Vehicles with brain-computer interfaces for emotional states of riders
Systems for vehicles are provided. A system includes a brain-computer interface, an artificial intelligence system, and a vehicle control system. The brain-computer interface is configured to interact with the vehicle, to interact with a rider of the vehicle, and to generate output data. The artificial intelligence system is configured to receive the output data and to analyze an emotional state of the rider based on the output data. The vehicle control system is configured to optimize at least one operating parameter of the vehicle based on the emotional state of the rider as analyzed by the artificial intelligence system.
1. A system for a vehicle; the system comprising:
a brain-computer interface configured to:
interact with the vehicle;
interact with a rider of the vehicle; and
generate output data;
an artificial intelligence system configured to receive the output data and to analyze an emotional state of the rider based on the output data; and
a vehicle control system configured to optimize at least one operating parameter of the vehicle based on the emotional state of the rider as analyzed by the artificial intelligence system.
2. The system of claim 1 , wherein the brain-computer interface includes an electrical signal sensing interface.
3. The system of claim 1 , wherein the artificial intelligence system further comprises a first neural network trained to classify emotional states.
4. The system of claim 3 , wherein the first neural network detects the emotional state of the rider and indicates at least one of a favorable emotional state and an unfavorable emotional state of the rider.
5. The system of claim 1 , further comprising an intelligent agent module to provide a series of questions to the rider and to obtain feedback from the rider indicative of the emotional state of the rider.
6. The system of claim 5 , wherein the series of questions are indicative of sources of stress including questions related to at least one of traffic conditions, potential for late arrival, and behavior of other drivers.
7. The system of claim 6 , wherein the series of questions are indicative of solutions to the stress including questions indicative of route options and communication options.
8. The system of claim 7 , wherein the intelligent agent module is configured to modify one of entertainment and ride options in the vehicle based on the feedback.
9. The system of claim 7 , wherein the intelligent agent module constrains optimization of vehicle parameters not related to the sources of stress.
10. The system of claim 7 , wherein the artificial intelligence system is configured to optimize the at least one operating parameter including to adjust at least one of a route of the vehicle, in-vehicle audio content, a speed of the vehicle, an acceleration of the vehicle, a deceleration of the vehicle, a proximity to objects along the route, or a proximity to other vehicles along the route.
11. The system of claim 1 , wherein the emotional state is further based on at least one of traffic information, weather information, vehicle route information, a vehicle state, a physiological data of the rider, in-vehicle audio content, a vehicle speed, a vehicle acceleration, a vehicle deceleration, a proximity to objects along the vehicle route, or a proximity to vehicles along the vehicle route.
12. The system of claim 1 , further comprising an augmented reality system configured to present augmented content to the rider.