US 12,432,405 B2
Methods and apparatus for network-based monitoring and serving of media to in-vehicle occupants
Edward Murphy, North Stonington, CT (US); Kelly Dixon, Sykesville, MD (US); Jennifer Carton, Ellicott City, MD (US); and Francis C. Fasinski, III, Columbia, MD (US)
Assigned to The Nielsen Company (US), LLC, New York, NY (US)
Filed by The Nielsen Company (US), LLC, New York, NY (US)
Filed on Nov. 21, 2023, as Appl. No. 18/515,439.
Application 18/515,439 is a continuation of application No. 16/886,487, filed on May 28, 2020, granted, now 11,949,935.
Claims priority of provisional application 62/965,036, filed on Jan. 23, 2020.
Prior Publication US 2024/0121458 A1, Apr. 11, 2024
Int. Cl. H04N 21/258 (2011.01); G06N 3/04 (2023.01); H04W 4/44 (2018.01)
CPC H04N 21/25883 (2013.01) [G06N 3/04 (2013.01); H04N 21/25891 (2013.01); H04W 4/44 (2018.02)] 14 Claims
OG exemplary drawing
 
1. A non-transitory computer-readable storage medium, having stored thereon program instructions that, upon execution by a processor, cause performance of a set of operations comprising:
obtaining data for a vehicle, wherein the data is associated with media output in the vehicle;
applying the data to a trained neural network to estimate vehicle occupant demographics of the vehicle when the vehicle occupant demographics of the vehicle are unknown,
wherein the trained neural network is trained using a plurality of sets of media output data, and wherein each set of media output data is linked with a respective vehicle of a plurality of vehicles and with a set of demographic data associated with one or more occupants of the respective vehicle of the plurality of vehicles;
estimating the vehicle occupant demographics of the vehicle, based on the applied data;
and
outputting the estimated vehicle occupant demographics.