Transportation systems with optimization based on physiological state of occupants of vehicles
A transportation system, that optimizes at least one operating parameter of a vehicle based on a physiological state of an occupant of the vehicle, includes a sensor that senses a physiological condition of the occupant and that outputs data based on the sensed physiological condition. The transportation system further includes an artificial intelligence system that receives and processes the data to determine an emotional state of the occupant, and optimizes, for achieving a favorable emotional state of the occupant, the at least one operating parameter of the vehicle in response to detecting the emotional state of the occupant.
1. A transportation system that optimizes at least one operating parameter of a vehicle based on a physiological state of an occupant of the vehicle, the transportation system comprising:
a sensor that senses a physiological condition of the occupant and that outputs data based on the sensed physiological condition; and
an artificial intelligence system that:
receives and processes the data to determine an emotional state of the occupant; and
optimizes, for achieving a favorable emotional state of the occupant, the at least one operating parameter of the vehicle in response to detecting the emotional state of the occupant.
2. The transportation system of claim 1 wherein the artificial intelligence system comprises:
a first neural network that detects the emotional state of the occupant through analysis of data gathered by the sensor; and
a second neural network that optimizes, for achieving the favorable emotional state of the occupant, the at least one operating parameter of the vehicle in response to the detected emotional state of the occupant.
3. The transportation system of claim 2 wherein the sensor comprises:
an image capturing device that captures a set of images of a face of the occupant, the system further comprising:
an image processing system that produces feature vectors from the image, the feature vectors indicative of an emotional state of the occupant.
4. The transportation system of claim 3 wherein the first neural network detects the emotional state of the occupant through a recognition of patterns of the feature vectors indicating at least one of a favorable emotional state, and an unfavorable emotional state of the occupant.
5. The transportation system of claim 2 wherein the sensor comprises a voice capture system that captures a voice of the occupant, wherein the first neural network is trained to classify emotional states based on analysis of aspects of the captured voice.
6. The transportation system of claim 2 wherein the sensor comprises a wearable physiological condition sensor worn by the vehicle occupant.
7. The transportation system of claim 1 , wherein the artificial intelligence system optimizes the at least one operating parameter at least in part by applying a structured variation to the at least one operating parameter.
8. The transportation system of claim 7 , wherein the artificial intelligence system optimizes the at least one operating parameter at least in part by identifying whether the at least one operating parameter contributes to moving the occupant towards the favorable emotional state.
9. The transportation system of claim 1 , wherein the artificial intelligence system further applies a genetic algorithm for seeking the favorable emotional state.