Patent ID: 11868127
Assignee: STRONG FORCE TP PORTFOLIO 2022, LLC
Field: Control (Instruments)
Classification: CPC G  A  B  Y | IPC B  G

Claim 12:
13. 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 having 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, wherein the recurrent neural network is 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, and 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
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,
wherein the artificial intelligence system is configured to maintain the first degree of the favorable emotional state of the rider through use of a modular neural network, the modular neural network comprising:
a rider emotional state determining neural network configured to process the emotional state indicative sensor data of the rider in the vehicle to recognize the patterns, wherein the patterns recognized in the emotional state indicative sensor data are indicative of at least one of the first degree of the favorable emotional state of the rider, the second degree of the unfavorable emotional state of the rider, or the change in the emotional state of the rider;
an intermediary circuit configured to convert output data from the rider emotional state determining neural network into vehicle operational state data; and
a vehicle operational state optimizing neural network configured to adjust the operating parameter of the vehicle in response to the vehicle operational state data.