The prototype uses a 64 sensor headset plus eye tracking to determine when a user has selected a particular movie. Machine learning is used to build a profile of videos one is interested in, allowing future content suggestions.  The user ultimately makes a selection using eye tracking.  The team is now working on a system that relies on brain signals alone for users who aren’t able to control their eyes or other muscles reliably,

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