US 12,002,081 B2
System for generating product recommendations using biometric data
Fred Orsita, Clark, NJ (US); Jennifer Lee, Clark, NJ (US); and Shelby Stewart, Clark, NJ (US)
Assigned to L'OREAL, Paris (FR)
Filed by L'OREAL, Paris (FR)
Filed on Jun. 30, 2021, as Appl. No. 17/364,310.
Claims priority of provisional application 63/065,220, filed on Aug. 13, 2020.
Claims priority of provisional application 63/046,440, filed on Jun. 30, 2020.
Prior Publication US 2021/0406982 A1, Dec. 30, 2021
Int. Cl. G06Q 30/00 (2023.01); A61B 5/00 (2006.01); A61B 5/381 (2021.01); A61B 5/384 (2021.01); G06Q 30/0601 (2023.01)
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
OG exemplary drawing
 
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.