US 11,868,127 B2
Radial basis function neural network optimizing operating parameter of vehicle based on emotional state of rider determined by recurrent neural network
Charles Howard Cella, Pembroke, MA (US)
Assigned to Strong Force TP Portfolio 2022, LLC, Fort Lauderdale, FL (US)
Filed by STRONG FORCE TP PORTFOLIO 2022, LLC, Fort Lauderdale, FL (US)
Filed on Oct. 30, 2022, as Appl. No. 17/976,839.
Application 17/976,839 is a continuation of application No. 16/694,770, filed on Nov. 25, 2019, granted, now 11,486,721.
Application 16/694,770 is a continuation of application No. PCT/US2019/053857, filed on Sep. 30, 2019.
Claims priority of provisional application 62/739,335, filed on Sep. 30, 2018.
Prior Publication US 2023/0049182 A1, Feb. 16, 2023
Int. Cl. G05D 1/00 (2006.01); G06N 20/00 (2019.01); G06N 3/086 (2023.01); G07C 5/00 (2006.01); G07C 5/08 (2006.01); G01C 21/34 (2006.01); G01C 21/36 (2006.01); G06Q 30/0208 (2023.01); G10L 15/16 (2006.01); G10L 25/63 (2013.01); G06V 20/59 (2022.01); G06F 40/40 (2020.01); G06V 20/64 (2022.01); B60W 40/08 (2012.01); G05B 13/02 (2006.01); G05D 1/02 (2020.01); G06N 3/04 (2023.01); G06N 3/08 (2023.01); G06Q 50/18 (2012.01); G06Q 50/30 (2012.01); G07C 5/02 (2006.01); G06N 3/045 (2023.01); G06N 3/02 (2006.01); G06Q 30/02 (2023.01); G06Q 50/00 (2012.01)
CPC G05D 1/0022 (2013.01) [B60W 40/08 (2013.01); G01C 21/3438 (2013.01); G01C 21/3461 (2013.01); G01C 21/3469 (2013.01); G01C 21/3617 (2013.01); G05B 13/027 (2013.01); G05D 1/0088 (2013.01); G05D 1/0212 (2013.01); G05D 1/0287 (2013.01); G06F 40/40 (2020.01); G06N 3/045 (2023.01); G06N 3/0418 (2013.01); G06N 3/08 (2013.01); G06N 3/086 (2013.01); G06N 20/00 (2019.01); G06Q 30/0208 (2013.01); G06Q 50/188 (2013.01); G06Q 50/30 (2013.01); G06V 20/59 (2022.01); G06V 20/64 (2022.01); G07C 5/006 (2013.01); G07C 5/008 (2013.01); G07C 5/02 (2013.01); G07C 5/08 (2013.01); G07C 5/0808 (2013.01); G07C 5/0816 (2013.01); G10L 15/16 (2013.01); G10L 25/63 (2013.01); B60W 2040/0881 (2013.01); G05D 2201/0213 (2013.01); G06N 3/02 (2013.01); G06Q 30/0281 (2013.01); G06Q 50/01 (2013.01)] 25 Claims
OG exemplary drawing
 
1. A system for transportation, comprising:
an artificial intelligence system for processing a sensory input from one or more sensors in a vehicle to determine an emotional state of a rider in the vehicle and optimizing an operating parameter of the vehicle to improve the emotional state of the rider;
wherein the artificial intelligence system includes:
a recurrent neural network configured to indicate a change in the emotional state of the rider in the vehicle by a recognition of patterns of emotional state indicative sensor data from the one or more sensors that monitor the rider, wherein the patterns are indicative of at least one of a first degree of a favorable emotional state of the rider or a second degree of an unfavorable emotional state of the rider, and wherein the recurrent neural network has one or more perceptrons that mimic human senses to facilitate a determination of the emotional state of the rider based on an extent to which at least one sense of the rider is stimulated; and
a radial basis function neural network configured to optimize, for achieving a target emotional state of the rider, the operating parameter of the vehicle in response to the indication of the change in the emotional state of the rider.