CPC G06Q 30/0631 (2013.01) [A61B 5/381 (2021.01); A61B 5/384 (2021.01); A61B 5/6898 (2013.01); A61B 2503/12 (2013.01)] | 20 Claims |
1. A system, comprising:
a plurality of electroencephalograph (EEG) electrodes configured to sense an event-related potential of a subject based on a response to an olfactory stimulus; and
one or more engines configured to:
receive the event-related potential of a subject as EEG signals generated by the EEG electrodes;
process the EEG signals to generate EEG data; and
generate a product recommendation based at least on said EEG data, wherein the product recommendation is generated by a recommendation engine that includes a machine learning model trained on a set of supervised training data comprising images of electroencephalographs or brain activity maps of subjects exposed to known fragrances.
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