

Click to view University of Rochester video

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